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The Gentlemen ransomware: Dissecting a self-propagating Go encryptor

Ransomware that combines robust encryption with rapid lateral movement significantly increases the risk and impact of an attack. The Gentlemen ransomware is a ransomware-as-a-service (RaaS) threat that is distinguished by its ability to pair its strong per-file encryption with an aggressive self-propagation capability designed to enable broad network compromise. In addition to using per-file ephemeral Curve25519 keys with XChaCha20 stream cipher, The Gentlemen ransomware attempts to spread across an environment using series of simultaneous, distinct lateral movement methods, increasing the likelihood of widespread impact once initial access is achieved.

Microsoft Threat Intelligence tracks the operators behind the ransomware as Storm-2697, a financially motivated threat actor that manages the RaaS platform known as “The Gentlemen” while affiliates carry out attacks. Emerging around mid-2025, The Gentlemen initially started as a closed ransomware group then began offering its RaaS to affiliates in September 2025. More recently, The Gentlemen operators established an official partnership with BreachForums, a popular cybercriminal marketplace, to recruit affiliates including penetration testers and initial access brokers. Given that The Gentlemen is already a widely adopted RaaS platform, this partnership may lead to increased activity as the program becomes accessible to a broader pool of threat actors.

The operators behind the ransomware use double extortion tactics, encrypting data while also exfiltrating sensitive information to pressure victims through the threat of public release if the ransom is not paid. The ransomware is written in Go and obfuscated with Garble to target the Windows environment. Microsoft has observed The Gentlemen ransomware impacting organizations across education, transportation, healthcare, and financial industries in North America, South America, Europe, Africa, and Asia.

In this blog, we present a detailed analysis of the Gentlemen ransomware encryptor, including its execution flow, defense evasion behaviors, encryption design, and lateral movement techniques. This research is intended to provide defenders, incident responders, and the broader security community with a better understanding of how the threat operates, from initial argument parsing and defense evasion, through its file encryption internals, to the full lateral movement that enables it to propagate across the network. We also provide mitigation guidance, Microsoft Defender detections, hunting queries, and indicators of compromise (IOCs) to help organizations defend against this threat and similar ransomware activity.

Pre-encryption

Command-line argument processing

The ransomware operator can control The Gentlemen encryptor through command-line arguments. A password is required for execution, and optional arguments allow the operator to specify encryption scope, speed, lateral movement, and post-encryption behaviors.

The binary accepts the following arguments:

Command-line argumentDescription
--password <password>Required access password (build-specific)
--path <list of paths>Comma-separated list of target directories or file paths
--T <minutes>Delay in minutes before file encryption begins
--silentSilent mode. Disable renaming files, changing timestamps after encryption, and setting the desktop wallpaper
--systemEncrypt files as SYSTEM, targeting only local drives
--sharesEncrypt only mapped network drives and available Universal Naming Convention (UNC) shares
--fullTwo-phase encryption by relaunching itself as two separate processes, one with --system for local drives and one with --shares for network shares
--spread <domain/user:password>Enable self-propagation. Accept credentials for lateral movement. If no credential is provided, the current session token is used for lateral movement.
--ultrafastEncrypt 0.3% per chunk (~0.9% total for large files)
--superfastEncrypt 1% per chunk (~3% total for large files)
--fast Encrypt 3% per chunk (~9% total for large files)
--keepDisable self-delete after file encryption completes
--wipeWipe free disk space after encryption

The --full command-line argument appears to be the intended mode of operation for comprehensive file encryption on the infected device. When this argument is provided, the malware spawns two child processes of itself: one appended with the argument --system to encrypt local volumes under a SYSTEM-privileged scheduled task, and one appended with the argument --shares to encrypt network shares. This separation ensures that the malware can reach both local drives (which might require SYSTEM privileges) and mapped network shares (which are only visible in the user’s session).

Figure 1. Encryption mode command-line arguments

The speed arguments (--fast, --superfast, --ultrafast) are mutually exclusive and control how much of each large file is encrypted. When no speed flag is specified, the default per-chunk percentage is 9%. These flags only affect files that are larger than 1 MB, and small files are fully encrypted regardless of the speed setting.

Usage prompt

When the encryptor is executed with no command-line argument, the malware prints a branded usage banner to the console.

It first executes the following PowerShell commands to render a console header:

Screenshot of PowerShell code displaying two Write-Host commands with customized text and colors. The first command outputs "The Gentlemen" with dark gray background and white text, while the second outputs "Windows version" with blue background and white text.

This is followed by a detailed usage prompt provided by the malware author that documents all available flags with descriptions and examples:

Figure 2. The Gentlemen ransomware’s usage prompt

It is worth noting that the file size percentages listed in the usage prompt refer to the total file encryption amount. Internally, the malware encrypts three separate chunks, and the per-chunk percentage used in the code is: fast=3%, superfast=1%, ultrafast=0.3%, default=9%.

Password check

Before executing its primary functionality, the malware validates the --password argument against a hardcoded value embedded within the binary. For the sample analyzed in this blog, the expected password is “9VoAvR7G”. If the provided password does not match, the malware outputs bad args and terminates execution.

This password check is a simple operator authentication mechanism, with each build containing a unique embedded password. Its purpose is to restrict execution to authorized operators and reduce the risk of accidental or unauthorized detonation if the binary is recovered or intercepted. However, because this validation relies on a static comparison, it can be easily identified and bypassed through static analysis techniques.

System encryption: Privilege escalation

When the --system argument is provided (either directly or via the --full argument), the malware creates a scheduled task to re-execute itself as SYSTEM. If a delay value is also specified through the --T argument, the scheduled execution time is adjusted accordingly.

To relaunch itself as SYSTEM, it issues the following sequence of commands:

The malware can only perform this task if it’s executed from an account with administrator privilege. It first deletes any existing task named gentlemen_system to avoid conflicts, creates a new one-time task that runs its binary under the SYSTEM account, and finally triggers that task.

This sequence ensures a clean state by first removing any existing task with the same name (gentlemen_system), creating a new scheduled task that executes the ransomware binary with SYSTEM-level privileges before finally triggering its immediate execution.

When running within this scheduled task context, the malware sets the environment variable LOCKER_BACKGROUND=1. This variable functions as an internal execution flag, indicating that the process is operating as a background encryption worker with elevated privileges, rather than as the original operator-invoked instance.

Defense evasion

Before starting file encryption, the malware executes a sequence of commands to disable defensive controls and remove potential forensic artifacts.

Disable Microsoft Defender

Screenshot of a PowerShell script with commands configuring Windows Defender preferences. Commands include disabling real-time monitoring, adding a process exclusion placeholder, and excluding the C:\ path, all using the -Force parameter.

The PowerShell commands disable Microsoft Defender real-time monitoring to remove active protection on the infected device. The malware then adds its own executable to the Defender exclusion list to avoid detection. Finally, it excludes the entire C:\ volume from scanning, reducing the likelihood of subsequent detection during file encryption.

Delete shadow copies and event logs

To further impede recovery efforts, the malware deletes all Volume Shadow Copies using both vssadmin and wmic (Windows Management Instrumentation command-line utility). It then clears the System, Application, and Security event logs using wevtutil to remove key audit trails.

Delete forensics artifacts

These commands remove a variety of forensic artifacts, including prefetch files that track program execution, Defender diagnostic and support logs, and Remote Desktop Protocol (RDP) logs.

Additionally, the malware manually deletes PowerShell command history across all user profiles by removing the following file:

Screenshot of a file path in a Windows PowerShell console showing the directory location for PSReadline ConsoleHost history text file

This action eliminates evidence of previously executed PowerShell commands, further reducing the visibility of execution history and threat actor activity.

Process and service termination

Process termination

The malware stops a list of running processes using the command:

Screenshot of command used to stop a list of running processes with taskkill /IM <process_name>.exe /F

The table below summarizes the different categories and processes being targeted:

CategoryTargeted processes
Virtualizationvmms, vmwp, vmcompute, Docker Desktop
Databasessqlservr, sqlbrowser, SQLAGENT, sqlwriter, dbeng50, dbsnmp, mysqld, postgres, postmaster, psql, oracle, sqlceip, DBeaver, Ssms, pgAdmin3, pgAdmin4
Backup and recovery softwareVeeamNFSSvc, VeeamTransportSvc, VeeamDeploymentSvc, Veeam.EndPoint.Service, Iperius, IperiusService, vsnapvss, cbVSCService11, CagService, CVMountd, cvd, cvfwd, CVODS, xfssvccon, bedbh
Endpoint detection and response (EDR)vxmon, benetns, bengien, beserver, pvlsvr, avagent, avscc, EnterpriseClient, cbService, cbInterface, raw_agent_svc
SAPSAP, saphostexec, saposco, sapstartsrv
Office applicationsexcel, winword, wordpad, powerpnt, visio, infopath, msaccess, mspub, onenote
Email clientsoutlook, thunderbird, tbirdconfig, thebat
Web and application serversw3wp, isqlplussvc
Browser applicationsfirefox, steam, notepad
Remote access managementTeamViewer_Service, TeamViewer, tv_w32, tv_x64, mydesktopservice, mydesktopqos, mvdesktopservice
Accounting applicationsQBIDPService, QBDBMgrN, QBCFMonitorService
Other utilitiesencsvc, agntsvc, synctime, ocautoupds, ocomm, ocssd, DellSystemDetect

Service termination

In addition to terminating processes, the malware disables and stops a list of Windows services using the commands:

The table below summarizes the different categories and services being targeted:

CategoryTargeted services
Virtualizationvmms, docker
DatabasesMSSQLSERVER, MSSQL*, MSSQL$SQLEXPRESS, SQLSERVERAGENT, SQLAgent$SQLEXPRESS, sql, (.)sql(.), MySQL, MariaDB, postgresql, OracleServiceORCL
Backup, storage, and recovery softwareveeam, backup, vss, VeeamNFSSvc, VeeamTransportSvc, VeeamDeploymentService, BackupExecVSSProvider, BackupExecAgentAccelerator, BackupExecAgentBrowser, BackupExecJobEngine, BackupExecManagementService, BackupExecRPCService, BackupExecDiveciMediaService, AcronisAgent, YooBackup, AcrSch2Svc, VSNAPVSS, GxBlr, GxVss, GxClMgrS, GxCVD, GxClMgr, GXMMM, GxVsshWProv, GxFWD, PDVFSService
EDRSophos, DefWatch, SavRoam, RTVscan, ccSetMgr, ccEvtMgr, CAARCUpdateSvc, stc_raw_agent, MVarmor, MVarmor64, mepocs, memtas, zhudongfangyu
SAPSAP, SAPService, SAP$, SAPD$, SAPHostControl, SAPHostExec
Microsoft Exchangemsexchange, MSExchange, MSExchange$, WSBExchange
Accounting applicationsQBIDPService, QBDBMgrN, QBCFMonitorService
Other utilitiessvc$, YooIT

Terminating these processes and services serves two primary objectives:

  • File access and encryption reliability: Many targeted processes/services, such as databases, Office applications, and backup agents, maintain active file locks. By forcibly terminating these processes, the ransomware ensures that locked files become accessible for encryption.
  • Defense and recovery disruption: By stopping backup services, endpoint protection agents, and remote access tools, the malware reduces the likelihood of real-time detection and data restoration from backups.

Collectively, these behaviors maximize encryption coverage while hindering the environment’s ability to detect, respond to, or recover from the attack.

Persistence

The encryptor can establish persistence for itself through two mechanisms: scheduled tasks and registry keys.

Diagram illustrating persistence mechanisms divided into scheduled tasks and registry run keys. Each category branches into system-level and user-level update processes.
Figure 3. The Gentlemen ransomware’s persistence mechanism

Scheduled tasks persistence

For establishing persistence with scheduled tasks, the malware executes the following sequence of commands:

Screenshot of a command-line interface showing four schtasks commands for deleting and creating scheduled tasks named UpdateSystem and UpdateUser. Commands include parameters for task removal and creation with triggers set to run malware_path under SYSTEM user.

These commands first remove any pre-existing tasks with the same names, then create two persistence mechanisms that execute automatically at system startup. The UpdateSystem task launches the payload in the SYSTEM security context, while the UpdateUser task launches it in the currently signed-in user’s context. This design increases the likelihood that the ransomware will run after reboot regardless of privilege level or sign-in state.

Registry keys persistence

For establishing persistence with the registry, the malware executes the following sequence of commands:

The GupdateS value under HKEY_LOCAL_MACHINE (HKLM) provides device-wide persistence that allows the malware to run at startup for all users, while the GupdateU value under HKEY_CURRENT_USER (HKCU) provides user-scoped persistence within the current profile. By writing to both registry hives, the malware establishes redundant autorun paths across both system-level and user-level execution contexts.

Together, the scheduled tasks and Run key modifications create layered persistence, ensuring that the encryptor is re-executed after a reboot in both privileged and user-context scenarios.

Network share traversal

When the command-line argument --shares is provided, the malware initiates network share discovery and enumeration. It begins by probing all drive letters A through Z to identify mapped network drives using the following commands:

This sequence discovers any drives that are already mapped in the current user’s session, which are then added to the encryption target list.

To further enhance visibility into the network environment, the malware enables multiple Windows network discovery services and their associated firewall rules using the following commands:

The services enabled as part of this process include:

  • Function Discovery Resource Publication (fdrespub): Publishes the host’s resources to the network, allowing other systems to detect it.
  • Function Discovery Provider Host (fdPHost): Hosts provider components responsible for discovering network resources.
  • Simple Service Discovery Protocol (SSDP) Discovery (SSDPSRV): Enables discovery of Universal Plug and Play (UPnP) devices.
  • UPnP Device Host (upnphost): Supports the hosting and management of UPnP devices.

Finally, the malware reinforces this configuration by enabling the Network Discovery firewall rule group. This redundancy ensures that firewall restrictions do not limit its network visibility, further maximizing the number of reachable targets for encryption and propagation.

Volume and directory traversal

To enumerate all available volumes on the system, the malware executes the following PowerShell command sequence:

Screenshot of a PowerShell script retrieving volume information from local and cluster shared volumes. Script uses Get-WmiObject and Get-ClusterSharedVolume cmdlets, filtering and expanding volume names, with error handling for cluster volumes.

This command queries Windows Management Instrumentation (WMI) for all mounted volumes with drive letter paths and attempts to enumerate Cluster Shared Volumes (CSVs).

Additionally, the malware performs a secondary enumeration routine by iterating through drive letters A through Z while verifying their existence on disk. This brute-force method ensures broader coverage by identifying volumes that might not be retrieved through WMI queries to maximize visibility into all potential encryption targets.

Directory exclusion list

To maintain system stability and avoid disrupting critical operating system components, the malware excludes a predefined set of directories from traversal and encryption. These directories include core Windows system paths, application directories, and locations commonly associated with security and system management:

A screenshot of a text document listing various system and program file directories, including Windows, system volume information, Cynet Ransom Protection, Mozilla, Microsoft program files, and other application data folders. The list includes specific paths such as c:\intel, c:\program files\windows, and windows.old.

Extension exclusion list

The ransomware also excludes a set of file extensions associated with system-critical binaries, configuration files, and executable content:

A text-based list displays various file extensions commonly associated with executable, system, script, and multimedia files, arranged in multiple rows separated by commas. The list includes extensions like .exe, .dll, .sys, .bat, .cmd, .ps1, .scr, .msi, .ocx, .bin, .hta, .lnk, .ico, .cur, .ani, .pdb, .mod, .rom, and others.

By avoiding executable files, libraries, scripts, and other system-relevant formats, the malware preserves the integrity of the operating environment. This selective encryption model is a common ransomware design pattern, ensuring that the system remains operational enough for the victim to receive instructions and facilitate ransom payment.

File name exclusion list

The specific file names below are also excluded:

A screenshot displaying a list of system and configuration files with various extensions such as .ini, .bak, .db, .log, .sys, and .txt, and specific filenames like desktop.ini, autorun.ini, bootsect.bak, and README-GENTLEMEN.txt.

The inclusion of README-GENTLEMEN.txt, the ransomware’s ransom note, prevents it from being encrypted during execution. This ensures that the ransom instructions remain accessible to the victim, which is critical for the operator’s monetization workflow.

Ransom note

During directory traversal, the malware drops a ransom note named README-GENTLEMEN.txt in each scanned directory to provide victim-facing instructions.

The note contains identifiers assigned to the victim, communication channels, and guidance on how to initiate contact with the operators.

Screenshot of a ransomware note warning that network files have been encrypted and recovery is impossible without a unique decryption key. The note includes instructions for contacting attackers via Tor, threats of data publication if ransom is unpaid, and cautions against third-party recovery attempts.
Figure 4. Ransom note content

File encryption

File ownership

Before encrypting a file, the ransomware modifies the file ownership and access control settings to ensure it has unrestricted write access to the target. This is achieved through the following sequence of commands:

Screenshot of a command-line interface showing commands for file permission management in Windows. Commands include 'takeown' to take ownership, 'icacls' to grant full control permissions, and 'attrib' to remove read-only attribute from a specified file path.

The takeown command recursively transfers ownership of the specified file or directory to the executing user, overriding existing ownership constraints. The icacls command then grants full control permissions to the Everyone security identifier (SID S-1-1-0), applying inheritance flags to propagate these permissions to all child objects. Finally, the attrib command removes the read-only attributes.

Cryptographic scheme

The Gentlemen ransomware implements a hybrid cryptographic design that combines Curve25519 elliptic-curve cryptography with the XChaCha20 stream cipher to achieve efficient and secure per-file encryption.

For each file, the malware performs the following sequence of operations:

  1. Generates a unique ephemeral Curve25519 key pair, consisting of a randomly generated private key and its corresponding public key
  2. Computes the Elliptic-curve Diffie–Hellman (ECDH) shared secret between the ephemeral private key and the operator’s embedded public key
  3. Uses the resulting shared secret as the XChaCha20 key, and derives the nonce from the first 24 bytes of the ephemeral public key
  4. Encrypts the file contents using XChaCha20 with this key and nonce combination
  5. Appends the Base64-encoded ephemeral public key to the file footer to enable subsequent key reconstruction during decryption
Diagram illustrating a cryptographic process for encrypting a file using ECDH key exchange and XChaCha20 encryption. It shows flow from randomly generated public and private file keys through shared secret derivation, key and nonce generation, to producing encrypted file content and a Base64-encoded public file.
Figure 5. The Gentlemen ransomware’s file encryption mechanism

In this sample, the operator’s public key is hard-coded within the binary as a Base64-encoded value:

Screenshot of hexadecimal binary data

This design ensures that each file is encrypted with a distinct key and nonce derived from a per-file ephemeral key exchange, eliminating any possibility of key or nonce reuse across files.

During decryption, the decryptor can use the operator’s Curve25519 private key together with the stored ephemeral public key to reconstruct the ECDH shared secret and recover the XChaCha20 key. The nonce is deterministically reconstructed by extracting the first 24 bytes of the recovered ephemeral public key, making separate nonce storage unnecessary.

Overall, this approach provides strong cryptographic isolation between encrypted files while maintaining operational simplicity and efficiency for the threat actor during both encryption and decryption.

Size-based encryption

The malware uses different encryption strategies based on file size:

File sizeEncryption behavior
≤ 1 MB (0x100000 bytes)The entire file content is encrypted
> 1 MB (0x100000 bytes)Three chunks are encrypted at distributed offsets

Small files that are less than 1MB in size are fully encrypted. This ensures that documents, configuration files, and other small but critical data are completely corrupted. For larger files such as databases, virtual disk images, archives, full encryption would be time-consuming. Instead, the malware encrypts three data chunks distributed across the file, which is sufficient to corrupt the file structure while dramatically reducing encryption time.

After encryption, each affected file is renamed with the appended extension .umc16h. This extension serves as a quick indicator of files already encrypted by the ransomware.

Large file chunking logic

For files larger than 1 MB, the malware performs partial encryption by dividing the file into three non-contiguous chunks distributed across its contents:

Screenshot of a code snippet defining variables and calculations for encryption chunk offsets and lengths. It shows formulas for encrypt_amount, remaining, mid_offset, and three chunks with specific offsets and lengths based on file_size and ENCRYPTION_PERCENT.

The first chunk begins at the start of the file, the second is positioned near the midpoint, and the third is located toward the end. This distribution ensures that even limited encryption is sufficient to corrupt the file structure while minimizing processing time.

Each chunk is encrypted in 64 KB (0x10000) blocks using XChaCha20. To maintain cryptographic separation between chunks, the malware modifies the nonce on a per-chunk basis. Specifically, the last byte of the 24-byte XChaCha20 nonce is XOR-ed with the chunk index (0, 1, or 2), and a new cipher instance is initialized for each chunk using the modified nonce. As a result, chunk 0 uses the original nonce, while subsequent chunks use deterministically altered variants.

Although all chunks for a given file share the same derived encryption key, this nonce mutation ensures that each chunk is processed under a unique keystream, preventing keystream reuse across different regions of the file.

The encryption percentage for each file is determined by the provided speed command-line arguments:

ArgumentPer-chunk percentTotal encrypted percent (3 chunks)
(default)9%~27%
--fast3%~9%
--superfast1%~3%
--ultrafast0.3%~0.9%

File footer

After encrypting each file, the malware appends a structured footer containing metadata required for identification and decryption. The footer format differs slightly depending on whether the file was fully or partially encrypted.

Small file encryption (files ≤ 1 MB):

Screenshot of a hex editor displaying a file's hexadecimal data and decoded text side by side. Hexadecimal values are organized in rows with offsets on the left, showing a mix of alphanumeric characters and symbols, while decoded text on the right includes readable words like "marker" and "GENTLEMEN."
Figure 6. Small file footer example

Large file encryption (files > 1 MB):

Figure 7. Large file footer example

The footer serves three primary functions:

  1. Key and nonce reconstruction: The Base64-encoded ephemeral public key, located after --eph--, allows the decryptor to recompute both the XChaCha20 key (using ECDH shared secret) and the nonce (first 24 bytes of the ephemeral public key).
  2. Identification: The GENTLEMEN marker, located after --marker--, serves as a unique identifier, allowing encryptors/decryptors to quickly determine that the file has been encrypted by The Gentlemen ransomware.
  3. Decryption mode: The optional speed flag marker (only present on large files) tells the decryptor which chunking percentage was used.

Notably, the speed marker is only present for large-file encryption. Files that are ≤ 1 MB do not include a speed marker, and its absence signals that the file was fully encrypted. This implicit encoding in the footer allows the decryptor to distinguish between full and partial encryption modes without requiring additional metadata fields.

Post-encryption

Wallpaper setup

If the --silent argument is not provided, the malware drops the following bitmap image file to %TEMP%\gentlemen.bmp and sets it as the system’s desktop wallpaper.

Gentlemen ransomware’s wallpaper
Figure 8. The Gentlemen ransomware’s wallpaper

This behavior serves as an immediate visual indicator of compromise, signaling to the victim that encryption has completed.

Self-propagation

The self-propagation module is the more distinctive component of The Gentlemen ransomware. When enabled with the --spread argument, it turns the malware from a single-host encryptor into a self-propagating worm that attempts to deploy its encryptor to every reachable system on the network.

The --spread argument accepts either explicit credentials in domain/user:password format for authenticated lateral movement, or an empty string to reuse the current session’s authentication token.

Placeholder legend

The executed commands in this section use the following placeholders:

PlaceholderMeaning
<self>Host name of the infected device running the malware
<target>Remote host discovered during network enumeration
<malware_path>Full local path to the malware executable
<payload_name>The malware file name
<ps_blob>PowerShell defense evasion command executed on the remote target
<user>Username parsed from the provided credentials
<pass>Password parsed from the provided credentials
<time>Current time plus two minutes, formatted as HH:MM

Phase 1: Local staging setup

The malware prepares the infected host to act as a distribution point for its binary by executing the following command sequence:

The commands copy the malware executable into C:\Temp, creates a hidden Server Message Block (SMB) share named share$ pointing to that directory, and modifies registry settings to allow anonymous access. With this setup, other systems on the network can retrieve the payload from \\<self>\share$, even when valid credentials are not available.

Phase 2: PsExec drop

The malware binary carries an embedded copy of PsExec and drops it to C:\Temp\psexec.exe on the infected device.

If the embedded PsExec payload cannot be extracted successfully, the malware falls back to downloading PsExec directly from Microsoft’s Sysinternals Live service using the following PowerShell command:

Screenshot of a PowerShell command invoking a web request to download a file from a URL and saving it to a local directory. The command uses 'Invoke-WebRequest' with parameters '-Uri' specifying the download link and '-OutFile' indicating the destination path for 'psexec.exe'.

Phase 3: Network enumeration

After dropping PsExec, the malware attempts to enumerate and discover remote systems on the network, including workstations, servers, and domain controllers. Each discovered host becomes a candidate target for propagation.

Phase 4: PowerShell defense evasion blob

Before attempting to run the payload on a remote system, the malware executes the following PowerShell command on the remote target to weaken local defenses and make payload execution more reliable:

Screenshot of a PowerShell script configuring Windows Defender preferences and firewall settings, including disabling real-time monitoring, setting exclusion paths, and enabling SMB1 protocol. Script also modifies registry keys to allow anonymous access to network shares, with commands color-coded in purple, red, and blue for syntax highlighting.

This command disables Microsoft Defender real-time monitoring, adds broad Defender exclusions, turns off Windows Firewall across all profiles, shares local drives, grants permissive New Technology File System (NTFS) access, enables SMB1, and loosens anonymous-access restrictions through Local Security Authority (LSA) registry settings. Together, these changes make the remote system significantly more exposed and ready for the payload deployment step.

Phase 5: Payload deployment

For each discovered remote host, the malware attempts a series of independent lateral movement techniques to execute its payload. Notably, these techniques are executed without dependency on prior success, and each method is attempted regardless of whether earlier attempts fail. This execution model of The Gentlemen’s propagation logic can significantly increase the likelihood that at least one execution path succeeds even in secured environments.

5.1: Remote file copy

The malware first stages its payload on the remote system by copying the encryptor binary over the administrative C$ share:

Screenshot of malware copying its binary with copy C:\Temp\<payload_name> \\<target>\C$\Temp\<payload_name> /Y

This operation ensures a local copy of the payload is available on the target host, allowing subsequent execution methods to reference a path that does not depend on network shares.

5.2: PsExec-based execution

If PsExec is successfully dropped or downloaded, the malware leverages it to perform a multi-stage execution sequence on the remote host.

First, the malware executes the PowerShell defense evasion payload to weaken host protections:

After a delay to allow defenses to be disabled, the malware executes the payload from the locally staged path C:\Temp under SYSTEM privileges:

Screenshot of command line instructions showing usage of PsExec tool with and without credentials. Commands include parameters for target, payload location, user, and password, with forwarded arguments highlighted in blue brackets.

After another sleep period, the malware executes the final command to run the payload with the h flag for elevated token and c -f to copy and force execution:

Screenshot of command-line instructions showing usage of PsExec tool with and without credentials. Commands include options for accepting EULA, specifying target, user, password, and forwarding arguments, with color-coded text for commands, placeholders, and linked arguments.

5.3: WMIC process creation

The malware uses WMI via wmic.exe to create remote processes:

Screenshot of command-line code snippets demonstrating WMIC process creation calls with different payload paths. Text includes commands using placeholders like <target> and <payload_name>, showing variations for creating processes with network share and local temporary directory paths.

The first command executes the defense evasion blob, the second runs the payload from the infected host’s SMB share, and the third runs the pre-staged copy from the target’s local C:\Temp directory.

5.4: Scheduled tasks (user)

The malware creates three scheduled tasks under the target user’s context, each running two minutes after the time when they are created:

The scheduled task DefU is set to run the defense evasion blob, UpdateGU executes the payload from the infected host’s SMB share, and UpdateGU2runs the pre-staged copy from the target’s local C:\Temp directory.

5.5: Scheduled tasks (system)

The same three tasks are repeated, running under the SYSTEM account:

By attempting both user-context and SYSTEM-context task creation, the ransomware can improve its chance of propagation across environments with different permission boundaries.

5.6: Service-based execution

The malware executes the following command sequence to create three Windows services on the target host:

Screenshot of command line instructions for creating and starting Windows services using sc commands. Commands include creating DefSvc, UpdateSvc, and UpdateSvc2 services with specified binPaths and starting each service, with placeholders for target machine and payload names.

Similar to the scheduled tasks, the service DefSvc is set to run the defense evasion blob, UpdateSvc executes the payload from the infected host’s SMB share, and UpdateSvc2 runs the pre-staged copy from the target’s local C:\Temp directory. These services run as SYSTEM by default, which provides another high-privilege execution path for the ransomware payload on the remote system.

5.7: Payload deployment: PowerShell remoting

Using PowerShell remoting, the malware executes commands directly on the target using Invoke-Command:

Screenshot of PowerShell script code showing three Invoke-Command blocks targeting a remote computer. The script disables Windows Defender real-time monitoring, excludes a specified path and process, and starts a payload process from either a network share or local Temp directory, with placeholders for target, payload name, and forwarded arguments.

This method leverages Windows Remote Management (WinRM), providing an alternative execution channel when PsExec or WMIC are unavailable or blocked.

5.8: PowerShell WMI execution

Finally, the malware uses the PowerShell WMI class interface directly to create remote processes with the following command sequence.

Screenshot of PowerShell script code showing three commands creating new Win32_Process instances using WMI class.

This provides functionality equivalent to wmic.exe, but through a different execution path. As a result, it might succeed in environments where the WMIC binary is restricted but WMI access remains available.

Self-propagation summary

Across all techniques, the malware attempts 21 remote execution operations per target host, spanning multiple APIs, privilege levels, and execution contexts. Each method attempts to launch the payload from:

  • The infected host’s SMB share: \\<self>\share$\<payload_name>
  • The target host’s locally staged path: C:\Temp\<payload_name>

This redundancy is central to The Gentlemen’s propagation strategy. In secured environments where most lateral movement techniques are mitigated, a single successful execution on a single additional host is sufficient to continue the propagation.

Free space wipe

If the --wipe argument is provided, The Gentlemen ransomware performs an additional post-encryption routine to eliminate recoverable artifacts from disk.

The malware first enumerates all available volume paths on the system. For each volume, it creates a temporary file named wipefile.tmp at the root directory and determines the amount of available free space. It then writes random data to this file in 64 MB blocks until the volume is completely filled. Once the disk space has been exhausted, the temporary file is deleted.

This process effectively overwrites all unallocated disk space with random data, preventing forensic tools from recovering remnants of previously deleted files. This includes cached or temporary versions of original unencrypted data that might still reside on disk. When combined with earlier actions such as Volume Shadow Copy deletion, this behavior reduces the likelihood of data recovery without access to the threat actor’s decryption key.

Self-delete

If the --keep flag is not provided, the malware attempts to remove its executable from disk after completing encryption.

Since a running process cannot directly delete its own binary, the ransomware generates and executes a temporary batch script at <malware_path>.batwith the following contents:

Screenshot of a command prompt script showing commands to disable echo, ping localhost three times, and delete a malware file and its batch script using forced and quiet flags.

The batch script introduces a short delay by sending three Internet Control Message Protocol (ICMP) echo requests to the local host, pausing execution long enough for the main malware process to terminate. After this delay, the script deletes the original ransomware executable before removing itself. This mechanism helps reduce on-disk artifacts and hinders post-incident forensic analysis by eliminating the ransomware binary from the compromised system.

Defending against The Gentlemen ransomware

Microsoft recommends the following mitigations to reduce the impact of this threat.

  • Read the human-operated ransomware threat overview for advice on developing a holistic security posture to prevent ransomware, including credential hygiene and hardening recommendations. 
  • Turn on cloud-delivered protection in Microsoft Defender Antivirus or the equivalent for your antivirus product to cover rapidly evolving threat actor tools and techniques. Cloud-based machine learning protections block a huge majority of new and unknown variants. 
  • Turn on tamper protection features to prevent threat actors from stopping security services. In addition to tamper protection, you can also enable and configure Microsoft Defender Antivirus always-on protection in Group Policy
  • Enable controlled folder access. Controlled folder access helps protect your valuable data from malicious apps and threats, such as ransomware. Controlled folder access works by only allowing trusted apps to access protected folders. Protected folders are specified when controlled folder access is configured. Apps that aren’t included in the trusted apps list are prevented from making any changes to files inside protected folders. 
  • Run endpoint detection and response (EDR) in block mode so that Microsoft Defender for Endpoint can block malicious artifacts, even when your non-Microsoft antivirus does not detect the threat or when Microsoft Defender Antivirus is running in passive mode. EDR in block mode works behind the scenes to remediate malicious artifacts that are detected post-breach. 
  • Configure investigation and remediation in full automated mode to let Microsoft Defender for Endpoint take immediate action on alerts to resolve breaches, significantly reducing alert volume. 
  • Configure automatic attack disruption in Microsoft Defender XDR. Automatic attack disruption is designed to contain attacks in progress, limit the impact on an organization’s assets, and provide more time for security teams to remediate the attack fully. 
  • Microsoft Defender XDR customers can turn on attack surface reduction rules to prevent several of the infection vectors of this threat. These rules, which can be configured by any user, offer significant hardening against targeted attacks. In observed attacks, Microsoft customers who had the following rules turned on could mitigate the attack in the initial stages and prevent hands-on-keyboard activity:  

Microsoft Defender detections and hunting guidance

Microsoft Defender customers can refer to the list of applicable detections below. Microsoft Defender coordinates detection, prevention, investigation, and response across endpoints, identities, email, apps to provide integrated protection against attacks like the threat discussed in this blog.

Microsoft Defender Antivirus

Microsoft Defender Antivirus detects threat components as the following malware:

Microsoft Defender for Endpoint

The following alerts might indicate threat activity associated with this threat. These alerts, however, can be triggered by unrelated threat activity and are not monitored in the status cards provided with this report.

  • Ransomware-linked threat actor detected
  • Ransomware behavior detected in the file system
  • Possible ransomware activity
  • File backups were deleted
  • Potential human-operated malicious activity
  • Possible data exfiltration
  • Suspicious wallpaper change

The following alerts might indicate threat activity associated with The Gentlemen ransomware if Defender for Endpoint is set to block mode.

  • ‘Gentlemen’ ransomware was detected
  • ‘Gentlemen’ ransomware was prevented

Microsoft Defender for Cloud Apps

The following alert might indicate threat activity associated with this threat. This alert, however, can be triggered by unrelated threat activity and are not monitored in the status cards provided with this report.

  • Ransomware activity

Microsoft Security Copilot

Microsoft Security Copilot is embedded in Microsoft Defender and provides security teams with AI-powered capabilities to summarize incidents, analyze files and scripts, summarize identities, use guided responses, and generate device summaries, hunting queries, and incident reports.

Customers can also deploy AI agents, including the following Microsoft Security Copilot agents, to perform security tasks efficiently:

Security Copilot is also available as a standalone experience where customers can perform specific security-related tasks, such as incident investigation, user analysis, and vulnerability impact assessment. In addition, Security Copilot offers developer scenarios that allow customers to build, test, publish, and integrate AI agents and plugins to meet unique security needs.

Threat intelligence reports

Microsoft Defender XDR customers can use the following threat analytics reports in the Defender portal (requires license for at least one Defender XDR product) to get the most up-to-date information about the threat actor, malicious activity, and techniques discussed in this blog. These reports provide the intelligence, protection information, and recommended actions to prevent, mitigate, or respond to associated threats found in customer environments.

Microsoft Defender XDR threat analytics

Microsoft Security Copilot customers can also use the Microsoft Security Copilot integration in Microsoft Defender Threat Intelligence, either in the Security Copilot standalone portal or in the embedded experience in the Microsoft Defender portal to get more information about this threat actor.

Hunting queries

Microsoft Defender XDR

Microsoft Defender XDR customers can run the following advanced hunting queries to find related activity in their networks:

Known The Gentlemen ransomware files

Search for the file hashes associated with The Gentlemen ransomware activity identified in this report. 

let fileHashes = dynamic(["22b38dad7da097ea03aa28d0614164cd25fafeb1383dbc15047e34c8050f6f67"]);
union
(
   DeviceFileEvents
   | where SHA256 in (fileHashes)
   | project Timestamp, DeviceId, DeviceName, FileName, InitiatingProcessFileName, FileHash = SHA256, SourceTable = "DeviceFileEvents"
),
(
   DeviceEvents
   | where SHA256 in (fileHashes)
   | project Timestamp, DeviceId, DeviceName, FileName, InitiatingProcessFileName, FileHash = 
SHA256, SourceTable = "DeviceEvents"
),
(
   DeviceImageLoadEvents
   | where SHA256 in (fileHashes)
   | project Timestamp, DeviceId, DeviceName, FileName, InitiatingProcessFileName, FileHash = SHA256, SourceTable = "DeviceImageLoadEvents"
),
(
   DeviceProcessEvents
   | where SHA256 in (fileHashes)
   | project Timestamp, DeviceId, DeviceName, FileName, InitiatingProcessFileName, FileHash = SHA256, SourceTable = "DeviceProcessEvents"
)
| order by Timestamp desc

Microsoft Sentinel

Microsoft Sentinel customers can use the TI Mapping analytics (a series of analytics all prefixed with ‘TI map’) to automatically match the malicious domain indicators mentioned in this blog post with data in their workspace. If the TI Map analytics are not currently deployed, customers can install the Threat Intelligence solution from the Microsoft Sentinel Content Hub to have the analytics rule deployed in their Sentinel workspace.

Detect web sessions IP and file hash indicators of compromise using Advanced Security Information Model (ASIM)

The following query checks IP addresses, domains, and file hash IOCs across data sources supported by ASIM web session parser:

//IP list - _Im_WebSession
let lookback = 30d;
let ioc_ip_addr = dynamic([]);
let ioc_sha_hashes =dynamic(["22b38dad7da097ea03aa28d0614164cd25fafeb1383dbc15047e34c8050f6f67"]);
_Im_WebSession(starttime=todatetime(ago(lookback)), endtime=now())
| where DstIpAddr in (ioc_ip_addr) or FileSHA256 in (ioc_sha_hashes)
| summarize imWS_mintime=min(TimeGenerated), imWS_maxtime=max(TimeGenerated),
  EventCount=count() by SrcIpAddr, DstIpAddr, Url, Dvc, EventProduct, EventVendor

Detect files hashes indicators of compromise using ASIM

The following query checks IP addresses and file hash IOCs across data sources supported by ASIM file event parser:

// file hash list - imFileEvent
let ioc_sha_hashes = dynamic(["22b38dad7da097ea03aa28d0614164cd25fafeb1383dbc15047e34c8050f6f67"]);
imFileEvent
| where SrcFileSHA256 in (ioc_sha_hashes) or
TargetFileSHA256 in (ioc_sha_hashes)
| extend AccountName = tostring(split(User, @'')[1]), 
  AccountNTDomain = tostring(split(User, @'')[0])
| extend AlgorithmType = "SHA256"

Indicators of compromise

IndicatorTypeDescription
22b38dad7da097ea03aa28d0614164cd25fafeb1383dbc15047e34c8050f6f67SHA-256Gentlemen ransomware encryptor
078163d5c16f64caa5a14784323fd51451b8c831c73396b967b4e35e6879937bSHA-256PsExec binary
fe1033335a045c696c900d435119d210361966e2fb5cd1ba3382608cfa2c8e68SHA-256Gentlemen wallpaper Bitmap file

Acknowledgements

Learn more

For the latest security research from the Microsoft Threat Intelligence community, check out the Microsoft Threat Intelligence Blog.

To get notified about new publications and to join discussions on social media, follow us on LinkedIn, X (formerly Twitter), and Bluesky.

To hear stories and insights from the Microsoft Threat Intelligence community about the ever-evolving threat landscape, listen to the Microsoft Threat Intelligence podcast.

The post The Gentlemen ransomware: Dissecting a self-propagating Go encryptor appeared first on Microsoft Security Blog.

  •  

Exposing Fox Tempest: A malware-signing service operation

Fox Tempest is a financially motivated threat actor that operates a malware-signing-as-a-service (MSaaS)  used by other cybercriminals to more effectively distribute malicious code, including ransomware. The threat actor abuses Microsoft Artifact Signing to generate short-lived, fraudulent code-signing certificates to appear legitimately signed, allowing malware to evade security controls.

Fox Tempest has created over a thousand certificates and established hundreds of Azure tenants and subscriptions to support its operations. Microsoft has revoked over one thousand code signing certificates attributed to Fox Tempest. In May 2026, Microsoft’s Digital Crimes Unit (DCU), with support from industry partner Resecurity, disrupted Fox Tempest’s MSaaS offering, targeting the infrastructure and access model that enables its broader criminal use.

Microsoft Threat Intelligence observed Fox Tempest’s operations enabling the deployment of Rhysida ransomware by threat actors such as Vanilla Tempest, as well as the distribution of other malware families including Oyster, Lumma Stealer, and Vidar. The consistency, scale, and downstream impact of the resulting attack activity demonstrate that Fox Tempest is a vital operator within the broader cybercrime ecosystem.

In this blog, we examine how Fox Tempest’s MSaaS operation functioned and how it enabled the delivery of trusted, signed malware across the cybercrime ecosystem. We also provide Microsoft Defender detections, indicators of compromise (IOCs), and mitigation recommendations to help organizations identify and disrupt similar activity.

Fox Tempest’s role and impact

Fox Tempest doesn’t directly target victims but instead provides supporting services that enable ransomware operations by other threat actors. Microsoft Threat Intelligence has tracked Fox Tempest since September 2025. Microsoft Threat Intelligence has linked the actor to various ransomware groups including Vanilla Tempest, Storm-0501, Storm-2561, and Storm-0249, who have all leveraged Fox Tempest-signed malware in active intrusions. Malware delivery in these attacks have included use of legitimate purchased advertisements, malvertising, and SEO poisoning.

Storm-2561 SEO poisoning

Fake VPN clients steal credentials ›

Cryptocurrency analysis associated with Fox Tempest has identified clear links tying the actor to ransomware affiliates responsible for delivering several prominent ransomware families, including INC, Qilin, Akira, and others, with observed proceeds in the millions. Based on the scale of the MSaaS offering, Microsoft Threat Intelligence assesses that Fox Tempest is a well-resourced group handling infrastructure creation, customer relations, and financial transactions.

The downstream impact of these operations has resulted in attacks against a broad range of industry sectors, including healthcare, education, government, and financial services, impacting organizations globally including, but not limited to the United States, France, India, and China.

Fox Tempest’s malware signing as a service infrastructure

Fox Tempest’s MSaaS capability was available through the website signspace[.]cloud, a now defunct service that was disrupted by DCU, which enabled other threat actors to fraudulently obtain short-lived Microsoft-issued certificates that were valid for only 72 hours, obtained through Artifact Signing (previously named Azure Trusted Signing). This use of short-life certificates from a trusted source allowed malware and ransomware to masquerade as legitimate software (like AnyDesk, Teams, Putty, and Webex) to bypass security controls, significantly increasing the likelihood of execution and successful delivery. Fox Tempest offered this MSaaS capability to the ransomware ecosystem since at least May 2025.

To obtain legitimate signed certificates through Artifact Signing, the requestor must pass detailed identify validation processes in keeping with industry standard verifiable credentials (VC), which suggests the threat actor very likely used stolen identities based in the United States and Canada to masquerade as a legitimate entity and obtain the necessary digital credentials for signing. The SignSpace website was built on Artifact Signing and enabled secure file signing through an admin panel and user page, leveraging Azure subscriptions, certificates, and a structured database for managing users and files. A GitHub repository, called code‑signing‑service, included configuration files and technical details that directly linked it to the infrastructure behind signspace[.]cloud.

The signspace[.]cloud service has two unique modeling groupings: the admin and the customers. The admin is responsible for maintaining the tooling, account creation, and infrastructure, while the customers provide files to be fraudulently code signed. Customers who accessed the service could upload malicious files to be signed using Fox Tempest-controlled certificates.

Below are examples of the signspace[.]cloud portal as seen by Fox Tempest’s customers:

SignSpace sign-in portal with fields to input a username and password to login
Figure 1. Fox Tempest’s SignSpace sign-in portal
Code signing service upload page depicting a blue button to upload files, another blue button to sign the file, and an empty file history table
Figure 2. Fox Tempest’s SignSpace code signing service upload page

In February 2026, Microsoft Threat Intelligence observed a notable shift in Fox Tempest’s operational infrastructure. Fox Tempest transitioned to providing customers with pre-configured virtual machines (VMs) hosted on US-based virtual private server provider Cloudzy’s infrastructure, allowing threat actors to upload their malicious files directly to Fox Tempest‑controlled environments and receive signed binaries in return. This infrastructure evolution reduced friction for customers, improved operational security for Fox Tempest, and further streamlined the delivery of malicious but trusted, signed malware at scale. Microsoft’s Digital Crimes Unit (DCU) disrupted this infrastructure and continues to partner with Cloudzy to identify and disrupt related infrastructure.

Below is an example of the Fox Tempest-provided VM environment as seen by customers:

Screenshot of Remote Desktop Connection interface showing login prompt and security warning. Warning highlights unverified remote computer identity and certificate errors, with options to view certificate, connect anyway, or cancel connection.
Figure 3. Accessing VM provided by Fox Tempest

Inside the VM, Fox Tempest provided files that are used to sign code:

  • The first file, metadata.json, was a configuration file that pointed to an Azure‑hosted endpoint which also included the signing account and certificate profile.
  • The second file, test.js, is an example of a file provided by Fox Tempest that had been digitally signed to demonstrate their signing capabilities to customers.
  • The third file, PS code sample.txt, contains the PowerShell script they used to sign customer‑submitted files using certificates under Fox Tempest control.
Figure 4. Fox Tempest provided files
Screenshot of a digital certificate details window showing certificate purpose, issuer, and validity period. The certificate ensures software authenticity and protection against alteration, issued by Microsoft ID Verified CS EOC CA 01, valid from February 19 to February 22, 2026.
Figure 5. Fox Tempest provided certificate

Threat actors using Fox Tempest’s MSaaS offering paid thousands of dollars to get their malicious code signed, as shown below with the Google Form detailing the service’s pricing model. Actors filled out the form before being added to a queue to submit payment and gain access to a VM. The form (written in both English and Russian) asks the user to choose a selected plan from a price list of $5000 USD, $7500 USD, or $9000 USD, with a mention that higher paying plans receive priority in the queue sequence.

Screenshot of an online form for joining an EV Code Signing queue, featuring sections for selecting a pricing plan with three options ($8500, $7500, $9500), frequency of EV need, certificate validity duration, and forum account link. Form includes bilingual instructions in Russian and English, required fields marked with a red asterisk, and buttons for submitting or clearing the form.
Figure 6. Google form used by Fox Tempest
Screenshot of a subscription channel page promoting EV certificates for sale by SamCodeSign with 290 subscribers. Features a blue icon of a certificate with a key, a call-to-action button labeled "JOIN CHANNEL," and a message about certificate sale information and support contact.
Figure 7. Telegram used by Fox Tempest

Fox Tempest engaged directly with customers using a Telegram channel, EV Certs for Sale by SamCodeSign under the user account arbadakarba2000. All signing activity occurred using a Fox Tempest-provided email address associated with a very small number of IP addresses.

Case study: Fox Tempest enables Vanilla Tempest attacks

Vanilla Tempest began using Fox Tempest’s MSaaS service as early as June 2025. Through this service, Vanilla Tempest uploaded malicious payloads such as trojanized Microsoft Teams installers, which Fox Tempest would fraudulently signed to appear legitimate. Vanilla Tempest would then distribute these signed binaries through legitimately purchased advertisements that redirected users searching for Microsoft Teams to attacker‑controlled advertisements and fraudulent download pages.

Diagram illustrating a phishing attack flow involving fake Microsoft Teams installer downloads from fraudulent websites. Key components include labeled nodes for Fox Tempest and Vanila Tempest tools, user interaction steps, scheduled tasks, and deployment of a hybrid backdoor malware, with color-coded boxes highlighting different stages of the attack.
Figure 8. Vanilla Tempest and Fox Tempest attack chain

Victims were presented with a malicious MSTeamsSetup.exe in place of the legitimate client, reflecting a broader pattern of Vanilla Tempest frequently abusing trusted software brands to lure victims and establish initial access. Execution of the counterfeit installer resulted in the deployment of the Oyster backdoor (also known as Broomstick), a modular, multistage implant that establishes persistent remote access, initiates command‑and‑control (C2) communications, collects host‑level information, and enables the delivery of additional payloads. By masquerading as a widely deployed enterprise collaboration tool hiding behind a fraudulently signed binary, Vanilla Tempest’s Oyster payload was likely able to evade casual detection and blend into normal enterprise activity. In some observed cases, Vanilla Tempest also deployed Rhysida ransomware within victim environments using the same process.

Defending against Fox Tempest-enabled attacks

To defend against Fox Tempest tactics, techniques, and procedures (TTPs) and similar activity, Microsoft recommends the following mitigation measures:

Microsoft Defender detections

Microsoft Defender customers can refer to the list of applicable detections below. Microsoft Defender coordinates detection, prevention, investigation, and response across endpoints, identities, email, apps to provide integrated protection against attacks like the threat discussed in this blog.

Tactic Observed activity Microsoft Defender coverage 
PersistenceThreat actors distributed malware families including using Fox Tempest‑signed binariesMicrosoft Defender for Antivirus  
– Trojan:Win64/OysterLoader  
– Trojan:Win64/Oyster  
– Trojan:Win32/Malcert  
– Trojan:Win32/LummaStealer  
– Trojan:Win32/Vidar  
– Backdoor:Win32/Spyder  
– Trojan:Win32/Malgent  
– Trojan:Win64/Tedy  
– Trojan:Python/MuddyWater  
– Trojan:Win64/Fragtor  

Microsoft Defender for Endpoint
– Vanilla Tempest activity group
– User account created under suspicious circumstances
– New group added suspiciously
– New local admin added using Net commands – ‘LummaStealer’ malware was prevented
– ‘Malcert’ malware was prevented
– ‘Vidar’ malware was prevented  
ImpactAnalysis of Fox Tempest MSaaS identified links to the enablement of several ransomware familiesMicrosoft Defender for Antivirus
– Ransom:Win64/Rhysida
– Ransom:Win64/Inc
– Ransom:Win32/Qilin
– Ransom:Win32/BlackByte

Microsoft Defender for Endpoint
– Ransomware-linked threat actor detected
– ‘BlackByte’ ransomware was prevented
– ‘INC’ ransomware was prevented
– ‘Qilin’ ransomware was prevented
– ‘Rhysida’ ransomware was prevented
– A file or network connection related to a ransomware-linked emerging threat activity group detected  

Microsoft Security Copilot

Microsoft Security Copilot is embedded in Microsoft Defender and provides security teams with AI-powered capabilities to summarize incidents, analyze files and scripts, summarize identities, use guided responses, and generate device summaries, hunting queries, and incident reports.

Customers can also deploy AI agents, including the following Microsoft Security Copilot agents, to perform security tasks efficiently:

Security Copilot is also available as a standalone experience where customers can perform specific security-related tasks, such as incident investigation, user analysis, and vulnerability impact assessment. In addition, Security Copilot offers developer scenarios that allow customers to build, test, publish, and integrate AI agents and plugins to meet unique security needs.

Threat intelligence reports

Microsoft Defender XDR customers can use the following threat analytics reports in the Defender portal (requires license for at least one Defender XDR product) to get the most up-to-date information about the threat actor, malicious activity, and techniques discussed in this blog. These reports provide the intelligence, protection information, and recommended actions to prevent, mitigate, or respond to associated threats found in customer environments.

Microsoft Defender XDR threat analytics

Microsoft Security Copilot customers can also use the Microsoft Security Copilot integration in Microsoft Defender Threat Intelligence, either in the Security Copilot standalone portal or in the embedded experience in the Microsoft Defender portal to get more information about this threat actor.

Indicators of compromise

IndicatorTypeDescriptionFirst seenLast seen
signspace[.]cloudDomainAttacker-controlled domain hosting MSaaS2025-05-292026-05-05
dc0acb01e3086ea8a9cb144a5f97810d291020ceSignerSha-1Certificate2026-03-182026-05-11
7e6d9dac619c04ae1b3c8c0906123e752ed66d63SignerSha-1Certificate2026-03-212026-05-11
f0668ce925f36ff7f3359b0ea47e3fa243af13cd6ad9661dfccc9ff79fb4f1ccSHA-256File hash2026-03-192026-05-04
11af4566539ad3224e968194c7a9ad7b596460d8f6e423fc62d1ea5fc0724326SHA-256File hash2026-03-212026-05-07
f0a6b89ec7eee83274cd484cea526b970a3ef28038799b0a5774bb33c5793b55SHA-256File hash2026-03-122026-04-19

Learn more

For the latest security research from the Microsoft Threat Intelligence community, check out the Microsoft Threat Intelligence Blog.

To get notified about new publications and to join discussions on social media, follow us on LinkedIn, X (formerly Twitter), and Bluesky. To hear stories and insights from the Microsoft Threat Intelligence community about the ever-evolving threat landscape, listen to the Microsoft Threat Intelligence podcast.

The post Exposing Fox Tempest: A malware-signing service operation appeared first on Microsoft Security Blog.

  •  

IT threat evolution in Q1 2026. Non-mobile statistics

IT threat evolution in Q1 2026. Non-mobile statistics
IT threat evolution in Q1 2026. Mobile statistics

The statistics in this report are based on detection verdicts returned by Kaspersky products unless otherwise stated. The information was provided by Kaspersky users who consented to sharing statistical data.

Quarterly figures

In Q1 2026:

  • Kaspersky products blocked more than 343 million attacks that originated with various online resources.
  • Web Anti-Virus responded to 50 million unique links.
  • File Anti-Virus blocked nearly 15 million malicious and potentially unwanted objects.
  • 2938 new ransomware variants were detected.
  • More than 77,000 users experienced ransomware attacks.
  • 14% of all ransomware victims whose data was published on threat actors’ data leak sites (DLS) were victims of Clop.
  • More than 260,000 users were targeted by miners.

Ransomware

Quarterly trends and highlights

Law enforcement success

In January 2026, it was reported that the FBI had seized the domains of the RAMP cybercrime forum, a major platform used extensively by ransomware developers to advertise their RaaS programs and to recruit affiliates. There has been no official statement from the FBI, nor is it clear if RAMP servers were seized. In a post on an external website, a RAMP moderator mentioned law enforcement agencies gaining control over the forum. The takedown disrupted a key element of the RaaS ecosystem, creating ripple effects for ransomware operators, affiliates, and initial access brokers.

A man suspected of links to the Phobos group was apprehended in Poland. He was charged with the creation, acquisition, and distribution of software designed for unlawfully obtaining information, including data that facilitates unauthorized access to information stored within a computer system.

In March, a Phobos ransomware administrator pleaded guilty to the creation and distribution of the Trojan, which had been used in international attacks dating back to at least November 2020.

In March, the U.S. Department of Justice charged a man who had acted as a negotiator for ransomware groups. The company he worked for specializes in cyberincident investigations. The prosecution alleges the suspect colluded with the BlackCat threat actor to share privileged insights into the ongoing progress of negotiations. Additionally, the suspect is alleged to have had a prior direct role in BlackCat attacks, serving as an affiliate for the RaaS operation.

In a separate development this March, a U.S. court sentenced an initial access broker associated with the Yanluowang ransomware group to 81 months of imprisonment. According to the U.S. Department of Justice, the convict facilitated dozens of ransomware attacks across the United States, resulting in over $9 million in actual loss and more than $24 million in intended loss.

Vulnerabilities and attacks

The Interlock group has been heavily exploiting the CVE-2026-20131 zero-day vulnerability in Cisco Secure FMC firewall management software since at least January 26, 2026. The vulnerability enabled arbitrary Java code execution with root privileges on the affected device. This campaign demonstrates the ongoing reliance on zero-day vulnerabilities for initial access, a focus on network appliances as high-value entry points, and the rapid weaponization of new vulnerabilities within the ransomware ecosystem.

The most prolific groups

This section highlights the most prolific ransomware gangs by number of victims added to each group’s DLS. This quarter, the Clop ransomware (14.42%) returned to the top of the rankings, displacing Qilin (12.34%), which had held the leading position in the previous reporting period. Following closely is a new threat actor, The Gentlemen (9.25%). Emerging no later than July 2025, the group had already surpassed the activity levels of mainstays such as Akira (7.25%) and INC Ransom (6.13%).

Number of each group’s victims according to its DLS as a percentage of all groups’ victims published on all the DLSs under review during the reporting period (download)

Number of new variants

In Q1 2026, Kaspersky solutions detected six new ransomware families and 2938 new modifications. Volumes have returned to Q3 2025 levels following a surge in Q4 2025.

Number of new ransomware modifications, Q1 2025 — Q1 2026 (download)

Number of users attacked by ransomware Trojans

Throughout Q1, our solutions protected 77,319 unique users from ransomware. Ransomware activity was highest in March, with 35,056 unique users encountering such attacks during the month.

Number of unique users attacked by ransomware Trojans, Q1 2026 (download)

Attack geography

TOP 10 countries and territories attacked by ransomware Trojans

Country/territory* %**
1 Pakistan 0.79
2 South Korea 0.64
3 China 0.52
4 Tajikistan 0.40
5 Libya 0.38
6 Turkmenistan 0.36
7 Iraq 0.35
8 Bangladesh 0.33
9 Rwanda 0.30
10 Cameroon 0.28

* Excluded are countries and territories with relatively few (under 50,000) Kaspersky users.
** Unique users whose computers were attacked by ransomware Trojans as a percentage of all unique users of Kaspersky products in the country/territory.

TOP 10 most common families of ransomware Trojans

Name Verdict %*
1 (generic verdict) Trojan-Ransom.Win32.Gen 33.90
2 (generic verdict) Trojan-Ransom.Win32.Crypren 6.38
3 WannaCry Trojan-Ransom.Win32.Wanna 5.87
4 (generic verdict) Trojan-Ransom.Win32.Encoder 4.68
5 (generic verdict) Trojan-Ransom.Win32.Agent 3.80
6 LockBit Trojan-Ransom.Win32.Lockbit 2.80
7 (generic verdict) Trojan-Ransom.Win32.Phny 1.99
8 (generic verdict) Trojan-Ransom.MSIL.Agent 1.96
9 (generic verdict) Trojan-Ransom.Python.Agent 1.93
10 (generic verdict) Trojan-Ransom.Win32.Crypmod 1.89

* Unique Kaspersky users attacked by the specific ransomware Trojan family as a percentage of all unique users attacked by this type of threat.

Miners

Number of new variants

In Q1 2026, Kaspersky solutions detected 3485 new modifications of miners.

Number of new miner modifications, Q1 2026 (download)

Number of users attacked by miners

In Q1, we detected attacks using miner programs on the computers of 260,588 unique Kaspersky users worldwide.

Number of unique users attacked by miners, Q1 2026 (download)

Attack geography

TOP 10 countries and territories attacked by miners

Country/territory* %**
1 Senegal 3.19
2 Turkmenistan 3.06
3 Mali 2.63
4 Tanzania 1.62
5 Bangladesh 1.06
6 Ethiopia 0.95
7 Panama 0.88
8 Afghanistan 0.79
9 Kazakhstan 0.77
10 Bolivia 0.75

* Excluded are countries and territories with relatively few (under 50,000) Kaspersky users.
** Unique users whose computers were attacked by miners as a percentage of all unique users of Kaspersky products in the country/territory.

Attacks on macOS

In Q1 2026, Google uncovered a new cryptocurrency theft campaign. The scammers directed victims to a fraudulent video call, prompting them to execute malicious scripts under the guise of technical support fixes for connection problems.

In March, researchers with GTIG and iVerify reported the discovery of an in-the-wild exploit chain targeting both iOS and macOS devices. The exploit kit was apparently marketed on the dark web, providing threat actors with a suite of spyware capabilities alongside specialized cryptocurrency exfiltration modules. The exploit was delivered via drive-by downloads when victims visited various compromised websites. Our analysis confirmed that the toolkit included an updated version of a component previously identified in the Operation Triangulation attack chain.

Devices running macOS were similarly impacted by the high-profile supply chain attack targeting the Axios npm package, a widely used HTTP client for JavaScript. The installation of the infected package led to the deployment of a backdoor on macOS devices.

TOP 20 threats to macOS

Unique users* who encountered this malware as a percentage of all attacked users of Kaspersky security solutions for macOS (download)

* Data for the previous quarter may differ slightly from previously published data due to some verdicts being retrospectively revised.

The share of PasivRobber spyware attacks is beginning to decline, giving way to more traditional adware and Monitor-class software capable of tracking user activity. The popular Amos stealer also maintains its presence within the TOP 20.

Geography of threats to macOS

TOP 10 countries and territories by share of attacked users

Country/territory %* Q4 2025 %* Q1 2026
China 1.28 1.97
France 1.18 1.07
Brazil 1.13 0.98
Mexico 0.72 0.52
Germany 0.71 0.45
The Netherlands 0.62 0.75
Hong Kong 0.49 0.53
India 0.42 0.48
Russian Federation 0.34 0.37
Thailand 0.24 0.27

* Unique users who encountered threats to macOS as a percentage of all unique Kaspersky users in the country/territory.

IoT threat statistics

This section presents statistics on attacks targeting Kaspersky IoT honeypots. The geographic data on attack sources is based on the IP addresses of attacking devices.

In Q1 2026, the share of devices attacking Kaspersky honeypots via the SSH protocol saw a significant increase compared to the previous reporting period.

Distribution of attacked services by number of unique IP addresses of attacking devices (download)

The distribution of attacks between Telnet and SSH maintained the ratio observed in Q4 2025.

Distribution of attackers’ sessions in Kaspersky honeypots (download)

TOP 10 threats delivered to IoT devices

Share of each threat delivered to an infected device as a result of a successful attack, out of the total number of threats delivered (download)

The primary shifts in the IoT threat distribution are linked to the activity of various Mirai botnet variants, although members of this family continue to account for the majority of the list. Furthermore, a new variant, Mirai.kl, surfaced in the rankings. We also observed a significant decline in NyaDrop botnet activity during Q1.

Attacks on IoT honeypots

The United States, the Netherlands, and Germany accounted for the highest proportions of SSH-based attacks during this period.

Country/territory Q4 2025 Q1 2026
United States 16.10% 23.74%
The Netherlands 15.78% 17.57%
Germany 12.07% 10.34%
Panama 7.72% 6.34%
India 5.32% 6.05%
Romania 4.05% 5.82%
Australia 1.62% 4.61%
Vietnam 4.21% 3.50%
Russian Federation 3.79% 2.35%
Sweden 2.25% 2.09%

China continues to account for the largest proportion of Telnet attacks, though there was a marked increase in activity originating from Pakistan.

Country/territory Q4 2025 Q1 2026
China 53.64% 39.54%
Pakistan 14.27% 27.31%
Russian Federation 8.20% 8.25%
Indonesia 8.58% 6.71%
India 4.85% 4.66%
Brazil 0.06% 3.30%
Argentina 0.02% 2.51%
Nigeria 1.22% 1.38%
Thailand 0.01% 0.55%
Sweden 0.54% 0.55%

Attacks via web resources

The statistics in this section are based on detection verdicts by Web Anti-Virus, which protects users when suspicious objects are downloaded from malicious or infected web pages. These malicious pages are purposefully created by cybercriminals. Websites that host user-generated content, such as message boards, as well as compromised legitimate sites, can become infected.

TOP 10 countries and territories that served as sources of web-based attacks

The following statistics show the distribution by country/territory of the sources of internet attacks blocked by Kaspersky products on user computers (web pages redirecting to exploits, sites containing exploits and other malicious programs, botnet C&C centers, and so on). One or more web-based attacks could originate from each unique host.

To determine the geographic source of web attacks, we matched the domain name with the real IP address where the domain is hosted, then identified the geographic location of that IP address (GeoIP).

In Q1 2026, Kaspersky solutions blocked 343,823,407 attacks launched from internet resources worldwide. Web Anti-Virus was triggered by 49,983,611 unique URLs.

Web-based attacks by country/territory, Q1 2026 (download)

Countries and territories where users faced the greatest risk of online infection

To assess the risk of malware infection via the internet for users’ computers in different countries and territories, we calculated the share of Kaspersky users in each location on whose computers Web Anti-Virus was triggered during the reporting period. The resulting data provides an indication of the aggressiveness of the environment in which computers operate in different countries and territories.

This ranked list includes only attacks by malicious objects classified as Malware. Our calculations leave out Web Anti-Virus detections of potentially dangerous or unwanted programs, such as RiskTool or adware.

Country/territory* %**
1 Venezuela 9.33
2 Hungary 8.16
3 Italy 7.58
4 Tajikistan 7.48
5 India 7.21
6 Greece 7.13
7 Portugal 7.10
8 France 7.05
9 Belgium 6.83
10 Slovakia 6.80
11 Vietnam 6.62
12 Bosnia and Herzegovina 6.57
13 Canada 6.56
14 Serbia 6.50
15 Tunisia 6.36
16 Qatar 6.01
17 Spain 5.95
18 Germany 5.95
19 Sri Lanka 5.89
20 Brazil 5.88

* Excluded are countries and territories with relatively few (under 10,000) Kaspersky users.
** Unique users targeted by web-based Malware attacks as a percentage of all unique users of Kaspersky products in the country/territory.

On average during the quarter, 4.73% of users’ computers worldwide were subjected to at least one Malware web attack.

Local threats

Statistics on local infections of user computers are an important indicator. They include objects that penetrated the target computer by infecting files or removable media, or initially made their way onto the computer in non-open form. Examples of the latter are programs in complex installers and encrypted files.

Data in this section is based on analyzing statistics produced by anti-virus scans of files on the hard drive at the moment they were created or accessed, and the results of scanning removable storage media. The statistics are based on detection verdicts from the On-Access Scan (OAS) and On-Demand Scan (ODS) modules of File Anti-Virus and include detections of malicious programs located on user computers or removable media connected to the computers, such as flash drives, camera memory cards, phones, or external hard drives.

In Q1 2026, our File Anti-Virus detected 15,831,319 malicious and potentially unwanted objects.

Countries and territories where users faced the highest risk of local infection

For each country and territory, we calculated the percentage of Kaspersky users whose computers had the File Anti-Virus triggered at least once during the reporting period. This statistic reflects the level of personal computer infection in different countries and territories around the world.

Note that this ranked list includes only attacks by malicious objects classified as Malware. Our calculations leave out File Anti-Virus detections of potentially dangerous or unwanted programs, such as RiskTool or adware.

Country/territory* %**
1 Turkmenistan 47.96
2 Tajikistan 31.48
3 Cuba 31.03
4 Yemen 29.59
5 Afghanistan 28.47
6 Burundi 26.93
7 Uzbekistan 24.81
8 Syria 23.08
9 Nicaragua 21.97
10 Cameroon 21.60
11 China 21.09
12 Mozambique 21.02
13 Algeria 20.64
14 Democratic Republic of the Congo 20.63
15 Bangladesh 20.44
16 Mali 20.35
17 Republic of the Congo 20.23
18 Madagascar 20.00
19 Belarus 19.78
20 Tanzania 19.52

* Excluded are countries and territories with relatively few (under 10,000) Kaspersky users.
** Unique users on whose computers local Malware threats were blocked, as a percentage of all unique users of Kaspersky products in the country/territory.

On average worldwide, Malware local threats were detected at least once on 11.55% of users’ computers during Q1.

Russia scored 11.92% in these rankings.

  •  

State of ransomware in 2026

With International Anti-Ransomware Day taking place on May 12, Kaspersky presents its annual report on the evolving global and regional ransomware cyberthreat landscape.

Ransomware remains one of the most persistent and adaptive cyberthreats. In 2026:

  • New families continue to emerge, adopting post-quantum cryptography ciphers.
  • As ransom payments drop, some groups implement encryptionless extortion attacks.
  • In a constantly changing ecosystem of threat actors, initial access brokers maintain a relevant role in this market, showing increased focus on access to RDWeb as the preferred method of remote access.

Ransomware attacks decline but remain a major threat

According to Kaspersky Security Network, the share of organizations affected by ransomware decreased in 2025 across all regions compared to 2024.

Percentage of organizations affected by ransomware attacks by region, 2025 (download)

Despite the formal decrease, organizations across all sectors continue to face a high likelihood of attack, as ransomware operators refine their tactics and scale their operations with increasing efficiency. Kaspersky and VDC Research have found that in the manufacturing sector alone, ransomware attacks may have caused over $18 billion in losses in the first three quarters of the year.

The continued rise of EDR killers and defense evasion tooling

In 2026, ransomware operators increasingly prioritize neutralizing endpoint defenses before executing their payloads. Tools commonly referred to as “EDR killers” have become a standard component of attack playbooks. This reflects a continuing trend toward more deliberate and methodical intrusions.

Attackers attempt to terminate security processes and disable monitoring agents, often by exploiting trusted components such as signed drivers. This technique is called Bring Your Own Vulnerable Driver (BYOVD) and allows adversaries to blend into legitimate system activity while gradually degrading defensive visibility.

Thus, evasion is no longer an opportunistic step but a planned and repeatable phase of the attack lifecycle. As a result, organizations are increasingly challenged not just to detect ransomware but also to maintain control in environments where security controls themselves are actively targeted.

The appearance of new families adopting post-quantum cryptography

We predicted that quantum-resistant ransomware would appear in 2025. Looking back at the previous year, we see that advanced ransomware groups indeed started using post-quantum cryptography as quantum computing evolved. The encryption techniques used by this quantum-proof ransomware could be used to resist decryption attempts from both classical and quantum computers, making it nearly impossible for victims to decrypt their data without having to pay a ransom.

One example is the appearance of the PE32 ransomware family (link in Russian); it leverages the cutting-edge ML-KEM (Module-Lattice-Based Key-Encapsulation Mechanism) standard to secure its AES keys. This specific cryptographic framework was recently selected by NIST as the primary standard for post-quantum defense.

Within the PE32 ransomware architecture, this is realized through the Kyber1024 algorithm, a robust mechanism providing Level 5 security, roughly equivalent in strength to AES-256. Its primary function is the secure generation and transmission of shared secrets between parties, specifically engineered to withstand future quantum computing attacks. This shift toward post-quantum readiness is part of a broader industry trend; for instance, TLS 1.3 and QUIC protocols have already adopted the X25519Kyber768 hybrid model, which fuses classical encryption with quantum-resistant security.

The shift to encryptionless extortion

In 2025, the share of ransoms paid dropped to 28%. As a response to this, one of the developments in the 2026 landscape is the growing prevalence of extortion incidents in which no file encryption takes place at all. Instead, attackers leave out the “ware” in “ransomware” and focus on extracting sensitive data and leveraging the threat of public disclosure as their primary means of extortion. ShinyHunters is an excellent example of such a group, using a data leak site to publicize its victims.

By avoiding encryption, attackers may aim at reducing the likelihood of immediate detection, shortening the duration of the attack, and eliminating dependencies on stable encryption routines. Often, this model is used alongside traditional tactics in so-called double extortion schemes, but an increasing number of campaigns rely exclusively on data theft.

For victims, this shift fundamentally changes the nature of the risk. While backups remain effective against encryption-based disruption, they provide no protection against data exposure, regulatory consequences, and reputational damage. Ransomware is therefore evolving from a business continuity issue into a broader data security and compliance challenge.

Industrialization of initial access (Access-as-a-Service)

The ransomware ecosystem continues to evolve toward a highly industrialized and specialized model, with initial access remaining as one of its most critical components. In 2026, many ransomware operators keep relying on IABs (initial access brokers), a network of intermediaries who supply pre-compromised access to corporate environments, aiming to no longer perform full intrusions themselves.

This “access-as-a-service” model is fueled by credential theft operations, and the widespread availability of compromised accounts harvested through infostealers and phishing campaigns.

The primary access vectors offered for sale have not changed: RDP, VPN, and RDWeb are still the top access vectors. Consequently, remote access infrastructure remains the primary attack surface for initial access sales. In response to the measures against public exposure of RDP access points to the internet, attackers are now targeting RDWeb portals, which are frequently vulnerable and occasionally inadequately safeguarded.

The result is a threat landscape where unauthorized access is increasingly commoditized, and the barrier to launching ransomware attacks declines. This means that preventing initial compromise is only part of the challenge; equal emphasis must be placed on detecting misuse of legitimate credentials and limiting lateral movement within already-breached environments.

Ransomware developments on the dark web

Telegram channels and underground forums increasingly function as platforms for the distribution and sale of compromised datasets and access credentials including those that were obtained as a result of ransomware attacks.

Advertisements posted on these resources typically include the nature of the access, a description of the exfiltrated or compromised data, price terms, and contact information for prospective buyers. In addition, some malicious actors mention their collaboration with other ransomware groups. Lesser-known gangs can use this name-dropping to promote themselves

Multiple threat actors not related to ransomware groups distribute datasets downloaded from ransomware blogs on underground forums and Telegram. By re-publishing download links and files, they spread compromised data as well as information on the ransomware attack within the community.

The ransomware itself is also sold or offered for subscription on the dark web platforms. The sellers underscore the uniqueness of their malware, as well as its encryption and defense evasion features.

Law enforcement actions

Law enforcement agencies are actively shutting down dark web platforms and ransomware data leak sites. A major underground forum, RAMP, which also functioned as a platform for threat actors to advertise their ransomware services and publish service‑related updates, was seized by authorities in January 2026. Another underground forum, LeakBase, where malicious actors distributed exfiltrated and compromised data, was seized in March 2026. In 2025, law enforcement agencies seized well-known forums like Nulled, Cracked, and XSS. Also in 2025, the DLSs of BlackSuit and 8Base ransomware groups were seized. These takedowns cause inconvenience to ransomware coordination, specifically for initial access brokers and affiliates, though similar forums are expected to fill the void over time.

Top ransomware groups in 2025

RansomHub’s sudden dormancy in 2025 marked a shift, and Qilin became the dominant player from Q2 onward. According to Kaspersky research, Qilin was the most active group executing targeted attacks in 2025.

Each group’s share of victims according to its data leak site (DLS) as a percentage of all reported victims of all groups during the period under review (download)

Qilin stands out as one of the fastest-growig and dominant RaaS platforms. Its combination of high-volume operations and structured affiliate model positions it as a central player in the current ecosystem.

Clop, the second most active group in 2025, is distinguished through its large-scale, supply-chain-style attacks, exploiting widely used file transfer and enterprise software to compromise hundreds of victims simultaneously. This one-to-many approach sets it apart from more traditional, single-target campaigns.

Third place is occupied by Akira, which remains notable for its consistency and operational stability, maintaining a steady stream of victims without major disruption. Its ability to sustain activity over time makes it one of the most reliable indicators of baseline ransomware threat levels.

Although no longer active, RansomHub stands out for its rapid rise and equally rapid disappearance in 2025, highlighting the volatility of the RaaS market. Its shutdown created a vacuum that significantly reshaped affiliate distribution across other groups.

DragonForce is also notable – not just for its own operations, but for its broader influence within the ransomware ecosystem, including reported involvement in infrastructure conflicts and possible links to the disruption of competing groups. Thus, the group claims that RansomHub “has moved to their infrastructure.” This positions it as more than just an operator and potentially an ecosystem-level actor.

New actors in 2026

While emerging actors generally operate on a smaller scale, they provide insight into the continuous churn and low barrier to entry within the ransomware ecosystem.

The Gentlemen group caught our attention in early 2026, as they managed to attack a significant number of victims over a short time. This actor is also notable for reflecting a broader shift toward professionalization and controlled operations within the ransomware ecosystem. Unlike many emerging groups that rely on opportunistic attacks and inconsistent leak activity, The Gentlemen demonstrate a more deliberate approach: structured intrusion workflows, selective targeting, and measured communication with victims. This signals a move away from chaotic, high-noise campaigns toward predictable, business-like execution models that are easier to scale and harder to disrupt. Their TTPs include the massive exploitation of hardware very common on big corporations, such as FortiOS/FortiProxy, SonicWall VPN, and Cisco ASA appliances. The group might be comprised of professional cybercriminals who left other prominent groups.

The group is also notable for its emphasis on data-centric extortion strategies, often prioritizing exfiltration and leverage over purely disruptive encryption. This aligns with one of the defining trends of 2026: ransomware evolving into a form of data breach monetization rather than just system denial. By focusing on controlled pressure and reputational risk instead of immediate operational damage, The Gentlemen exemplify how attackers are adapting to lower ransom payment rates and improved backup practices among victims.
Some other groups to take note of in 2026:

  • Devman appears to be an emerging actor with limited but growing activity, likely leveraging existing tooling rather than developing custom capabilities.
  • MintEye hasn’t been very active yet, with just five known victims, suggesting opportunistic campaigns without a consistent operational tempo.
  • DireWolf is associated with small-scale, targeted attacks, though its overall footprint remains relatively limited compared to larger RaaS groups.
  • NightSpire demonstrates characteristics of an amateur group, such as mistakes during its operations, uncommon communication channels with the victims, and sometimes giving them insufficient time to pay up. Although they both encrypt and leak data, they prioritize publication rather than encryption.
  • Vect shows low-volume activity. It is yet unclear whether they use a completely new codebase or are rather a rebrand of an existing group.
  • Tengu is a less prominent actor, with limited public reporting and no clear distinguishing tactics beyond standard extortion models.
  • Kazu appears to be created by ransomware operators previously engaged with multiple other groups. As of now, they don’t stand out for scale or technique.

Although there is little to say about these groups at the time of writing this report, each of them may be equally likely to disappear from the threat landscape or grow into a prominent threat. That’s why it’s important to track them from their early days. Moreover, collectively, these groups illustrate how dynamic the ransomware landscape is, with new entrants constantly replenishing it.

Conclusion and protection recommendations

Despite the growing effort by law enforcement agencies across the globe to seize and disrupt dark web platforms and threat actor infrastructures, ransomware operations remain stable, with new groups quickly taking the place of those who went silent. In 2026, we see a shift towards encryptionless extortion, with data leaks increasingly becoming the main threat to target organizations. At the same time, data encryption is also upgrading to the next level with the emergence of post-quantum ransomware.

To resist the evolving threat, Kaspersky recommends organizations:

Prioritize proactive prevention through patching and vulnerability management. Many ransomware attacks exploit unpatched systems, so organizations should implement automated patch management tools to ensure timely updates for operating systems, software, and drivers. For Windows environments, enabling Microsoft’s Vulnerable Driver Blocklist is critical to thwarting BYOVD attacks. Regularly scan for vulnerabilities and prioritize high-severity flaws, especially in widely used software.

Strengthen remote access: RDP and RDWeb connections should never be directly exposed to the internet, only through VPN or ZTNA (Zero Trust Network Access). It’s highly recommended to adopt multi-factor authentication on everything; the architecture may require continuous authentication for access, as one valid credential captured is enough to cause a breach. Monitoring the underground for stolen employee credentials is essential. Audit open ports across the entire attack surface. The adoption of the “Principle of Least Privilege” (PoLP), where users, systems, or processes are granted only the minimum access rights, such as read, write, or execute permissions, necessary to perform their specific job functions, is highly recommended.

Strengthen endpoint and network security with advanced detection and segmentation. Deploy robust endpoint detection and response solutions such as Kaspersky NEXT EDR to monitor for suspicious activity like driver loading or process termination. Network segmentation is equally important. Limit lateral movement by isolating critical systems and using firewalls to restrict traffic. Complete and immediate offboarding for employees is necessary as well as periodic permission reviews, with automatic revocation of unused access. Sessions with complete logging for privileged accounts are more than necessary. Monitoring the traffic divergence to new sites or even to legitimate endpoints can help the defenders to spot a new insider threat.

Invest in backups, training, and incident response planning. Maintain offline or immutable backups that are tested regularly to ensure rapid recovery without paying a ransom. Backups should cover critical data and systems and be stored in air-gapped environments to resist encryption or deletion. User education is essential to combatting phishing, which remains one of the top attack vectors. Conduct simulated phishing exercises and train employees to recognize AI-crafted emails. Kaspersky Global Emergency Response Team (GERT) can help develop and test an incident response plan to minimize potential downtime and costs.

The recommendation to avoid paying a ransom remains robust, especially given the risk of unavailable keys due to dismantled infrastructure, affiliate chaos, or malicious intent. By investing in backups, incident response, and preventive measures like patching and training, organizations can avoid funding criminals and mitigate the impact.

Kaspersky also offers free decryptors for certain ransomware families. If you get hit by ransomware, check to see if there’s a decryptor available for the ransomware family used against you.

  •  

Thus Spoke…The Gentlemen

Key Points

  • On May 4th, 2026, The Gentlemen RaaS administrator acknowledged on underground forums that an internal backend database (Rocket) had been leaked. This leak exposed 9 accounts, including zeta88 (aka hastalamuerte), who runs the infrastructure, builds the locker and RaaS panel, manages payouts, and effectively acts as the administrator of the program.
  • The internal discussions provide a rare end‑to‑end view of the operation: they detail initial access paths (Fortinet and Cisco edge appliances, NTLM relay, OWA/M365 credential logs), the division of roles, the shared toolsets, and the group’s active tracking and evaluation of modern CVEs such as CVE-2024-55591, CVE-2025-32433, and CVE-2025-33073.
  • Screenshots from ransom negotiations were also leaked, showing a successful case where the group received 190,000 USD, after starting with an initial demand (anchor) of 250,000 USD.
  • Further chats indicate that stolen data from a UK software consultancy was later reused to attack a company in Turkey. The Gentlemen used this during negotiations as a dual‑pressure tactic: they portrayed the UK firm as the “access broker,” while mentioning to provide “proof” to the Turkish company that the intrusion originated from the UK side and encouraging it to consider legal action against the consultancy.
  • By collecting all available ransomware samples, Check Point Research identified 8 distinct affiliate TOX IDs, including the administrator’s TOX ID. This suggests that the admin not only manages the RaaS program but also actively participates in, or directly carries out, some of the infections.


Introduction

The Gentlemen ransomware‑as‑a‑service (RaaS) operation is a relatively new group that emerged around mid‑2025. Its operators advertise the service across multiple underground forums, promoting their ransomware platform and inviting penetration testers and other technically skilled actors to join as affiliates.

In 2026, based on victims listed on the data leak site (DLS), The Gentlemen appears to be one of the most active RaaS programs, with approximately 332 published victims in just the first five months of 2026. This volume places the group as the second most productive RaaS operation in that period, at least among those that publicly list their victims.

During our previous publication, Check Point Research analyzed a specific infection carried out by an affiliate of this RaaS. In that case, the affiliate used SystemBC, and the associated command‑and‑control (C&C) server revealed more than 1,570 victims.

In this publication, we focus on the affiliate program itself and the actors who participate in it. On May 4th, 2026, The Gentlemen administrator acknowledged the leak of an internal database used by the group, which contained operational information about their infrastructure, affiliates, and victims. Check Point Research obtained what appears to be a partial leak of the group’s internal chats and related data, which was briefly posted on an underground forum before being removed. Later on, the leak also appeared on another underground forum.

The leaked material includes detailed conversations between the RaaS operators and their affiliates across several internal channels (such as INFO, general, TOOLS, and PODBOR). In these chats, they coordinate ongoing intrusions, exchange toolsets and EDR‑kill packages, discuss infrastructure and backend components (including the Rocket database and NAS storage), review CVEs and exploit paths (for example Fortinet, Cisco, and NTLM relay issues), and talk about specific victims, campaigns, and payouts. Together, these messages provide a rare inside view of how The Gentlemen plans, executes, and scales its ransomware operations.


The Gentlemen RaaS Admin

The Gentlemen RaaS administrator has been very active and vocal on various underground forums, trying to attract affiliates with an aggressive profit-sharing model: 90% for affiliates and 10% for the operator.

In September 2025, in one of the first posts promoting the RaaS program, the account Zeta88 published a message advertising the service and inviting individual penetration testers to join as affiliates.

Figure 1 — Zeta88 advertising The Gentlemen’s RaaS.

Later on, the official posts for this ransomware program started to be published by another account, The Gentlemen. The administrator also shared their TOX ID across several forums.

Figure 2 — RaaS admin in underground forum.

The same TOX ID can be seen on the onion data leak site (DLS), where it is used by affiliates or compromised victims to contact the administrator.

Figure 3 — Onion page TOX ID.

In a post on an underground forum, where the administrator demonstrated how affiliates can build the ransomware, we can see the administrator’s profile page, where their TOX ID is again visible in the corresponding field.

Figure 4 — Image uploaded by RaaS admin.

In the second shared image, we again observe the same TOX ID and see how the target or victim entry is supposed to look from an affiliate’s perspective.

Figure 5 — Image uploaded by RaaS admin.

Considering that the initial post was made by Zeta88, it is likely that this account belongs to the administrator and that their TOX ID is F8E24C7F5B12CD69C44C73F438F65E9BF560ADF35EBBDF92CF9A9B84079F8F04060FF98D098E. This assessment is based on the fact that the same TOX ID appears consistently across different contexts: in the early recruitment posts, in the onion data leak site (DLS), and in the screenshots showing the administrator’s profile and communication fields. Taken together, these overlaps strongly suggest that Zeta88, the later The Gentlemen account, and this TOX ID are all controlled by the same RaaS administrator.


RaaS Affiliates

Check Point Research collected most of the available artifacts related to The Gentlemen RaaS from online sources. Based on the current 412 public victims listed on the data leak site (DLS), and considering that there are likely additional victims who paid and therefore were not published, we identified 29 unique campaigns in public sources such as VirusTotal.

For each of these 29 campaigns, we extracted the TOX ID associated with the corresponding affiliate. Our analysis shows that these campaigns were conducted by 8 unique TOX IDs.
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There are almost certainly more affiliates involved in this group, however, based on our current locker visibility, we can confidently confirm 29 discovered campaigns and ransomware samples.

CmpID: 03860d116701cdc9d9bf9c45099bb3d3 TOX: D2CBA43A1AF6D965432AE11487726DB84D2945CF2CD975D7774B76B54AF052418AC2E59ADA69
CmpID: 11e7baca7e652995b2364fdab0d362b7 TOX: 98C132E2B20B531BE6604397D97040C1E9EB42FCE12EDF119BCE8B4031CA5C70DAF5E65FA3C3
CmpID: 2cd4eb358c45ca783a20ec854a5a860c TOX: 98C132E2B20B531BE6604397D97040C1E9EB42FCE12EDF119BCE8B4031CA5C70DAF5E65FA3C3
CmpID: 2e5d1a352885a6efd84dbc0387cbc79e TOX: D527959A7BC728CB272A0DB683B547F079C98012201A48DD2792B84604E8BC29F6E6BDB8003F
CmpID: 3b7b4f2d33bdfb8a31b480d0eb2815cd TOX: F8E24C7F5B12CD69C44C73F438F65E9BF560ADF35EBBDF92CF9A9B84079F8F04060FF98D098E
CmpID: 4a94d2b730a5a63e6cd54a9b0bb4ea71 TOX: F8E24C7F5B12CD69C44C73F438F65E9BF560ADF35EBBDF92CF9A9B84079F8F04060FF98D098E
CmpID: 4e0c37cbf4dde9683943c8a738e5b00a TOX: D527959A7BC728CB272A0DB683B547F079C98012201A48DD2792B84604E8BC29F6E6BDB8003F
CmpID: 51dec3e170f8a181cc9aea8dcc90c7ab TOX: D2CBA43A1AF6D965432AE11487726DB84D2945CF2CD975D7774B76B54AF052418AC2E59ADA69
CmpID: 583fe1c1a39f6b873a5c0997bea1f657 TOX: 15CE8D5DB0BAC3BCBB1FA69F2E672CC54EFBEC7684DA792F3CBF8B007A9FEA1D16374560DFA5
CmpID: 697f182826495662427ca49edbb345fc TOX: 98C132E2B20B531BE6604397D97040C1E9EB42FCE12EDF119BCE8B4031CA5C70DAF5E65FA3C3
CmpID: 71d503709af88821c183a1d0b7ae06ec TOX: 98C132E2B20B531BE6604397D97040C1E9EB42FCE12EDF119BCE8B4031CA5C70DAF5E65FA3C3
CmpID: 721606b3659f2c2d80a196ed3cd60053 TOX: F96C481CBB0D6E7BDA49C6D68CFDB1D284354961534EDEEDA854C672B48A8D6B7146F90BDACB
CmpID: 735069890a414869f0113de820ba9afb TOX: 98C132E2B20B531BE6604397D97040C1E9EB42FCE12EDF119BCE8B4031CA5C70DAF5E65FA3C3
CmpID: 74ea100b581ec32ea6c2ac2a0030a9f6 TOX: D2CBA43A1AF6D965432AE11487726DB84D2945CF2CD975D7774B76B54AF052418AC2E59ADA69
CmpID: 776e86c13433747299a4e5f9f22e3415 TOX: 2F1A9C8B8AA163BBB84FF799A0954B232C279C5E9EE42505955288EAAD28685A2BC0713C7745
CmpID: 7aae8fd9187c88dd0292cce1abd050e2 TOX: F8E24C7F5B12CD69C44C73F438F65E9BF560ADF35EBBDF92CF9A9B84079F8F04060FF98D098E
CmpID: 82160a7da5fc4c935e6f48d38a5aaaa6 TOX: 98C132E2B20B531BE6604397D97040C1E9EB42FCE12EDF119BCE8B4031CA5C70DAF5E65FA3C3
CmpID: 893f735e9a8cc9814dc6eccd5579561c TOX: D2CBA43A1AF6D965432AE11487726DB84D2945CF2CD975D7774B76B54AF052418AC2E59ADA69
CmpID: 8fceea4fd9ce32dd620ccd580297c7c5 TOX: 98C132E2B20B531BE6604397D97040C1E9EB42FCE12EDF119BCE8B4031CA5C70DAF5E65FA3C3
CmpID: 92d8bd2a6ee7f6d5c84e037066ce0539 TOX: 2F1A9C8B8AA163BBB84FF799A0954B232C279C5E9EE42505955288EAAD28685A2BC0713C7745
CmpID: a023a6b15419600dc3f6b93e11761dfe TOX: 98C132E2B20B531BE6604397D97040C1E9EB42FCE12EDF119BCE8B4031CA5C70DAF5E65FA3C3
CmpID: a73526d89e5fb7b57f50d8da340e53e9 TOX: D2CBA43A1AF6D965432AE11487726DB84D2945CF2CD975D7774B76B54AF052418AC2E59ADA69
CmpID: abd11823ddcc3d746ad8621e677a93eb TOX: 98C132E2B20B531BE6604397D97040C1E9EB42FCE12EDF119BCE8B4031CA5C70DAF5E65FA3C3
CmpID: b5b42ac289581b3387ebf120129a19a6 TOX: 98C132E2B20B531BE6604397D97040C1E9EB42FCE12EDF119BCE8B4031CA5C70DAF5E65FA3C3
CmpID: b68e019efb39b85f5a0326e22fd4498a TOX: F8E24C7F5B12CD69C44C73F438F65E9BF560ADF35EBBDF92CF9A9B84079F8F04060FF98D098E
CmpID: bc6b87c79bc71a78da623d031ec1a958 TOX: D2CBA43A1AF6D965432AE11487726DB84D2945CF2CD975D7774B76B54AF052418AC2E59ADA69
CmpID: d75246d230f22b1da6bbf5fceeed2ef2 TOX: D2CBA43A1AF6D965432AE11487726DB84D2945CF2CD975D7774B76B54AF052418AC2E59ADA69
CmpID: da9cff1b478b64d47b68d50330e96c60 TOX: D527959A7BC728CB272A0DB683B547F079C98012201A48DD2792B84604E8BC29F6E6BDB8003F
CmpID: ead0d7a8ae0a6ffb7f0a5873fec4ff5e TOX: 88984846080D639C9A4EC394E53BA616D550B2B3AD691942EA2CCD33AA5B9340FD1A8FF40E9A

Based on this small collection of samples, most of the campaigns appear to have been conducted by the affiliate using the TOX ID 98C132E2B20B531BE6604397D97040C1E9EB42FCE12EDF119BCE8B4031CA5C70DAF5E65FA3C3. It is also noteworthy that the RaaS administrator’s TOX ID has been observed in four unique infections. This suggests that the administrator not only manages the RaaS program but also actively participates in, or directly carries out, some of the infections.


RaaS Leak

On May 4th, 2026, on an underground forum, the RaaS administrator published a post acknowledging the claims of an internal leak involving their so‑called Rocket database, an internal backend system used to store operational data, and addressed his affiliates directly about the incident.

Figure 6 — The Gentlemen RaaS post.

The message continues in a dismissive tone toward the leak seller and then shifts focus back to “more interesting” topics. These include a full overhaul of the communication structure, the deployment of a new NAS with unlimited storage, and several technical upgrades to the locker, such as removing hardware breakpoints, performing NTDLL unhooking, and patching ETW to suppress Event Tracing for Windows.


Demanding ransom from a RaaS

On May 5th, 2026, the account n7778 with TOX ID 7862AE03A73AAC2994A61DF1F635347F2D1731A77CACC155594C6B681D201F7AD6817AD3AB0A advertised the sale of The Gentlemen’s hacked data on underground forums for 10,000 USD, payable in Bitcoin.

Figure 7 — Account selling The Gentlemen RaaS Data.

In the following days, the same account posted two MediaFire links containing proof files supporting the claimed leak.

Figure 8 — Partial leaks.

The first leaked data is a text file that contains the contents of the shadow file from The Gentlemen’s server, including user account entries and their password hashes. The file lists many usernames, among them zeta88, 3NT3R, B1d3n, C0CA, d0wnloAd1, equal1z3r, F3N1X, Gblog88, JLL, LDW, n0n3, PRTGRS, W1Z. Notably, we again see the zeta88 account, the same handle that was used in the initial underground post advertising the RaaS program, further linking this server to the RaaS administrator.

Figure 9 — shadow file content.

The second leaked data set contains partial conversations between the RaaS operators and their affiliates across several internal channels (such as INFO, general, TOOLS, and PODBOR). In these chats, they coordinate ongoing intrusions, exchange toolsets and EDR‑kill packages, discuss infrastructure and backend components, review CVEs and exploit paths, and talk about specific victims, campaigns, and payouts.

While the partial leaked data that we obtained is around 44.4 MB, a screenshot shared by the same account on another underground forum shows a total size of approximately 16.22 GB, which likely corresponds to the full leaked data set.

Figure 10 — Full leaked data screenshot.


Roles & Structure

The group appears to have a clear division of roles and responsibilities. At the core, the main operator and developer, zeta88 (most likely hastalamuerte), runs the infrastructure and builds and maintains the custom ransomware locker, the RaaS panel and builder (Linux with containers and a TOR front), as well as the GPO‑based spread mechanism and the locker’s “spread” module. This operator also curates toolsets in the TOOLS channel, including EDR kill kits and kiljalki collections, selects targets, and assigns them to specific teams, often talking about “targets”, “подбор” (selection) channels, and distributing corporate victims to groups of 2–3 people. In addition, they manage payouts and negotiations, including multi‑million ransom discussions (“переговоры на 10кк”).

Figure 11 — Image shared in the chats, zeta88 – Admin.

Considering our previous assessment that the RaaS administrator also runs campaigns himself (based on TOX IDs), the leaked chats reinforce this view: they show him personally deploying the locker and encrypting at least one victim’s environment.

Figure 12 — zeta88 locking message.

Often, messages sent by zeta88 appear to be copied or adapted from earlier messages made by hastalamuerte, and affiliates frequently mention hastalamuerte by name. Taken together with previous findings and earlier RaaS posts linked to zeta88, these patterns strongly suggest that hastalamuerte and zeta88 are very likely the same person.

Figure 13 — zeta88 – hastalamuerte message.

Below this core role, key operators or affiliates such as qbit and quant handle more hands‑on operational work. qbit is a practical operator on many cases, responsible for scanning and filtering Fortinet VPNs and other edge devices, performing reconnaissance and persistence (including “крепиться клаудом” (English: “to establish persistence via the cloud”) through Cloudflare tunnels or Zero Trust solutions), and using tools such as NetExec (NXC), RelayKing, PrivHound, and NTLM relay scanning. qbit frequently requests clear EDR killer sets, manuals, and guidance for locking ESXi environments, and also brings in new bot or access suppliers (“поставщик ботов”) (English: “supplier of bots”). quant focuses on log‑based access (“логи ЛБ”, i.e. spilled credentials for OWA/O365 and similar services) and maintains a custom log parser and proprietary credential/data collector, referred to as buildx641, which is run from a domain‑joined machine, uses vssadmin, shadow copies, ntds.dit, and SYSTEM copies, and collects and compresses data from multiple hosts. quant is oriented toward OW/OVA spam and higher‑value (“тир1”) (English: “tier‑1”) victims and has set up a powerful “brute server” (Threadripper PRO, 128 GB RAM, RTX 5090) for large‑scale brute forcing.

Around these core and key operators, there are several other accounts, including Wick, mAst3r, Protagor, Bl0ck, JeLLy, Kunder, and Mamba who take on various roles such as red‑teamers, advertising partners, access brokers, or case‑specific collaborators; for example, Protagor is mentioned in connection with OV (online vault/OWA‑type) spam, while Mamba acts as an access broker for Fortinet VPNs sourced from ramp.

Through this specific leak, we identified 9 unique accounts actively communicating with each other: Kunder, qbit, JeLLy, Protagor, zeta88, Bl0ck, Wick, quant, and mAst3r. This internal interaction pattern supports the view that these accounts form a coordinated operational network within The Gentlemen RaaS ecosystem. This number aligns with our earlier assessment based on the unique TOX IDs extracted from the ransomware lockers.

Group members collaborate on various infections and share the profits as well. As a result, the 90% share allocated to the affiliate is often split among multiple affiliates who worked together to achieve a successful intrusion.

Figure 14 — Collaboration and profit sharing.

Based on the analyzed chat messages, the organization’s structure appears to match the model shown in the following image. It is likely that additional members exist who do not appear in this specific leak, but the roles and relationships we observe here are consistent across the available data. There are also indications of an internal separation between trusted members and newcomers—for example, one message notes that “that Rocket is still alive – there are rookies there”—suggesting a tiered or layered structure within the group.

Figure 15 — Organization diagram.


Operational workflow

The conversations from the leak show a fairly standard but well‑organized operational workflow. The group claims to usually gain initial access through exposed edge devices such as VPN appliances, firewalls, and other internet-facing systems, with a particular focus on platforms like Fortinet FortiGate and Cisco. They combine different methods to achieve this, including credential brute‑forcing against web or VPN panels, exploiting known vulnerabilities, and buying access from third‑party “bot” or access brokers. Screenshots shared in the chats also show them searching for accounts and credentials in data‑breach search engines. Once they obtain a foothold, they treat these systems as pivots to move deeper into the internal network.

Figure 16 — Searching credentials & accounts.

After gaining access, the operators perform internal reconnaissance and privilege escalation to understand the environment and obtain higher-level permissions, often aiming for domain administrator access. They rely on a mixture of Active Directory discovery, certificate abuse, and various local privilege escalation techniques. At the same time, they invest significant effort into disabling or bypassing security tools such as EDR and antivirus solutions, using a combination of misconfigurations, registry abuse, logging mechanisms, and bring-your-own-vulnerable-driver–style (BYOD) techniques to tamper with or overwrite security binaries.

With elevated access and reduced defensive visibility, the group focuses on expanding across the network and preparing for the final stages of the attack. This includes lateral movement, establishing additional tunnels or proxies for reliable connectivity, and relaxing security settings to make further operations easier. They also harvest credentials and browser-based sessions to reuse existing access to corporate services. Data exfiltration is then carried out using automated tools and tuned configurations to move large volumes of data efficiently, often targeting NAS devices, backup systems, and virtualization infrastructure. Finally, once the environment is prepared and critical data is in their control, they deploy their custom ransomware “locker,” which is designed to spread quickly across the network, leverage existing administrator sessions, and encrypt systems in a coordinated manner.


Tools & Infra

The leaked conversations show that The Gentlemen RaaS operators use a repeatable and fairly mature toolset to support their operations. For remote access and C2, they rely on frameworks like ZeroPulse and Velociraptor, combined with Cloudflare-based tunnels and custom VPN setups to keep stable access into compromised networks. For offensive operations, they use a range of red‑team utilities such as NetExec, RelayKing, TaskHound, PrivHound, CertiHound, and others to perform Active Directory discovery, certificate abuse, privilege escalation, and file share discovery. A separate group of tools is dedicated to EDR and AV evasion, including EDRStartupHinder, gfreeze, glinker, and DumpBrowserSecrets, as well as techniques inspired by public research on abusing Windows logging and Event Tracing for Windows (ETW). Finally, they support these activities with infrastructure and helper tools like port scanners (gogo.exe), usage guides, OSINT extensions, and password‑cracking services, which together give them a reusable framework for running repeated intrusions and ransomware deployments.

CategoryTool / ResourcePurpose / UsageReference / Notes
C2 / Remote AccessZeroPulseRemote access / C2 framework for controlling compromised hosts.https://github.com/jxroot/ZeroPulse
C2 / Remote AccessVelociraptorUsed as a covert C2 platform, including memory and LSASS dumping.Often used with signed builds to reduce detection.
C2 / Remote AccessCloudflare Zero Trust / TunnelsProvides stealthy tunnels into victim networks over HTTPS.Used together with custom VPN setups.
VPN / Network Accesswireguard-installAutomates WireGuard VPN deployment.https://github.com/angristan/wireguard-install
VPN / Network Accessopenvpn-installAutomates OpenVPN server setup.https://github.com/angristan/openvpn-install
VPN / Network AccessDouble-VPN-with-OpenVPNConfigures double‑layer OpenVPN routing.https://github.com/pizdatiigus/Double-VPN-with-OpenVPN
Offensive / Red‑TeamNetExec (NXC)Multi‑purpose offensive framework for AD, SMB, WinRM, and more.Internal usage guide via a shared NXC gist.
Offensive / Red‑TeamTaskHoundTask and privilege abuse / persistence helper.Used post‑exploitation.
Offensive / Red‑TeamPrivHoundIdentifies local privilege escalation paths and persistence opportunities.Integrates with BloodHound data.
Offensive / Red‑TeamRelayKing-DepthFinds and exploits NTLM relay paths across protocols.https://github.com/depthsecurity/RelayKing-Depth
Offensive / Red‑TeamCertiHoundEnumerates and detects ADCS misconfigurations (ESC1–ESC17).Used via NetExec integration.
Offensive / Red‑TeamTitanisOffensive tooling for Windows logging / ETW manipulation.https://github.com/trustedsec/Titanis
Offensive / Red‑TeamMANSPIDERSearches file shares for sensitive strings and documents.Used for locating valuable data.
Offensive / Red‑TeamPowerZureAbuses Azure / cloud misconfigurations.Used for cloud‑side access and escalation.
Offensive / Red‑TeamRegPwnRegistry‑based privilege escalation and service abuse.Often used for MSI service abuse.
Offensive / Red‑TeamKslDumpDumps Kerberos / LSASS‑related material.Used for credential theft.
Offensive / Red‑TeamKslKatzKerberos / LSASS post‑exploitation tool similar to credential dumpers.Complements KslDump.
EDR / AV EvasionEDRStartupHinderBlocks or delays EDR processes at startup.Based on the EDR-Startup-Process-Blocker concept.
EDR / AV EvasiongfreezePart of their EDR “killer” toolkit to hinder security products.Derived from EDR‑blocking research/code.
EDR / AV EvasionglinkerAnother component in their EDR evasion sets.Often grouped with gfreeze.
EDR / AV EvasionDumpBrowserSecretsDumps browser cookies and secrets for session hijacking.Used to reuse corporate web sessions.
EDR / AV Evasionzerosalarium ETW/log tricksPublic research they follow for ETW and log‑based EDR kill techniques.Multiple posts referenced for inspiration.
Infra / Scanninggogo.exeScanner for common ports and exposed services.Used in early discovery phases.
Infra / ScanningNXC usage gistInternal guide for effective NetExec usage.https://gist.github.com/gitgotgitgotit/81a578e065da1ccd8c81a8e90c309275
OSINT / Helper ToolsSputnik browser extensionOSINT aggregation extension to support recon.Helps enrich target information.
OSINT / Helper Toolschamd5.orgOnline password hash cracking service.Used for recovering cleartext passwords.
OSINT / Helper Toolshashcracking_botBot‑based password cracking service.Complements other cracking methods.

The leaked chats show that the group pays close attention to other ransomware operations, including the leaked Black Basta negotiations. In particular, they discuss Black Basta’s approach to code signing and note how that group allegedly used VirusTotal to search for legitimate code‑signing certificates, which were then targeted for brute‑force attacks on their private keys. The Gentlemen actors refer to this technique as a model they can reuse or adapt, highlighting their interest in abusing trusted certificates to make their binaries look legitimate and harder to detect.

Figure 17 — Code signing conversations.


AI mentions

The Gentlemen mention AI usage in multiple channels and for various purposes. While it is clear that they have already used AI for code‑assisted development, including experiments with Chinese models, more advanced use cases—such as locally deploying models to analyze large volumes of exfiltrated victim data—are only discussed at a conceptual level. These ideas are suggested in the chats but do not appear to be fully implemented.

zeta88 states that he built the GLOCKER admin panel in three days using AI‑assisted coding. He is candid about the limitations of this approach, noting that while AI can speed up development, you still need to understand what you are doing and be able to guide and correct the code it produces.

Figure 18 — zeta88 “vibe-coded” the Panel.

Members share their AI preferences across different chats. zeta88 states that he finds DeepSeek, Qwen, Kimi, and Emi the most effective models for his purposes, particularly for coding assistance and technical queries.

Figure 19 — AI preferences.

He also suggests adding more Chinese LLMs to their toolkit, in addition to those they are already considering or using, such as DeepSeek and Qwen.

Figure 20 — Chinese LLMs suggestions.

A couple of months later, qbit shares in the INFO channel their recommendation for “the most radical neural network, which creates any content without censorship. Runs on Qwen 3.5 with all barriers removed… Zero refusals. Absolutely no restrictions.”

Figure 21 — Qwen 3.5 post.

zeta88 directs affiliates to use AI as a quick reference—for example, to look up FortiGate internals—rather than asking in the channel.

Figure 22 — Usage of AI as quick reference.

For more challenging tasks such as operational data analysis, identifying high‑value access points, and offloading much of the manual data‑triage work to an AI model, the operators explicitly discuss using an uncensored, self‑hosted LLM. However these suggestions appear to remain theoretical, as Protagor admits, “I have no idea how to do that, but I think it’s possible.

Figure 23 — Local, self-hosted LLM.

Screenshot shared in the chats shows an LLM response on how to send an email to all users via the Jira admin interface, in Russian. It describes two methods, mainly using Jira Automation and user groups.

Figure 24 — Screenshot shared in the chats.

The group appears to be experimenting with well‑known Chinese LLMs and has considered using locally hosted models to assist with data triage on stolen information.


CVEs and Exploits

While the group discusses these vulnerabilities, shares related links, and occasionally attempts to exploit specific systems using particular CVEs, we cannot confirm whether the targeted machines were actually vulnerable to the exact vulnerabilities they referenced.

  • CVE-2024-55591 – FortiOS management interface

This vulnerability affects the FortiOS management interface and fits directly into their broader focus on Fortinet appliances as high‑value initial access points. While the chats do not show detailed exploitation steps, the presence of this CVE alongside their FortiGate targeting suggests it is part of the set of vulnerabilities they track for potential use against exposed management interfaces.

Figure 25 — CVE-2024-55591, related message.
  • CVE-2025-32433 – Erlang SSH vulnerability (Cisco context)

In the logs, qbit shares a proof-of-concept (PoC) for CVE-2025-32433, and zeta88 comments on its quality and applicability. This shows that the group is not simply aware of the CVE but is actively evaluating whether it can be used in real operations, specifically in environments where Cisco or Erlang-based SSH services are exposed. Even if they are cautious about PoC reliability, the discussion confirms that this vulnerability is part of their potential exploit toolkit.

Figure 26 — qbit & zeta88 related posts.
  • CVE-2025-33073 – NTLM reflection / NTLM relay

qbit references RelayKing and shares output showing domains being scanned for NTLM relay issues, including checks that explicitly cover CVE-2025-33073. This is strong evidence that they are not just reading about the vulnerability but have integrated RelayKing into their standard reconnaissance process to generate target lists for tools like ntlmrelayx. In other words, CVE-2025-33073 is a vulnerability they actively scan for and intend to exploit as part of broader NTLM relay workflows.

Figure 27 — Mention of CVE-2025-33073.
  • Other Exploit Paths (Without Explicit CVE IDs)

The operators also make heavy use of technique-based exploits where no specific CVE number is mentioned in the chats. These include:

  • MSI service abuse via RegPwn, used for privilege escalation.
  • Veeam to domain admin paths, based on public write‑ups about misconfigured backup infrastructure.
  • iDRAC to domain admin paths, leveraging Dell iDRAC weaknesses.
  • WPR, AutoLogger, and ETW manipulation techniques documented by zerosalarium and others to overwrite or disable security binaries.


Payments & Negotiations

Zeta88 acts as the organizer/administrator, distributing cryptocurrency payouts to team members (including those who are “AFK”) and advising on how to cash out proceeds via Bitcoin wallets (Guarda, Trust Wallet, Exodus). The group discusses AML (Anti-Money Laundering) evasion strategies. Zeta88 sends a BTC transaction to Kunder as a payout, which Kunder confirms receiving.

Figure 28 — Transaction link shared.

The specific mentions of how they handle Bitcoin laundering/cash out:

  1. Exchange Chains (“связки обмена”) Zeta88 mentions running ~800 transactions through “buy desks” (скупов) via exchange chains, or sometimes sending directly, suggesting chain-hopping to obscure transaction origins.
  2. AML Checking They discuss whether their BTC is “clean” and reference a buyer who actively checks AML scores before transacting. They’re uncertain how the scoring works but are aware their coins could be traced.
  3. Tinkoff QR Code Cash-Out A specific method mentioned: a buyer converts BTC to cash via Tinkoff bank QR codes, with minimums of 400k rubles (previously 250k). This converts crypto directly to Russian banking infrastructure.
  4. Physical Cash Delivery Kunder mentions “locking in the rate” and a guy physically bringing cash at the end of the month, a classic peer-to-peer OTC (over-the-counter) arrangement that bypasses exchanges entirely.
  5. Wallet Infrastructure They recommend non-custodial wallets (Guarda, Trust Wallet, Exodus) specifically to avoid KYC/AML controls that centralized exchanges enforce.

Blurry screenshots from the leak also shed light on the financial side of the operation. Although not fully legible, they appear to show a negotiation where the group secured approximately 190,000 USD after a discount of about 60,000 USD from the initial ransom demand.

Figure 29 — Agreement to pay 190,000 USD.

zeta88 is very aware of the importance of maximizing pressure on extorted victims to increase the chances of payment. In his private channel, he drafts a generic follow‑up letter that can be adapted to any company, emphasizing the costs of not paying the ransom, including regulatory exposure, reputational damage, and operational impact, and citing assessments from previous attacks. This is not the standard ransom note deployed alongside the encryption, but an additional, more tailored communication intended to reinforce the pressure on the victim.

Figure 30 — Negotiation playbook.


Interesting Negotiation Case

In a high‑profile attack in April 2026, a software consultancy company from United Kingdom publicly reported a breach. The company’s leadership stated in an open letter that only “typical business data, including business contact information, contracts, and NDAs related to client work” had been accessed.

From what appears to be a personal channel used by zeta88, he drafts a ransom demand letter addressed to the UK company, detailing what The Gentlemen claim to have exfiltrated, including customer infrastructure data, secrets, OAuth credentials, and more. The letter explicitly emphasizes potential GDPR violations as leverage to pressure the victim into paying.

Figure 31 — Ransom note.

Two weeks later, the group published the consultancy’s identity and breach details on their data leak site (DLS). According to the internal chats, data exfiltrated from the consultancy was then reused both before and during attacks against a company in Turkey, where The Gentlemen gained initial access via a vulnerable VPN appliance.

Figure 32 — Forti access to company in Turkey.

zeta88 ran this operation alongside Protagor, creating a backdoor Okta service account himself—typical of his intensive, hands‑on involvement in many of the intrusions documented in the leaked discussions. During the same campaign, zeta88 explicitly references data from the UK consultancy breach to cross‑reference and enrich information about the Turkish company, illustrating how prior compromises are used to enrich and support new attacks.

Figure 33 — UK company containing information for Turkish company.

One example mentioned was an internal “Transfer/Migration Document” (in the local language), an internal project document the consultancy maintained in its own collaboration platform describing work they did for the company in Turkey. This document, stolen in the first breach, was then used in the second.

The group discussed how best to use this access for extortion. In their internal chats, they talked about publishing the company from Turkey on their DLS together with a statement that, The access to the company in Turkey was obtained through the compromised consultancy from United Kingdom.

Figure 34 — DLS statement discussions.

This served a dual purpose:

  1. Punishing the consultancy (UK), which the actors described as “a very bad company.”
  2. Increasing pressure on the company in Turkey, by promising to show exactly how they gained access so that, the Turkish would be encouraged to legally pursue the consultancy in UK.
Figure 35 — Initial access proof.

Eventually, the Turkish company was published on the group’s DLS, and the attackers “credited” the consultancy in UK as their “access broker”.


Their View of Other RaaS Programs and Actors

The actors consistently frame the RaaS ecosystem through the lenses of brand strength, payout reliability, and affiliate leverage (percentage splits and control over negotiations). Among the programs mentioned, they clearly distinguish a small “top tier” from a broader landscape of lesser or untrusted players.

Program / GroupThings DiscussedSubjective Sentiment (Their View)
HelloKittyName/brand as something they’d like to use; jokes about linking to the real Hello Kitty site and putting (R) everywhere; described explicitly as a “мощный бренд”.Very positive on brand strength and recognition; sees it as a powerful marketing asset.
KrakenMention that “товарищи кракен” wrote to qbitqbit later says their team might “move” over to zeta88’s side.Neutral‑pragmatic; current or past orbit, but clearly willing to switch away for better options.
Dragon ForceOne of only two programs zeta88 would choose from “all presented”; explicitly says they pay both operators and adverts; only negative comments heard were about their software/panel.Strongly positive overall; trusted, in the top tier of programs they respect.
GunraListed among candidate PPs for a supplier; zeta88 says “че эт ваще такое…”, and lumps it with Hyflock; calls the operator “этот мудень”.Negative; unserious / low‑relevance; clear disdain for the operator.
HyflockSame context as Gunrazeta88 dismisses it in the same breath as Gunra, with the same derogatory comment about the person behind it.Negative; grouped with Gunra as not to be taken seriously.
ShadowByt3$ RAASAppears in the candidate list; zeta88 simply comments “хз” (doesn’t know).Neutral; no formed opinion, neither trust nor distrust expressed.
AnubisAppears in the candidate list; zeta88 asks “% видел он?”, focusing on what percentage they take.Cautious / skeptical; interest hinges on profit split; no clear positive trust.
CHAOSAppears in the candidate list; zeta88 asks whether they will still take that supplier (“возьмут ли они его еще”).Uncertain; doubts about acceptance / relationship continuity; not a clearly preferred option.
LockBit (tooling)quant asks what a локбит тулза actually is (builder or decryptor), notes he has not opened it; no explicit evaluation of the group itself.Curious but cautious; tooling is not trusted or fully understood yet; no explicit sentiment on LockBit group.
Black Basta / Devmanquant asks if “блек баста это девман”; zeta88 speaks harshly about “David” and his link to Devman, calls him “мудак” and “чепуха”, wishes them невыплат (non‑payment).Strongly negative but personalized; animosity toward David/Devman rather than a structured view of the RaaS.
“Red team” / Mr Beng clusterMentions Редтим=красный лотос=арсен=баламут=студент and “мистер БЕНГ”; mocks offer of 15k for “source code” of a C2 built on top of white tools (Velociraptor, etc.); ridicules this as overpriced and based on legitimate software.Negative; sees them as overpriced grifters repackaging white tools with heavy marketing.


Conclusion

The Gentlemen RaaS program has quickly evolved into a highly active and structured ransomware ecosystem. With over 320 public victims in 2026 and hundreds more systems visible through related infrastructure, it stands among the most productive RaaS operations that maintain a public data‑leak presence. The leaked Rocket backend and internal chats show that this scale is driven not by a loose crowd, but by a small, tightly coordinated core of about 9 named operators and at least 8 distinct affiliate TOX IDs, all organized around the administrator zeta88 / hastalamuerte, who both runs the platform and participates directly in operations.

The leak reveals a repeatable, human‑operated ransomware playbook: initial access through exposed edge infrastructure (such as VPNs and management interfaces), rapid expansion and privilege escalation, heavy investment in EDR/AV evasion and ETW/logging tampering, and systematic use of shared tools for discovery, lateral movement, credential theft, and data exfiltration. The group actively tracks and evaluates modern vulnerabilities, including CVE-2024-55591, CVE-2025-32433, and CVE-2025-33073and combines them with technique‑driven paths like backup and management‑controller abuse and NTLM relay workflows, giving them a flexible exploitation pipeline.

Overall, The Gentlemen exemplifies how contemporary RaaS programs blend productized ransomware with professional intrusion teams. A small, well‑organized set of operators, supported by curated tooling, structured communication channels, and up‑to‑date exploit knowledge, can generate substantial impact in a short time. For defenders, this underscores the need to harden internet‑facing services, close known misconfigurations and relay paths, and monitor for the specific tools, workflows, and TOX‑based communication patterns tied to this group.


Indicators of Compromise

DescriptionValue
The Gentlemen Windows025fc0976c548fb5a880c83ea3eb21a5f23c5d53c4e51e862bb893c11adf712a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 Gentlemen Linux1eece1e1ba4b96e6c784729f0608ad2939cfb67bc4236dfababbe1d09268960c
5dc607c8990841139768884b1b43e1403496d5a458788a1937be139594f01dca
788ba200f776a188c248d6c2029f00b5d34be45d4444f7cb89ffe838c39b8b19


Yara Rule

rule thegentlemen_ransomware
{
    meta:
        author = "@Tera0017/Check Point Research"
        description = "The Gentlemen Ransomware written in GO."
    strings:
        $string1 = "Silent mode (don't rename files)" ascii
        $string2 = "Encrypt only mapped and UNC network shares" ascii
        $string3 = "README-GENTLEMEN.txt" ascii
        $string4 = "gentlemen.bmp" ascii
        $string5 = "gentlemen_system" ascii
        $string6 = "[+] Encryption started. Going background..." ascii
        $string7 = "[+] FULL Encryption started" ascii
    condition:
        uint16(0) == 0x5A4D and 4 of them
}

The post Thus Spoke…The Gentlemen appeared first on Check Point Research.

  •  

The State of Ransomware – Q1 2026

Key Findings

  • Consolidation after peak fragmentation: The top 10 ransomware groups accounted for 71% of all Q1 2026 victims, a sharp reversal from the fragmentation seen in Q3 2025. The ransomware ecosystem is once again consolidating around fewer, more dominant operators.
  • Volume stabilization at historically high levels: There were 2,122 victims posted on data leak sites (DLS), making this period the second-highest Q1 on record. The long growth trend is stabilizing.
  • Qilin’s sustained dominance: Qilin maintained its position as the most prominent ransomware operation for the third consecutive quarter, posting 338 victims.
  • The Gentlemen is the breakout story of Q1 2026 reaching the third place on the global ransomware list, increasing their victim count from 40 victims in Q4 2025 to 166 in Q1 2026.
  • LockBit 5.0 comeback confirmed: LockBit posted 163 victims in Q1 2026, climbing to fourth place.

Ransomware in Q1 2026: Consolidation at Scale

During the first quarter of 2026, we monitored more than 70 active data leak sites (DLS) that collectively listed 2,122 new victims. This figure represents a 12.2% decline from the Q4 2025 all-time record of 2,416 victims but remains the second-highest Q1 on record at 117% above Q1 2024 (977 victims) and is keeping in line with the elevated baseline established through 2025.

Figure 1 – Total number of reported ransomware victims in DLS, per month (Jun 2024 – Mar 2026).

Monthly volumes within Q1 were consistently stable: in January there were 732 recorded victims, 684 in February, and 706 in March. This reflects a sustained operating rate of an average of 707 victims per month in Q1 2026.

The headline year-over-year (YoY) comparison shows a 7.1% decline from the 2,285 victims in Q1 2025. However, this comparison is misleading as the Q1 2025 numbers were heavily inflated by Cl0p’s Cleo mass-exploitation campaign which contributed approximately 390 victims in a single burst. If we exclude Cl0p from both periods, there were 1,894 victims in Q1 2025 versus 1,995 in Q1 2026, an actual YoY increase of 5.3%. The underlying growth trend in ransomware operations persists, even as the most dramatic spikes subside.

From fragmentation to consolidation

The most significant structural development seen in Q1 2026 is not the volume of attacks but the consolidation of the different operators conducting them. After two years of steady fragmentation, during which the number of active groups grew from 51 in Q1 2024 to a peak of 85 in Q3 2025 and the Top-10 share of victims fell from 68% to 57%, the ecosystem has decisively reversed course.

In Q1 2026, the top 10 groups accounted for 71.1% of all DLS-posted victims, which is the highest concentration since Q1 2024 when the ecosystem was far smaller. The number of active groups shrank from 85 to 71. Fourteen groups that were active in Q4 2025 disappeared entirely, while 21 new names appeared. However, most of the newcomers posted fewer than 10 victims, failing to take advantage of the disappearance of established mid-tier operators.

This is a common pattern repeated throughout the ecosystem’s history: law enforcement actions disrupt the ransomware market, affiliates scatter, and survivors who avoid disruption absorb the displaced talent pool and grow. Groups such as Qilin, Akira, The Gentlemen, and LockBit, who together claimed 41% of all victims in Q1, capitalized on the instability of their competitors. In Q1 2026, Qilin alone posted more victims than the combined output of the bottom 50 groups.

This dynamic carries implications beyond statistics. The consolidation of the ecosystem around fewer, more dominant operators changes its character. Larger RaaS brands invest in operational consistency, including functional decryption tools, because their business model depends on the perception that victim payment results in data recovery. In contrast, the ransomware fragmentation we saw in 2025 introduced dozens of transient operators with no such incentive to invest any effort in decryption. An example is Obscura, whose encryption bug renders files over 1 GB permanently unrecoverable regardless of payment. For defenders and incident responders, consolidation means facing fewer but more capable adversaries.

Figure 2 – Top 10 ransomware groups by number of publicly claimed victims – Q1 2026.

Notable surges and declines

Comparing the data between Q4 2025 and Q1 2026 reveals which groups are absorbing the affiliate talent pool, and which are failing to take advantage of it.

Surges:

  • The Gentlemen grew by 315%, going from 40 claimed victims to 166, making them the biggest story of Q1 2026, covered in detail below.
  • LockBit 5.0 activity increased by 106%, from 79 victims to 163.
  • Nightspire, a closed-group operation with OneDrive cloud encryption capability, expanded by 183% from 29 victims to 82, sustaining growth across two consecutive quarters.
  • Play posted a 64% increase, going from 74 victims to 121.

Declines:

  • SafePay fell by 77%, going from 97 victims to 22. SafePay is a centralized, non-RaaS operation whose DLS was marked inactive from mid-March 2026 through early April for unknown reasons.
  • Devman declined by 70%, from 82 victims to 25. The ransomware’s operator “Tramp”, a former Conti and Black Basta affiliate, was added to Interpol’s wanted list in January 2026. All three DLS sites went offline by early February.
  • Sinobi dropped by 42%, from 139 victims to 80. After a strong January (56 victims), activity collapsed to just 7 victims in March. As of the time of this publication, no postings were recorded in April.
Figure 3 – Interpol’s Red Notice for Devman’s operator, Nefedov.

Actor Spotlight: The Gentlemen – The Breakout Story of Q1 2026

The Gentlemen is the most significant new ransomware operation to emerge in recent months. Going from zero victims in August 2025 to 166 in Q1 2026, the group achieved third place globally through a combination of pre-existing access stockpiles, aggressive geographic diversification, and a deliberate rejection of the traditional US-centric targeting model.

Figure 4 – The Gentlemen monthly victim trajectory, February peak: 82 victims in a single month.

Origins: A Qilin defection

The Gentlemen was founded by a threat actor known as Hastalamuerte – an experienced Qilin affiliate, who left the Qilin RaaS program following a dispute over an unpaid commission of approximately $48,000. This explains both its rapid operational capability and its sophistication: the operators started with established tradecraft, tooling, and, crucially, a stockpile of pre-compromised access.

The FortiGate stockpile

The group’s most distinctive asset is a cache of approximately 14,700 pre-exploited FortiGate devices, exploited primarily via CVE-2024-55591 (a critical authentication bypass in FortiOS/FortiProxy). In addition to the exploited devices, the operators maintain 969 validated brute-forced FortiGate VPN credentials ready for attack. This stockpile provides The Gentlemen with a supply of ready-to-use initial access tools far exceeding what typical RaaS affiliates acquire through real-time exploitation or access broker purchases.

How was this stockpile acquired? According to this report, Hastalamuerte was an experienced affiliate who had previously worked with Embargo, LockBit, and Medusa before joining Qilin. Before creating their own RaaS platform, The Gentlemen’s operators “experimented with various affiliate models used by other prominent ransomware groups.” The 14,700-device inventory likely predates the group’s September 2025 launch. Publishing 38 victims within weeks of beginning operation strongly suggests pre-existing access in the form of a massive number of compromised devices rather than real-time exploitation.

A non-Western targeting model

The Gentlemen’s geographic distribution is a striking outlier. Only 13.3% of its victims are based in the United States, compared to the ecosystem average of 49.6%. Thailand (10.8%), Brazil (6.0%), and India (4.2%) all feature prominently on their victim list.

This may reflect the geographic distribution of exploitable FortiGate devices; the group attacks where it has pre-positioned access, and that access happens to be concentrated in APAC and Latin American networks. This is an infrastructure-driven pattern rather than a deliberate targeting strategy: the operators did not choose Thailand or Brazil based on strategic preference but are exploiting access they already have.

However, we cannot exclude a secondary factor: deliberate avoidance of US targets to reduce law enforcement risk. The Gentlemen is a Russian-speaking operation founded by an affiliate who already experienced the consequences of ransomware ecosystem disputes. The decision to exploit a globally distributed stockpile while bypassing US devices – if that is what is occurring – would represent rational risk management given the heightened US law enforcement posture.

LockBit 5.0: Making a Comeback

LockBit posted 163 victims in Q1 2026 (an increase of 106% compared to Q4 2025), climbing from outside the top 10 to fourth place globally. After an initial surge of 85 victims in January (likely to reflect the accumulation of access during the pre-launch period), activity dipped to just 33 victims in February before climbing back to 45 in March. This dip-and-recovery trajectory is characteristic of a program rebuilding its affiliate base instead of exhausting a one-time stockpile, assuming these are genuine reports and not recycled or fictional reports.

Until its takedown in early 2024, LockBit was the most dominant RaaS operation globally, responsible for 20–30% of all data-leak site victim postings. Following Operation Cronos, several arrests and data seizures disrupted the group’s infrastructure. 

Figure 5 – LockBit’s DLS-published victims (Q1 2023 – Q1 2026).

The new LockBit 5.0 was officially launched on the RAMP underground forum in September 2025, coinciding with the sixth anniversary of the operation. The new version introduced multi-platform support (Windows, Linux, ESXi), enhanced evasion and anti-analysis mechanisms, faster encryption routines, and randomized 16-character file extensions to disrupt signature-based detection. New affiliates were required to provide a Bitcoin deposit of approximately $500.

Geographic diversification: from US dominance to global spread

LockBit’s geographic targeting has undergone a dramatic and measurable shift since its last appearance. Historically, the United States accounted for over 50% of LockBit’s victims – consistent with the ecosystem-wide baseline. In Q1 2026, US victims represented just 21.2% of LockBit’s total, with Italy (8.6%), Brazil (8.6%), and Turkey (5.1%) picking up the slack.

The shift away from US victims is new. Despite no documented forum announcements, the circumstantial evidence is strong: the direction is specifically toward non-US and European nations or countries with less aggressive behavior toward ransomware operators such as Italy, Brazil, and Turkey. The result is a nearly 30-percentage-point (pp) drop in US-based victims, despite an overall 106% increase in victims compared to Q4 2025.

The reaction to law enforcement actions may not result in a lower overall attack volume, but operators such as LockBitSUpp appear to be trying to redirect their activity away from the enforcing jurisdictions. Whether this represents a deliberate strategic decision or an emergent consequence of attracting affiliates from different geographic backgrounds remains an open question.

DragonForce: The Cartel Model Under Pressure

DragonForce posted 101 victims in Q1 2026 (an increase of 29% compared to Q4 2025), with a steep climb from 10 victims in January to 35 in February and 56 in March. This trajectory suggests an operation gaining momentum rather than depleting stockpiled access.

DragonForce continues to distinguish itself through its public relations strategy and “cartel” branding, positioning itself as an umbrella organization for multiple sub-brands. However, our investigation indicates that the cartel model is smaller than advertised:

  • Devman, which split from DragonForce in July 2025, saw their victim totals collapse from 82 (Q4 2025) to 25 (Q1 2026). Twenty-four of those victims were posted in January.
  • Coinbase Cartel, initially reported as a DragonForce sub-brand, has been independently linked to the ShinyHunters operation by Bitdefender.
  • Obscura, cited as a potential cartel member, posted only around 20 victims in total.

DragonForce’s technical capabilities remain genuine with multi-platform support and the group actively recruits affiliates. Its data audit service, which analyzes stolen datasets exceeding 300 GB to identify the most valuable information for extortion leverage, represents genuine innovation in the extortion model. However, the broader cartel narrative appears to be more marketing than substance.

Geographic Distribution of Victims – Q1 2026

The geographic distribution of ransomware victims in Q1 2026 maintains the fundamental pattern established over previous quarters: the United States accounts for just under half of all reported cases (49.6%), with Western developed economies making up the clear majority of targets.

Figure 6 – Top 10 targeted countries, Q1 2026.

The most notable development is Thailand’s entry into the top 10 for the first time, driven almost entirely by The Gentlemen, for whom Thai organizations constitute 10.8% of total victims. Taiwan also rose sharply (from 8 victims to 26), while South Korea dropped out entirely. This confirms that Qilin’s Q3 2025 financial sector campaign targeting 30 South Korean organizations was a one-off event rather than a sustained targeting shift.

Per-Actor Geographic Targeting: Distinct Patterns

A per-actor analysis of the top 20 groups’ country distributions reveals that the ecosystem-level averages mask dramatically different targeting strategies. We identified six distinct geographic patterns by measuring each actor’s deviation from the 49.6% US baseline.

Pattern 1 – Extreme US focus (>75% US). These actors target the United States at rates far exceeding the ecosystem average:

  • Play (85.1% US) operates as a closed group with a Russia-nexus lineage and centralized target selection that consistently prefers US organizations.
  • Sinobi (76.2% US) explicitly targets US mid-market manufacturing and construction.
  • Genesis (93.1% US) whose near-exclusive US focus (27 of 29 confirmed victims) and emphasis on the Healthcare sector (20.7%) is striking for an emerging actor with no documented affiliate program.

Pattern 2 – Deliberate US avoidance (<25% US). These actors are going in the opposite direction:

  • Tengu (11.4% US) is the most geographically diversified actor in the top 20, with victims spread across Indonesia (8.6%), Mexico (8.6%), India (6.9%), and Italy (5.8%).
  • LockBit (21.5% US) represents deliberate post-disruption diversification, as discussed above.

Pattern 3 – Vulnerability related distribution:

  • Cl0p’s geographic anomalies (18.1% Canada and 8.7% Australia). Cl0p’s traditional mass exploitation campaigns produce victim distributions that mirror the installed base of the exploited software, in this case EBS campaign (CVE-2025-61882).
  • The Gentlemen (13.3% US) reflects the geographic distribution of its approximately 14,700-device FortiGate access stockpile, which is concentrated in Thailand (10.8%), Brazil (6%), and India (4.2%).

Country-Level Actor Dominance: When One Group Shapes a Nation’s Threat Profile

Flipping the analysis from “which countries does an actor target” to “which actors dominate each country” reveals an even more striking picture. Several countries’ entire ransomware threat profiles are defined by a single actor’s operational choices.

Single-actor-shaped countries:

CountryDominant actorShare
ThailandThe Gentlemen53%
ArgentinaQilin39%
MexicoLockBit37%
AustraliaCl0p34%
SwitzerlandAkira31%
BrazilLockBit31%

Thailand’s case is the most extreme: more than half of all Thai ransomware victims are claimed by The Gentlemen. Without this single group, Thailand would not even appear in the top-10 most-attacked countries. Similarly, without Cl0p’s Oracle EBS campaign, Australia and Canada would show substantially lower victim counts. These findings underscore that country-level ransomware statistics are frequently shaped by one actor’s specific access inventory, software exploitation campaign, or strategic redirection – not by broad shifts in the threat landscape.

Multi-actor convergence countries. Two countries stand out for having three or more actors independently converging to create unusually diverse threat environments:

  • Turkey (23 victims): LockBit (6 victims) + DragonForce (5 victims) + The Gentlemen (5 victims), 70% of Turkey’s victim totals are due to the activity of just three actors.
  • Japan (21 victims): The Gentlemen (6 victims) + Everest (4 victims) + Nightspire (3 victims). = 62% of the victims are due to three distinct actors. Both The Gentlemen and Nightspire exploit the same FortiGate vulnerability (CVE-2024-55591).

Ransomware Attacks by Industry – Q1 2026

The industry distribution of ransomware victims in Q1 2026 shows continued cross-sector impact, with a few notable concentrations.

Figure 7 – Ransomware victims by industry, Q1 2026.

As with geographic patterns, ecosystem-level industry averages mask fundamentally different targeting strategies at the actor level. A per-actor analysis of the top 20 groups reveals that sector selection is driven by at least three distinct observations.

Software footprint targeting. Cl0p’s 53.5% Business Services concentration (+18.6 percentage points above baseline) does not reflect a preference for professional services firms. It reflects the user base of Oracle EBS, the enterprise application exploited in the Q1 2026 campaign. Mass exploitation campaigns produce industry distributions that mirror the deployment pattern of the exploited software. This is the same dynamic observed in Cl0p’s geographic analysis, where Canada and Australia were over-represented because of Oracle EBS adoption.

Operational disruption maximization. Akira’s targeting of Consumer Goods (23.9%, +9.8 percentage points above baseline) and Industrial Manufacturing (17.8%, +6.7 percentage points above baseline), a combined 41.7% versus the 25.1% baseline, is consistent with an economically optimized model. These sectors share high downtime costs (production lines, supply chain dependencies) and complex IT/OT environments that make recovery without decryption keys extremely difficult. With $244 million in total proceeds and a 34% share of IR engagements, Akira’s sector selection reflects deliberate targeting of firms where the pressure to pay is greatest. This is not opportunistic; it’s the Conti lineage playbook applied to the sectors where it generates the highest return per incident.

Anubis stands apart from all other top-20 actors in its willingness to target healthcare (13.0%, +8.3 percentage points above baseline) and critical infrastructure (8.7%, +7.7 percentage points above baseline).

Conclusion

In Q1 2026, the ransomware ecosystem entered a new phase. After two years of steady fragmentation, the market is reconsolidating around a smaller number of dominant operators. Qilin, Akira, The Gentlemen, and LockBit together account for 41% of all victims. Domination by the top-10 actors has returned to levels not seen since early 2024.

This consolidation is not a return to the previous state. The emerging dominant groups are more technically capable, more geographically diversified, and more resilient to disruption than their predecessors. At the same time, the economic foundations of ransomware are showing signs of stress. Payment rates have fallen to historic lows. Mass data-theft campaigns are generating diminishing returns. The gap between the growing number of DLS-posted victims (2,122 in Q1 2026) and the declining monetization per victim may accelerate the current consolidation squeezing out operators who cannot achieve sufficient scale or sophistication to remain profitable.

The post The State of Ransomware – Q1 2026 appeared first on Check Point Research.

  •  

Threat landscape for industrial automation systems in Q4 2025

Statistics across all threats

The percentage of ICS computers on which malicious objects were blocked has been decreasing since the beginning of 2024. In Q4 2025, it was 19.7%. Over the past three years, the percentage has decreased by 1.36 times, and by 1.25 times since Q4 2023.

Percentage of ICS computers on which malicious objects were blocked, Q1 2023–Q4 2025

Percentage of ICS computers on which malicious objects were blocked, Q1 2023–Q4 2025

Regionally, in Q4 2025, the percentage of ICS computers on which malicious objects were blocked ranged from 8.5% in Northern Europe to 27.3% in Africa.

Regions ranked by percentage of ICS computers on which malicious objects were blocked

Regions ranked by percentage of ICS computers on which malicious objects were blocked

Four regions saw an increase in the percentage of ICS computers on which malicious objects were blocked. The most notable increases occurred in Southern Europe and South Asia. In Q3 2025, East Asia experienced a sharp increase triggered by the local spread of malicious scripts, but the figure has since returned to normal.

Changes in percentage of ICS computers on which malicious objects were blocked, Q4 2025

Changes in percentage of ICS computers on which malicious objects were blocked, Q4 2025

Feature of the quarter: worms in email

In Q4 2025, the percentage of ICS computers on which wormsinemailattachments were blocked increasedinallregions of the world.

Many of the blocked threats were related to the worm Backdoor.MSIL.XWorm. This malware is designed to persist on the system and then remotely control it.

Interestingly, this threat was not detected on ICS computers in the previous quarter, yet it appeared in all regions in Q4 2025.

A study found that the active spread of Backdoor.MSIL.XWorm via phishing emails was likely linked to the use by hackers of another malware obfuscation technique that was actively used during massive phishing campaigns in Q4 2025. These campaigns have been known since 2024 as “Curriculum-vitae-catalina”.

The attackers distributed phishing emails to HR managers, recruiters, and employees responsible for hiring. The messages were disguised as responses from job applicants with subjects such as “Resume” or “Attached Resume” and contained a malicious executable file under the guise of a curriculum vitae. Typically, the file was named Curriculum Vitae-Catalina.exe. When executed, it infected the system.

In Q4 2025, the threat spread across regions in two waves — one in October and another in November. Russia, Western Europe, South America, and North America (Canada) were attacked in October. A spike in Backdoor.MSIL.XWorm blocking was observed in other regions in November. The attack subsided in all regions in December.

The highest percentage of ICS computers on which Backdoor.MSIL.XWorm was blocked was observed in regions where threats from email clients had been historically blocked at high rates on ICS computers: Southern Europe, South America, and the Middle East.

At the same time, in Africa, where USB storage media are still actively used, the threat was also detected when removable devices were connected to ICS computers.

Selected industries

The biometrics sector has historically led the rankings of industries and OT infrastructures surveyed in this report in terms of the percentage of ICS computers on which malicious objects were blocked.

These systems are characterized by accessibility to and from the internet, as well as minimal cybersecurity controls by the consumer organization.

Rankings of industries and OT infrastructure by percentage of ICS computers on which malicious objects were blocked

Rankings of industries and OT infrastructure by percentage of ICS computers on which malicious objects were blocked

In Q4 2025, the percentage of ICS computers on which malicious objects were blocked increased only in one sector: oil and gas. The corresponding figures increased in two regions: Russia, and Central Asia and the South Caucasus.

However, if we look at a broader time span, there is a downward trend in all the surveyed industries.

Percentage of ICS computers on which malicious objects were blocked in selected industries

Percentage of ICS computers on which malicious objects were blocked in selected industries

Diversity of detected malicious objects

In Q4 2025, Kaspersky protection solutions blocked malware from 10,142 different malware families of various categories on industrial automation systems.

Percentage of ICS computers on which the activity of malicious objects from various categories was blocked

Percentage of ICS computers on which the activity of malicious objects from various categories was blocked

In Q4 2025, there was an increase in the percentage of ICS computers on which worms, and miners in the form of executable files for Windows were blocked. These were the only categories that exhibited an increase.

Main threat sources

Depending on the threat detection and blocking scenario, it is not always possible to reliably identify the source. The circumstantial evidence for a specific source can be the blocked threat’s type (category).

The internet (visiting malicious or compromised internet resources; malicious content distributed via messengers; cloud data storage and processing services and CDNs), email clients (phishing emails), and removable storage devices remain the primary sources of threats to computers in an organization’s technology infrastructure.

In Q4 2025, the percentage of ICS computers on which malicious objects from various sources were blocked decreased. All sources except email clients saw their lowest levels in three years.

Percentage of ICS computers on which malicious objects from various sources were blocked

Percentage of ICS computers on which malicious objects from various sources were blocked

The same computer can be attacked by several categories of malware from the same source during a quarter. That computer is counted when calculating the percentage of attacked computers for each threat category, but is only counted once for the threat source (we count unique attacked computers). In addition, it is not always possible to accurately determine the initial infection attempt. Therefore, the total percentage of ICS computers on which various categories of threats from a certain source were blocked can exceed the percentage of computers affected by the source itself.

  • In Q4 2025, the percentage of ICS computers on which threats from the internet were blocked decreased to 7.67% and reached its lowest level since the beginning of 2023. The main categories of internet threats are malicious scripts and phishing pages, and denylisted internet resources. The percentage ranged from 3.96% in Northern Europe to 11.33% in South Asia.
  • The main categories of threats from email clients blocked on ICS computers were malicious scripts and phishing pages, spyware, and malicious documents. Most of the spyware detected in phishing emails was delivered as a password archive or a multi-layered script embedded in office document files. The percentage of ICS computers on which threats from email clients were blocked ranged from 0.64% in Northern Europe to 6.34% in Southern Europe.
  • The main categories of threats that were blocked when removable media was connected to ICS computers were worms, viruses, and spyware. The percentage of ICS computers on which threats from removable media were blocked ranged from 0.05% in Australia and New Zealand to 1.41% in Africa.
  • The main categories of threats that spread through network folders in Q4 2025 were viruses, AutoCAD malware, worms, and spyware. The percentage of ICS computers on which threats from network folders were blocked ranged from 0.01% in Northern Europe to 0.18% in East Asia.

Threat categories

Typical attacks blocked within an OT network are multi-step sequences of malicious activities, where each subsequent step of the attackers is aimed at increasing privileges and/or gaining access to other systems by exploiting the security problems of industrial enterprises, including OT infrastructures.

Malicious objects used for initial infection

In Q4 2025, the percentage of ICS computers on which denylisted internet resources were blocked decreased to 3.26%. This is the lowest quarterly figure since the beginning of 2022, and it has decreased by 1.8 times since Q2 2025.

Percentage of ICS computers on which denylisted internet resources were blocked, Q1 2023–Q4 2025

Percentage of ICS computers on which denylisted internet resources were blocked, Q1 2023–Q4 2025

Regionally, the percentage of ICS computers on which denylisted internet resources were blocked ranged from 1.74% in Northern Europe to 3.93% in Southeast Asia, which displaced Africa from first place. Russia rounded out the top three regions for this indicator.

The percentage of ICS computers on which malicious documents were blocked increased for three consecutive quarters. However, in Q4 2025 it decreased by 0.22 pp to 1.76%.

Percentage of ICS computers on which malicious documents were blocked, Q1 2023–Q4 2025

Percentage of ICS computers on which malicious documents were blocked, Q1 2023–Q4 2025

Regionally, the percentage ranged from 0.46% in Northern Europe to 3.82% in Southern Europe. In Q4 2025, the indicator increased in Eastern Europe, Russia, and Western Europe.

The percentage of ICS computers on which malicious scripts and phishing pages were blocked decreased to 6.58%. Despite the decline, this category led the rankings of threat categories in terms of the percentage of ICS computers on which they were blocked.

Percentage of ICS computers on which malicious scripts and phishing pages were blocked, Q1 2023–Q4 2025

Percentage of ICS computers on which malicious scripts and phishing pages were blocked, Q1 2023–Q4 2025

Regionally, the percentage ranged from 2.52% in Northern Europe to 10.50% in South Asia. The indicator increased in South Asia, South America, Southern Europe, and Africa. South Asia saw the most notable increase, at 3.47 pp.

Next-stage malware

Malicious objects used to initially infect computers deliver next-stage malware — spyware, ransomware, and miners — to victims’ computers. As a rule, the higher the percentage of ICS computers on which the initial infection malware is blocked, the higher the percentage for next-stage malware.

In Q4 2025, the percentage of ICS computers on which spyware, ransomware and web miners were blocked decreased. The rates were:

  • Spyware: 3.80% (down 0.24 pp). For the second quarter in a row, spyware took second place in the rankings of threat categories in terms of the percentage of ICS computers on which it was blocked.
  • Ransomware: 0.16% (down 0.01 pp).
  • Web miners: 0.24% (down 0.01 pp), this is the lowest level observed thus far in the period under review.

The percentage of ICS computers on which miners in the form of executable files for Windows were blocked increased to 0.60% (up 0.03 pp).

Self-propagating malware

Self-propagating malware (worms and viruses) is a category unto itself. Worms and virus-infected files were originally used for initial infection, but as botnet functionality evolved, they took on next-stage characteristics.

To spread across ICS networks, viruses and worms rely on removable media and network folders and are distributed in the form of infected files, such as archives with backups, office documents, pirated games and hacked applications. In rarer and more dangerous cases, web pages with network equipment settings, as well as files stored in internal document management systems, product lifecycle management (PLM) systems, resource management (ERP) systems and other web services are infected.

In Q4 2025, the percentage of ICS computers on which worms were blocked increased by 1.6 times to 1.60%. As mentioned above, this increase is related to a global phishing attack that spread the Backdoor.MSIL.XWorm backdoor worm across all regions of the world. The percentage increased in all regions. The biggest increase (up by 2.16 times) was in Southern Europe. The malware was primary distributed through email clients, and Southern Europe led the way in terms of the percentage of ICS computers on which threats from email clients were blocked.

The percentage of ICS computers on which viruses were blocked decreased to 1.33%.

AutoCAD malware

This category of malware can spread in a variety of ways, so it does not belong to a specific group.

After an increase in the previous quarter, the percentage of ICS computers on which AutoCAD malware was blocked decreased to 0.29% in Q4 2025.

For more information on industrial threats see the full version of the report.

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Navigating 2026’s Converged Threats: Insights from Flashpoint’s Global Threat Intelligence Report

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Navigating 2026’s Converged Threats: Insights from Flashpoint’s Global Threat Intelligence Report

In this post, we preview the critical findings of the 2026 Global Threat Intelligence Report, highlighting how the collapse of traditional security silos and the rise of autonomous, machine-speed attacks are forcing a total reimagining of modern defense.

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March 11, 2026

The cybersecurity landscape has reached a point of total convergence, where the silos that once separated malware, identity, and infrastructure have collapsed into a single, high-velocity threat engine. Simultaneously, the threat landscape is shifting from human-led attacks to machine-speed operations as a result of agentic AI, which acts as a force multiplier for the modern adversary.

Flashpoint’s 2026 Global Threat Intelligence Report

Flashpoint’s 2026 Global Threat Intelligence Report (GTIR) was developed to anchor security leaders — from threat intelligence and vulnerability management teams to physical security professionals and the CISO’s office — with the data required to navigate this year’s greatest threats, rife with infostealers, vulnerabilities, ransomware, and malicious insiders.

Our report uncovers several staggering metrics that illustrate the industrialization of modern cybercrime:

  • AI-related illicit activity skyrocketed by 1,500% in a single month at the end of 2025.
  • 3.3 billion compromised credentials and cloud tokens have turned identity into the primary exploit vector.
  • From January 2025 to December 2025, ransomware incidents rose by 53%, as attackers pivot from technical encryption to “pure-play” identity extortion.
  • Vulnerability disclosures surged by 12% from January 2025 to December 2025, with the window between discovery and mass exploitation effectively vanishing.

These findings are derived from Flashpoint’s Primary Source Collection (PSC), a specialized operating model that collects intelligence directly from original sources, driven by an organization’s unique Priority Intelligence Requirements (PIR). The 2026 Global Threat Intelligence Report leverages this ground-truth data to provide a strategic framework for the year ahead. Download to gain:

  1. A Clear Understanding of the New Convergence Between Identity and AI
    Discover how threat actors are preparing to transition from generative tools to sophisticated agentic frameworks. Learn how 3.3 billion compromised credentials are being weaponized via automated orchestration to bypass legacy defenses and exploit the connective tissue of modern corporate APIs.
  2. Intelligence on the “Franchise Model” of Global Extortion
    Gain deep insight into the professionalized operations of today’s most prolific threat actors. From the industrial efficiency of RaaS groups like RansomHub and Clop to the market dominance of the next generation of infostealer malware, we break down the economics driving today’s cybercrime ecosystem.
  3. A Blueprint for Proactive Defense and Risk Mitigation
    Leverage the latest trends, in-depth analysis, and data-driven insights driven by Primary Source Collection to bolster your security posture by identifying and proactively defending against rising attack vectors.

As attackers automate exploitation of identity, vulnerabilities, and ransomware, defenders who rely on fragmented visibility will fall behind. To keep pace, organizations must ground their decisions in primary-source intelligence that is drawn from adversarial environments, so that decision-makers can get ahead of this accelerating threat cycle.”

Josh Lefkowitz, CEO & Co-Founder at Flashpoint

The Top Threats at a Glance

Our latest report identifies four driving themes shaping the 2026 threat landscape:

2026 Is the Era of Agentic-Based Cyberattacks

Flashpoint identified a 1,500% rise in AI-related illicit discussions between November and December 2025, signaling a rapid transition from criminal curiosity to the active development of malicious frameworks. Built on data pulled from criminal environments and shaped by fraud use cases, these systems scrape data, adjust messaging for specific targets, rotate infrastructure, and learn from failed attempts without the need for constant human involvement.

2026 is the era of agentic-based cyberattacks. We’ve seen a 1,500% increase in AI-related illicit discussions in a single month, signaling increased interest in developing malicious frameworks. The discussions evolve into vibe-coded, AI-supported phishing lures, malware, and cybercrime venues. When iteration becomes cheap through automation, attackers can afford to fail repeatedly until they find a successful foothold.

Ian Gray, Vice President of Cyber Threat Intelligence Operations at Flashpoint

Identity Is the New Exploit

Flashpoint observed over 11.1 million machines infected with infostealers in 2025, fueling a massive inventory of 3.3 billion stolen credentials and cloud tokens. The fundamental mechanics of cybercrime have shifted from breaking in to logging in, as attackers leverage stolen session cookies to behave like legitimate users.

The Patching Window Is Rapidly Closing

Vulnerability disclosures surged by 12% in 2025, with 1 in 3 (33%) vulnerabilities having publicly available exploit code. The strategic gap between discovery and weaponization is increasingly vanishing, as evidenced by mass exploitation of zero-day vulnerabilities in as little as 24 hours after discovery.

Ransomware Is Hacking the Person, Not the Code

As technical defenses against encryption harden, ransomware groups are pivoting to the path of least resistance: human trust. This approach has led to a 53% increase in ransomware, with RaaS groups being responsible for over 87% of all ransomware attacks.

Build Resilience in a Converged Landscape

The findings in the 2026 Global Threat Intelligence Report make one thing clear: incremental improvements to legacy security models are no longer sufficient. As adversaries transition to machine-speed operations, the strategic advantage shifts to organizations that can maintain visibility into the adversarial environments where these attacks are born.

Protecting organizations and communities requires an intelligence-first approach. Download Flashpoint’s 2026 Global Threat Intelligence Report to gain clarity and the data-driven insights needed to safeguard critical assets.

Get Your Copy

The post Navigating 2026’s Converged Threats: Insights from Flashpoint’s Global Threat Intelligence Report appeared first on Flashpoint.

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Ransomware attacks on schools and colleges | Kaspersky official blog

Back when ransomware was just a startup industry, the primary goal of the attackers was simple: encrypt data, then extort a ransom in exchange for decrypting it. Because of this, cybercriminals mostly targeted commercial enterprises — companies that valued their data enough to justify a hefty payout. Schools and colleges were generally left alone — hackers assumed educators didn’t have the kind of data worth paying a ransom for.

But times have changed, and so has the ransomware groups’ business model. The focus has shifted from payment for decryption, to extortion in exchange for non-disclosure of stolen data. Now, the “incentive” to pay isn’t just about restoring the company’s normal operations, but rather avoiding regulatory trouble, potential lawsuits, and reputational damage. And it’s this shift that’s put educational institutions in the crosshairs.

In this post, we discuss several cases of ransomware attacks on educational organizations, why they took place, and how to keep cybercriminals out of the classroom.

Attacks on educational institutions in 2025–2026

In February 2026, the Sapienza University of Rome, one of Europe’s oldest and largest higher education institutions, suffered a ransomware attack. Internal systems were down for three days. According to sources familiar with the incident, the cybercriminals sent the university’s administration a link leading to a ransom demand. Upon clicking the link, a countdown timer started on the site that opened — counting down from  72 hours: the time the attackers demands needed to be met. As of now, there’s still no word on whether the university administration paid up or not.

Unfortunately, this case isn’t an exception. At the very end of 2025, attackers targeted another Italian educational institution — a vocational training center in the small city of Treviso. Things aren’t looking much better in the UK, either: in the same year, Blacon High School was hit by ransomware. Its administration had to shut its doors for two days to restore its IT systems, assess the scale of the incident, and prevent the attack from spreading further through the network.

In fact, a UK government study suggests these incidents are just part of a broader trend. According to its 2025 data, cyberincidents hit 60% of secondary schools, 85% of colleges, and 91% of universities. Across the pond, American researchers also noted that in the first quarter of 2025, ransomware attacks in the global education sector surged by 69% year on year. Clearly, the trend is global.

Why schools and universities are becoming easy targets

The core of the problem is that modern educational organizations are rapidly incorporating digital services into their operations. A typical school or university infrastructure now manages a dizzying array of services:

  • Electronic gradebooks and registers
  • Distance learning platforms
  • Admission systems and databases for storing applicants’ personal data
  • Cloud storage for educational materials
  • Internal staff and student portals
  • Email for faculty, students, and the administration to communicate

While these systems make education more convenient and manageable, they also drastically expand the attack surface. Every new service and every additional user account is a potential doorway for a phishing campaign, access compromise, or a personal data leak.

According to a UK study, the primary vector for these attacks is basic phishing. But that’s not all that surprising: since the education sector was off the cybercriminals’ radar for so long, cybersecurity training for both staff and students was hardly a priority. As a result, even the most seasoned professors can find themselves falling for a fake email purportedly sent by the “dean” or the “school principal”.

But it’s not just the faculty. Students themselves often unwittingly act as mules for malware. In many institutions, students still frequently hand in assignments on USB flash drives. These drives travel across various home or public devices, picking up malicious digital hitchhikers along the way. All it takes is one infected USB drive plugged into a campus workstation to give an attacker a foothold in the internal network.

It’s worth noting that while USB drives aren’t as ubiquitous as they were a decade ago, they remain a staple in the educational environment. Dismissing the threats they carry isn’t a good idea.

How to ensure the cybersecurity of educational infrastructure

Let’s face it: training every literature and biology teacher to spot phishing emails is now easy, quick task. Similarly, the educational system isn’t going to cut down on USB usage overnight.

Fortunately, a robust security solution (such as Kaspersky Small Office Security) can do the heavy lifting for you. It’s ideal for schools and colleges that need set-it-and-forget-it protection without a steep learning curve. Plus, it’s affordable even for institutions operating on a tight budget, and doesn’t require constant management.

At the same time, Kaspersky Small Office Security addresses all the threats we’ve discussed above: it blocks clicks on phishing links, automatically scans USB drives the moment they’re plugged in, and prevents suspicious files from executing on devices connected to the school’s network.

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Threat Brief: Escalation of Cyber Risk Related to Iran (Updated April 17)

Unit 42 details recent Iranian cyberattack activity, sharing direct observations of phishing, hacktivist activity and cybercrime. We include recommendations for defenders.

The post Threat Brief: Escalation of Cyber Risk Related to Iran (Updated April 17) appeared first on Unit 42.

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Iranian Conflict Intelligence Dashboard Immediately Available for ThreatConnect

The escalation of geopolitical tensions specifically focused on the Iranian Conflict over the last days of February 2026 has intensified the significant cyber and physical security risks to organizations globally. 

With threat activity emanating from advanced Iranian state-sponsored actors, aligned hacktivist collectives, and opportunistic criminal groups, security teams must remain agile, informed, and proactive. 

The Iranian Conflict Intelligence Dashboard has been updated to equip defenders with timely, high-fidelity intelligence that specifically reflects the dynamic threat environment shaped by this high-profile regional conflict with a heightened focus on Iran-linked activity.

Key Threat Actor Groups & Campaign Themes Tracked Include:

  • IRGC-affiliated Cyber Units (e.g., APT33, APT34, APT39, APT42): Tracking activity from primary state-sponsored groups.
  • Proxies and Ideological Hacktivist Actors: Monitoring activity from groups like CyberAv3ngers, APT IRAN, Handala Hack, Lulzsec, Dark Storm Team, GhostSec, Cyber Islamic Resistance, and others aligned with Iranian strategic interests.
  • Coordinated Influence and Disinformation Campaigns.
  • OT and Critical Infrastructure Targeting Efforts, particularly those targeting Israeli and Western assets.

Rather than tracking isolated threats, the –Iranian Conflict Intelligence Dashboard dashboard provides strategic context and operational detail across the broader cyber conflict spectrum, enabling faster detection, response, and mitigation.

Key Benefits:

  • Conflict-Centric Intelligence Aggregation – Centralized indicators of compromise (IOCs), TTPs, and threat insights related to Iranian-linked campaigns, sourced from open source intelligence (OSINT), premium threat feeds, and internal telemetry.
  • Live Threat Environment Tracking – Monitors shifts in activity across major adversary groups, cyber incidents, defacements, DDoS campaigns, and geopolitical events fueling escalation.
  • Accelerated Incident Response – Enriched and correlated intelligence to support triage, prioritization, and response activities during periods of elevated tension or retaliatory operations.
  • Custom Visualization & Analysis – Interactive dashboards featuring timeline analysis, actor overlap matrices, infrastructure clustering, and geographic threat origination maps.
  • ThreatConnect Automation Integration – Seamless correlation with existing ThreatConnect adversary profiles, intrusion sets, and signature-based alerts to identify high-risk overlaps with organizational environments.

Leveraging this dashboard allows security teams to anticipate conflict-related threats, understand attacker motivations, and tailor defenses to emerging risks as the Iranian cyber conflict evolves.

Specific Intelligence Focus: Iranian Malware List

  • APT42: tamecat, tabbycat, vbrevshell, powerpost, brokeyolk, chairsmack, asyncrat
  • APT34: powbat, powruner, bondupdater
  • APT33: shapeshift, dropshot, turnedup, nanocore, netwire, alfa shell
  • Other Related Malware: Gh0st Rat, quasarrat, amadey, bittersweet, cointoss, lateop

Specific Intelligence Focus: Iranian ICS Targets

ICS Systems Likely to be targeted by Iranian threat actors (based on analysis like the Censys report):

  • “Unitronics” or (“Vision” AND (PLC OR HMI))
  • “Tridium” or “Niagara”
  • “Orpak” or “SiteOmat”
  • “red lion”

Dashboard Components Include:

  1. Indicators linked to state-sponsored and proxy cyber operations.
  2. Threat groups aligned to Iranian strategic cyber interests.
  3. Reports and advisories referencing the conflict, regional escalations, or actor-attributed activity.
  4. Campaign tracking with attribution timelines, victimology insights, and strategic objectives.
  5. MITRE ATT&CK techniques used by affiliated groups, mapped to known incidents.
  6. Keyword and tag intelligence trends across conflict-related reporting.
  7. Infrastructure associations (e.g., shared IPs, domains, malware hashes).
  8. Actor and alias mapping, including cross-reference to public and private sector intelligence.
  9. Vulnerabilities linked to recent Iran intelligence activity.

Screen Capture of Iranian Conflict Intelligence Dashboard

Lead Contributor – Adrian Dela Cruz , Customer Success Engineer

To gain access to the Iranian Conflict Intelligence Dashboard, please reach out to your Customer Success team or reach out to us through our contact form.

The dashboard is also available here, and can be added manually to your ThreatConnect instance.

The post Iranian Conflict Intelligence Dashboard Immediately Available for ThreatConnect appeared first on ThreatConnect.

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Mustang Panda Intelligence Dashboard Immediately Available for ThreatConnect

Mustang Panda—also known in industry and government reporting as BASIN, BRONZE PRESIDENT, CAMARO DRAGON, EARTH PRETA, FIREANT, G0129, HIVE015, HoneyMyte, LUMINOUS MOTH, Polaris, RedDelta, STATELY TAURUS, TA416, TANTALUM, TEMP.HEX, TWILL TYPHOON, or UNC6384—is a highly active, state-sponsored Chinese cyber-espionage group assessed to operate under the People’s Republic of China (PRC). Active for over a decade, the group is distinguished by its high operational tempo and “volume over stealth” approach to espionage.

Mustang Panda has consistently targeted entities that intersect with Beijing’s geopolitical priorities, particularly government and diplomatic institutions, maritime logistics organizations, and religious institutions. Their campaigns demonstrate a persistent focus on intelligence collection related to foreign policy, trade routes, and sensitive diplomatic engagements.

Multiple cybersecurity vendors and government agencies assess with high confidence that Mustang Panda operates in alignment with PRC strategic objectives, based on victimology patterns, infrastructure choices, and activity timing that aligns with Chinese working hours (UTC+8).

The new Mustang Panda Dashboard in ThreatConnect offers security teams centralized visibility into this highly active and adaptable adversary.

Key Benefits:

  • Centralized Intelligence: Aggregates Mustang Panda-related IOCs, TTPs, malware families, and campaign telemetry from open sources, commercial feeds, and internal data.
  • Continuous Threat Tracking: Monitors real-time updates on actor infrastructure, targeting patterns, and evolving tradecraft.
  • Accelerated Incident Response: Provides enriched, contextual intelligence to reduce detection-to-response timelines.
  • Visual Reporting & Executive Insights: Interactive charts, timelines, and executive-ready dashboards support risk prioritization and communication.
  • Automated Correlation: Leverages ThreatConnect’s automation engine to map Mustang Panda indicators across intrusion sets, malware families, and victim profiles.

Mustang Panda’s consistent targeting of government, diplomatic, and maritime entities underscores the ongoing risk to sensitive political and economic interests worldwide. 

The Mustang Panda Dashboard equips defenders with the ability to visualize campaigns, correlate activity, and act decisively—directly within the ThreatConnect platform.

Note: To maximize the value of this dashboard, organizations may benefit from integration with premium threat intelligence sources such as Dataminr, Mandiant, Recorded Future, or CrowdStrike.

Lead Contributor – Travis Meyers, Customer Success Manager

To gain access to the Mustang Panda Dashboard, please connect with your Customer Success team or reach out to us through our contact form.

Further Resources

For more detailed information and resources on Salt Typhoon, please refer to the following:

Resource Description Link
MITRE As a not-for-profit organization, MITRE acts in the public interest by delivering objective, cost-effective solutions to many of the world’s biggest challenges. MITRE Article
The Hacker News THN Media Private Limited, the parent organization behind The Hacker News (THN), stands as a top and reliable source for the latest updates in cybersecurity. As an independent outlet, we offer balanced and thorough insights into the cybersecurity sector, trusted by professionals and enthusiasts alike. THN Article
Reuters Reuters is the leading global source of news coverage. We have been licensing content and information to media organizations, technology companies, governments and corporations since 1851. Reuters Article

We urge all organizations to remain vigilant and proactive in their cybersecurity efforts. By implementing these recommendations, you can significantly reduce your risk and protect your critical assets.

Mustang Panda Known Exploited Vulnerabilities

CVE ID Product Description
CVE-2025-55182 IoT / Web Apps React2Shell: Critical flaw exploited by the RondoDox botnet (associated with Mustang Panda) to compromise IoT devices.
CVE-2025-14847 MongoDB MongoBleed: Active exploitation allowing unauthenticated attackers to coerce servers into leaking sensitive memory data.
CVE-2025-9491 Windows UI LNK Bypass: Confirmed extensive exploitation by Mustang Panda to deliver PlugX via malicious shortcut files
CVE-2025-41244 VMware Tools Exploited alongside Windows flaws for privilege escalation and persistence.
CVE-2024-21893 Ivanti Connect Secure Authentication bypass used to deploy MetaRAT (PlugX variant) targeting shipping companies in Japan.
CVE-2024-0012 Palo Alto PAN-OS Exploited for authentication bypass, often leading to ransomware-like behavior or espionage.
CVE-2025-10585 Google Chrome Zero-day in the V8 engine, patched but actively exploited.
CVE-2023-4966 Citrix NetScaler Citrix Bleed: Session hijacking vulnerability used to bypass authentication.
CVE-2025-6202 DRAM (Hardware) Rowhammer Variant: Advanced hardware-level attack bypassing DDR5 protections.

The post Mustang Panda Intelligence Dashboard Immediately Available for ThreatConnect appeared first on ThreatConnect.

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The Top Threat Actor Groups Targeting the Financial Sector

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The Top Threat Actor Groups Targeting the Financial Sector

In this post, we identify and analyze the top threat actors that have been actively targeting the financial sector between 2024 and 2026.

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January 6, 2026

Between 2024 and 2026, Flashpoint analysts have observed the financial sector as a top target of threat actors, with 406 publicly disclosed victims falling prey to ransomware attacks alone—representing seven percent of all ransomware victim listings during that period.

However, ransomware is just one piece of the complex threat actor puzzle. The financial sector is also grappling with threats stemming from sophisticated Advanced Persistent Threat (APT) groups, the risks associated with third-party compromises, the illicit trade in initial access credentials, the ever-present danger of insider threats, and the emerging challenge of deepfake and impersonation fraud.

Why Finance?

The financial sector has long been one of the most attractive targets for threat actors, consistently ranking among the most targeted industries globally.

These institutions manage massive volumes of sensitive data—from high-value financial transactions and confidential customer information to vast sums of capital, making them especially lucrative for threat actors seeking financial gain. Additionally, the urgency and criticality of financial operations increases the chances that victim organizations will succumb to extortion and ransom demands.

Even beyond direct financial incentives, the financial sector remains an attractive target due to its deep interconnectivity with other industries.This means that malicious actors may simply target financial institutions to gain information about another target organization, as a single data breach can have far-reaching and cascading consequences for involved partners and third parties.

The Threat Actors Targeting the Financial Sector

To understand the complexities of the financial threat landscape, organizations need a comprehensive understanding of the key players involved. The following threat actors represent some of the most prominent and active groups targeting the financial sector between April 2024 and April 2025:

RansomHub

Despite being a relatively new Ransomware-as-a-Service (RaaS) group that emerged in February 2024, RansomHub quickly rose to prominence, becoming the second-most active ransomware group in 2024. Notably, they claimed 38 victims in the financial sector between April 2024 and April 2025. Their known TTPs include phishing and exploiting vulnerabilities. RansomHub is also known to heavily target the healthcare sector.

Akira

Active since March 2023, Akira has demonstrated increasingly sophisticated tactics and has targeted a significant number of victims across various sectors. Between April 2024 and April 2025, they targeted 34 organizations within the financial sector. Evidence suggests a potential link to the defunct Conti ransomware group. Akira commonly gains initial access through compromised credentials, Virtual Private Network (VPN) vulnerabilities, and Remote Desktop Protocol (RDP). They employ a double extortion model, exfiltrating data before encryption.

LockBit Ransomware

A long-standing and highly prolific RaaS group operating since at least September 2019, LockBit continued to be a major threat to the financial sector, claiming 29 publicly disclosed victims between April 2024 and April 2025. LockBit utilizes various initial access methods, including phishing, exploitation of known vulnerabilities, and compromised remote services.

Most notably, in June 2024, LockBit claimed it gained access to the US Federal Reserve, stating that they exfiltrated 33 TB of data. However, Flashpoint analysts found that the data posted on the Federal Reserve listing appears to belong to another victim, Evolve Bank & Trust.

FIN7

This financially motivated threat actor group, originating from Eastern Europe and active since at least 2015, focuses on stealing payment card data. They employ social engineering tactics and create elaborate infrastructure to achieve their goals, reportedly generating over $1 billion USD in revenue between 2015 and 2021. Their targets within the financial sector include interbank transfer systems (SWIFT, SAP), ATM infrastructure, and point-of-sale (POS) terminals. Initial access is often gained through phishing and exploiting public-facing applications.

Scattering Spider

Emerging in 2022, Scattered Spider has quickly become known for its rapid exploitation of compromised environments, particularly targeting financial services, cryptocurrency services, and more. They are notorious for using SMS phishing and fake Okta single sign-on pages to steal credentials and move laterally within networks. Their primary motivation is financial gain.

Lazarus Group

This advanced persistent threat (APT) group, backed by the North Korean government, has demonstrated a broad range of targets, including cryptocurrency exchanges and financial institutions. Their campaigns are driven by financial profit, cyberespionage, and sabotage. Lazarus Group employs sophisticated spear-phishing emails, malware disguised in image files, and watering-hole attacks to gain initial access.

Top Attack Vectors Facing the Financial Sector

Between April 2024 and April 2025, our analysts observed 6,406 posts pertaining to financial sector access listings within Flashpoint’s forum collections. How are these prolific threat actor groups gaining a foothold into financial data and systems? Examining Flashpoint intelligence, malicious actors are capitalizing on third-party compromises, initial access brokers, insider threats, amongst other attack vectors:

Third-Party Compromise

Ransomware attacks targeting third-party vendors can have a direct and significant impact on financial institutions through data exposure and compromised credentials. The Clop ransomware gang’s exploitation of the MOVEit vulnerability in December 2024 serves as a stark reminder of this risk.

Initial Access Brokers (IABs)

Initial Access Brokers specialize in gaining initial access to networks and selling these access credentials to other threat groups, including ransomware operators. Their tactics include phishing, the use of information-stealing malware, and exploiting RDP credentials, posing a significant risk to financial entities. Between April 2024 and April 2025, analysts observed 6,406 posts pertaining to financial sector access listings within Flashpoint’s forum collections.

Insider Threat

Malicious insiders, whether recruited or acting independently, can provide direct access to sensitive data and systems within financial institutions. Telegram has emerged as a prominent platform for advertising and recruiting insider services targeting the financial sector.

Deepfake and Impersonation

The increasing sophistication and accessibility of AI tools are enabling new forms of fraud. Deepfakes can bypass traditional security measures by creating convincing audio and video impersonations. While still evolving, this threat vector, along with other impersonation tactics like BEC and vishing, presents a growing concern for the financial sector. Within the past year, analysts observed 1,238 posts across fraud-related Telegram channels discussing impersonation of individuals working for financial institutions.

Defend Against Financial Threats Using Flashpoint

The financial sector remains a high-value target, facing a persistent and evolving array of threats. Understanding the tactics, techniques, and procedures (TTPs) of these top threat actors, as well as the broader threat landscape, is crucial for financial institutions to develop and implement effective security strategies.

Flashpoint is proud to offer a dedicated threat intelligence solution for banks and financial institutions. Our platform combines comprehensive data collection, AI-powered analysis, and expert human insight to deliver actionable intelligence, safeguarding your critical assets and operations. Request a demo today to see how our intelligence can empower your security team.

Request a demo today.

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Threat landscape for industrial automation systems in Q3 2025

Statistics across all threats

In Q3 2025, the percentage of ICS computers on which malicious objects were blocked decreased from the previous quarter by 0.4 pp to 20.1%. This is the lowest level for the observed period.

Percentage of ICS computers on which malicious objects were blocked, Q3 2022–Q3 2025

Percentage of ICS computers on which malicious objects were blocked, Q3 2022–Q3 2025

Regionally, the percentage of ICS computers on which malicious objects were blocked ranged from 9.2% in Northern Europe to 27.4% in Africa.

Regions ranked by percentage of ICS computers on which malicious objects were blocked

Regions ranked by percentage of ICS computers on which malicious objects were blocked

In Q3 2025, the percentage increased in five regions. The most notable increase occurred in East Asia, triggered by the local spread of malicious scripts in the OT infrastructure of engineering organizations and ICS integrators.

Changes in the percentage of ICS computers on which malicious objects were blocked, Q3 2025

Changes in the percentage of ICS computers on which malicious objects were blocked, Q3 2025

Selected industries

The biometrics sector traditionally led the rankings of the industries and OT infrastructures surveyed in this report in terms of the percentage of ICS computers on which malicious objects were blocked.

Rankings of industries and OT infrastructures by percentage of ICS computers on which malicious objects were blocked

Rankings of industries and OT infrastructures by percentage of ICS computers on which malicious objects were blocked

In Q3 2025, the percentage of ICS computers on which malicious objects were blocked increased in four of the seven surveyed industries. The most notable increases were in engineering and ICS integrators, and manufacturing.

Percentage of ICS computers on which malicious objects were blocked in selected industries

Percentage of ICS computers on which malicious objects were blocked in selected industries

Diversity of detected malicious objects

In Q3 2025, Kaspersky protection solutions blocked malware from 11,356 different malware families of various categories on industrial automation systems.

Percentage of ICS computers on which the activity of malicious objects of various categories was blocked

Percentage of ICS computers on which the activity of malicious objects of various categories was blocked

In Q3 2025, there was a decrease in the percentage of ICS computers on which denylisted internet resources and miners of both categories were blocked. These were the only categories that exhibited a decrease.

Main threat sources

Depending on the threat detection and blocking scenario, it is not always possible to reliably identify the source. The circumstantial evidence for a specific source can be the blocked threat’s type (category).

The internet (visiting malicious or compromised internet resources; malicious content distributed via messengers; cloud data storage and processing services and CDNs), email clients (phishing emails), and removable storage devices remain the primary sources of threats to computers in an organization’s technology infrastructure.

In Q3 2025, the percentage of ICS computers on which malicious objects from various sources were blocked decreased.

Percentage of ICS computers on which malicious objects from various sources were blocked

Percentage of ICS computers on which malicious objects from various sources were blocked

The same computer can be attacked by several categories of malware from the same source during a quarter. That computer is counted when calculating the percentage of attacked computers for each threat category, but is only counted once for the threat source (we count unique attacked computers). In addition, it is not always possible to accurately determine the initial infection attempt. Therefore, the total percentage of ICS computers on which various categories of threats from a certain source were blocked can exceed the percentage of threats from the source itself.

  • The main categories of threats from the internet blocked on ICS computers in Q3 2025 were malicious scripts and phishing pages, and denylisted internet resources. The percentage ranged from 4.57% in Northern Europe to 10.31% in Africa.
  • The main categories of threats from email clients blocked on ICS computers were malicious scripts and phishing pages, spyware, and malicious documents. Most of the spyware detected in phishing emails was delivered as a password-protected archive or a multi-layered script embedded in an office document. The percentage of ICS computers on which threats from email clients were blocked ranged from 0.78% in Russia to 6.85% in Southern Europe.
  • The main categories of threats that were blocked when removable media was connected to ICS computers were worms, viruses, and spyware. The percentage of ICS computers on which threats from this source were blocked ranged from 0.05% in Australia and New Zealand to 1.43% in Africa.
  • The main categories of threats that spread through network folders were viruses, AutoCAD malware, worms, and spyware. The percentages of ICS computers where threats from this source were blocked ranged from 0.006% in Northern Europe to 0.20% in East Asia.

Threat categories

Typical attacks blocked within an OT network are multi-step sequences of malicious activities, where each subsequent step of the attackers is aimed at increasing privileges and/or gaining access to other systems by exploiting the security problems of industrial enterprises, including technological infrastructures.

Malicious objects used for initial infection

In Q3 2025, the percentage of ICS computers on which denylisted internet resources were blocked decreased to 4.01%. This is the lowest quarterly figure since the beginning of 2022.

Percentage of ICS computers on which denylisted internet resources were blocked, Q3 2022–Q3 2025

Percentage of ICS computers on which denylisted internet resources were blocked, Q3 2022–Q3 2025

Regionally, the percentage of ICS computers on which denylisted internet resources were blocked ranged from 2.35% in Australia and New Zealand to 4.96% in Africa. Southeast Asia and South Asia were also among the top three regions for this indicator.

The percentage of ICS computers on which malicious documents were blocked has grown for three consecutive quarters, following a decline at the end of 2024. In Q3 2025, it reached 1,98%.

Percentage of ICS computers on which malicious documents were blocked, Q3 2022–Q3 2025

Percentage of ICS computers on which malicious documents were blocked, Q3 2022–Q3 2025

The indicator increased in four regions: South America, East Asia, Southeast Asia, and Australia and New Zealand. South America saw the largest increase as a result of a large-scale phishing campaign in which attackers used new exploits for an old vulnerability (CVE-2017-11882) in Microsoft Office Equation Editor to deliver various spyware to victims’ computers. It is noteworthy that the attackers in this phishing campaign used localized Spanish-language emails disguised as business correspondence.

In Q3 2025, the percentage of ICS computers on which malicious scripts and phishing pages were blocked increased to 6.79%. This category led the rankings of threat categories in terms of the percentage of ICS computers on which they were blocked.

Percentage of ICS computers on which malicious scripts and phishing pages were blocked, Q3 2022–Q3 2025

Percentage of ICS computers on which malicious scripts and phishing pages were blocked, Q3 2022–Q3 2025

Regionally, the percentage of ICS computers on which malicious scripts and phishing pages were blocked ranged from 2.57% in Northern Europe to 9.41% in Africa. The top three regions for this indicator were Africa, East Asia, and South America. The indicator increased the most in East Asia (by a dramatic 5.23 pp) as a result of the local spread of malicious spyware scripts loaded into the memory of popular torrent clients including MediaGet.

Next-stage malware

Malicious objects used to initially infect computers deliver next-stage malware — spyware, ransomware, and miners — to victims’ computers. As a rule, the higher the percentage of ICS computers on which the initial infection malware is blocked, the higher the percentage for next-stage malware.
In Q3 2025, the percentage of ICS computers on which spyware and ransomware were blocked increased. The rates were:

  • spyware: 4.04% (up 0.20 pp);
  • ransomware: 0.17% (up 0.03 pp).

The percentage of ICS computers on which miners of both categories were blocked decreased. The rates were:

  • miners in the form of executable files for Windows: 0.57% (down 0.06 pp), it’s the lowest level since Q3 2022;
  • web miners: 0.25% (down 0.05 pp). This is the lowest level since Q3 2022.

Self-propagating malware

Self-propagating malware (worms and viruses) is a category unto itself. Worms and virus-infected files were originally used for initial infection, but as botnet functionality evolved, they took on next-stage characteristics.

To spread across ICS networks, viruses and worms rely on removable media and network folders in the form of infected files, such as archives with backups, office documents, pirated games and hacked applications. In rarer and more dangerous cases, web pages with network equipment settings, as well as files stored in internal document management systems, product lifecycle management (PLM) systems, resource management (ERP) systems and other web services are infected.

In Q3 2025, the percentage of ICS computers on which worms and viruses were blocked increased to 1.26% (by 0.04 pp) and 1.40% (by 0.11 pp), respectively.

AutoCAD malware

This category of malware can spread in a variety of ways, so it does not belong to a specific group.

In Q3 2025, the percentage of ICS computers on which AutoCAD malware was blocked slightly increased to 0.30% (by 0.01 pp).

For more information on industrial threats see the full version of the report.

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Flashpoint’s Top 5 Predictions for the 2026 Threat Landscape

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Flashpoint’s Top 5 Predictions for the 2026 Threat Landscape

Flashpoint’s forward-looking threat insights for security and executive teams, provides the strategic foresight needed to prepare for the convergence of AI, identity, and physical security threats in 2026.

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December 2, 2025

As the global threat landscape accelerates its transformation, 2026 marks an inflection point requiring defensive strategies to fundamentally shift. The volatility observed in 2025 has paved the way for an era soon to be defined by AI-weaponized autonomy, information-stealing malware, systemic instability of public vulnerability systems, and the complete convergence of digital and physical risk.

Flashpoint offers a unique window into these complexities, providing organizations with the foresight needed to navigate what lies ahead. Drawing from Flashpoint’s leading intelligence and primary source collections, we highlight five key trends shaping the 2026 threat landscape. These insights aim to help organizations not only understand what’s next but also build the resilience needed to withstand and adapt to emerging challenges.

Prediction 1: Agentic AI Threats Will Weaponize Autonomy, Forcing a New Defensive Standard

2026 will see continued evolution of AI threats, with future attacks centering on autonomy and integration. Across the deep and dark web, Flashpoint is observing threat actors move past experimentation and into operational use of illegal AI. 

As attackers train custom fraud-tuned LLMs (Large Language Models) and multilingual phishing tools directly on illicit data, these AI models will become more capable. The criminal intent shaping their misuse will also become more sophisticated. Additionally, 2026 will see a greater marketplace for paid jailbreaking communities and synthetic media kits for KYC (Know Your Customer) bypass.

These advancements are enabling criminals to move beyond simple tools and engage in scaled, autonomous fraud operations, leading to two major shifts:

  1. Agentic AI is becoming the true flashpoint: Threat actors will be using agentic systems to automate reconnaissance, generate synthetic identities, and iterate on fraud playbooks in near real-time. In this SaaS ecosystem, AI will help attackers leverage subscription tiers and customer feedback loops at scale.
  2. The attack surface will shift to focus on AI Integrations: Organizations are increasingly plugging LLMs into live data streams, internal tools, identity systems, and autonomous agents. This practice often lacks the same security vetting, access controls, and monitoring applied to other enterprise systems. As such, attackers will heavily target these integrations, such as APIs, plugins, and system connections, rather than the models themselves.

The ubiquity of automation has dramatically increased attack tempo, leaving many security teams behind the curve. While automation can replace repetitive tasks across the enterprise, organizations must not make the critical mistake of substituting human judgement for AI at the intelligence level.

This is paramount because a critical threat in 2026 is Agentic AI autonomy weaponized against soft targets—API integrations and identity systems. The only winning defense will be human-led and AI-scaled, prioritizing purposeful use to keep organizations ahead of this exponential risk.

Josh Lefkowitz, CEO at Flashpoint

These evolving AI threats will force a fundamental shift in defensive strategies. Defenders will have to shift to deploying systems around AI rather than trust them on their own.

Prediction 2: Identity Compromise via Infostealers Will Become the Foundation of Every Attack

Infostealers will become the entry point, the data broker, the reconnaissance layer, and the fuel for everything that comes after a cyberattack. This shift is already in motion and is accelerating rapidly: in just the first half of 2025, infostealers were responsible for 1.8 billion stolen credentials, an 800% spike from the start of the year. However, 2026 will redefine the malware’s role, making its most valuable output being access, rather than disruption.

Infostealers will become the upstream event that powers the rest of the attack chain. Identity and session data will be increasingly targeted, since it gives attackers immediate access into victim environments. Ransomware, fraud, data theft, and extortion will simply be downstream ways to monetize.

This upstream approach defines the new reality of the attack chain, which is already operational. Nearly every major stealer strain Flashpoint observes now exfiltrates the following:

  • Autofill PII (personable identifiable information)
  • Saved addresses
  • Phone numbers
  • Internal URLs
  • Browsing history
  • Cloud app tokens

An organization’s attack surface is no longer just composed of their own networks. It is the entire digital identity of their employees and partners. This new reality requires security teams to take a new approach. Instead of attempting to block attacks, they must proactively detect compromised credentials before they are weaponized. This will be the difference between reacting to a data breach and preventing one.

The infostealer economy has fully industrialized the attack chain, making initial compromise a low-cost commodity. Multiple security incidents in 2025 tie back to credentials found in infostealer logs. This reality has underscored the critical importance of digital trust—specifically, verifying who can access what resources. For 2026, identity is the perimeter to watch, and security teams must proactively hunt for compromised credentials before they’re weaponized.

Ian Gray, Vice President of Intelligence at Flashpoint

Prediction 3: CVE Volatility Will Force Redundancy in Vulnerability Intelligence

The temporary funding crisis at CVE in April 2025 and the subsequent CISA stopgap extension through March 2026 exposed the systemic fragility of a centralized vulnerability intelligence model. With the future of the CVE/NVD system hanging in the balance, 2026 will be defined by the urgent need for redundancy and diversification in vulnerability intelligence.

In today’s vulnerability intelligence ecosystem, nearly every organization’s vulnerability management framework relies on CVE and NVD—including its “alternatives” such as the EUVD (European Union Vulnerability Database). The CVE system has grown into a critical global cybersecurity utility, relied upon by nearly all vulnerability scanners, SIEM platforms, patch management tools, threat intelligence feeds, and compliance reports. A complete shutdown of CVE would result in a widespread loss of institutional infrastructure.

The next generation of security needs to be built on practices that are resilient, diversified, and intelligence-driven. It should be focused on providing insights that can be used to take action such as threat actor behavior, likelihood of exploitation in the wild, relevance to ransomware campaigns, and business context. Security teams will need to leverage a comprehensive source of vulnerability intelligence such as Flashpoint’s VulnDB that provides full coverage for CVE, while also cataloging more than 100,000 vulnerabilities missed by CVE and NVD.

Prediction 4: Executive Protection Will Remain a Critical Challenge as Cyber-Physical Threats Converge

The continued blurring of lines between cyber, physical, and geopolitical threats will elevate the risk to organizational leadership, turning executive protection into a holistic intelligence function in 2026. The rise of information warfare combined with physical world convergence means the threat to key personnel is no longer purely digital.

In the aftermath of the tragic December 2024 assassination of United Healthcare’s CEO, Flashpoint has seen the continued circulation and glorification of “wanted-style posters” of executives in extremist communities. Additionally, Flashpoint has seen nation-state actors participate, using espionage and influence to target high-value individuals.
Organizations must adopt an integrated approach that connects insights from threat actor chatter and a wealth of other OSINT sources. This fusion of intelligence is essential for applying frameworks to ensure the safety of leadership and key personnel.

Prediction 5: Extortion Shifts to Identity-Based Supply Chain Risk

2025 was marked by several large-scale extortion campaigns, demonstrating how the threat landscape is rapidly evolving. Ransomware operations have shifted into a straight extortion play. Flashpoint has observed a surge in new entrants to the ransomware market, accompanied by a decline in the quality and decorum of ransomware groups.

Furthermore, vishing campaigns attributed to “Scattered Spider” have highlighted weaknesses in identity, trust, and verification. Campaigns from “Scattered LAPSUS$ Hunters” have also exposed vulnerabilities in third-party integrations. These attacks culminated in extortion, showcasing that modern attacks will target trusted users and trusted applications for initial access, and will forgo ransomware in place of data access.

As this shift continues into 2026, threat actors will increasingly focus their efforts on exploiting human behavior and identity systems. Instead of attempting to spend resources on breaking network perimeters, attackers will instead socially engineer employees to gain access to corporate systems at scale. This change in TTPs will undoubtedly greatly increase supply chain risk, especially for third parties.

Charting a Path Through an Evolving Threat Landscape with Flashpoint Intelligence

These five predictions highlight the transformative trends shaping the future of cybersecurity and threat intelligence. Staying ahead of these challenges demands more than just reactive measures—it requires actionable intelligence, strategic foresight, and cross-sector collaboration. By embracing these principles and investing in proactive security strategies, organizations can not only mitigate risks but also seize opportunities to enhance their resilience.

As the threat landscape continues to rapidly evolve, staying informed and prepared are critical components of risk mitigation. With the right tools, insights, and partnerships, security teams can navigate the complexities ahead and safeguard what matters most.

Request a demo.

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Anatomy of an Akira Ransomware Attack: When a Fake CAPTCHA Led to 42 Days of Compromise

Unit 42 outlines a Howling Scorpius attack delivering Akira ransomware that originated from a fake CAPTCHA and led to a 42-day compromise.

The post Anatomy of an Akira Ransomware Attack: When a Fake CAPTCHA Led to 42 Days of Compromise appeared first on Unit 42.

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The Seven Phases of a Ransomware Attack: A Step-by-Step Breakdown of the Attack Lifecycle

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The Seven Phases of a Ransomware Attack: A Step-by-Step Breakdown of the Attack Lifecycle

Understanding the anatomy of a ransomware attack empowers security teams to strengthen defenses, reduce the risk of successful attacks, and protect organizations from the serious consequences of a ransomware incident

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July 10, 2023

Ransomware attacks are pervasive and devastating, targeting organizations and causing havoc on operations, finances, and reputation. To defend against these threats, security teams must understand the ransomware attack lifecycle.

The 7 Phases:
The 7 phases of a ransomware attack include: 1) Recon & target selection 2) Initial access 3) Lateral movement and privilege escalation 4) Deployment of ransomware 5) Encryption & impact 6) Extortion and communication and 7) Recovery & mitigation.

As reliance on digital systems and networks increases, the risk of ransomware attacks grows exponentially. These attacks can cripple businesses, disrupt services, compromise data, and lead to significant financial losses. Cybercriminals continually evolve their tactics, demanding constant adaptation from security teams.

In this blog, we will explore the intricacies of ransomware, breaking down the attack lifecycle. Understanding this anatomy empowers security teams to strengthen defenses, reduce the risk of successful attacks, and protect organizations from the serious consequences of a ransomware incident.

Flashpoint’s threat intelligence solution can help proactively secure your organization against ransomware attacks—to see how schedule a demo today.

Phase 1: Reconnaissance and target selection

Phase 1 of a ransomware attack involves the threat actor researching and selecting organizations to attack. During this phase, threat actors identify potential targets and gather critical information about them.

Identifying potential targets

Threat actors engage in reconnaissance to identify organizations that are more likely to yield a high return on their malicious activities. They carefully assess factors such as the industry, size, financial stability, and the value of the data held by the potential targets. Organizations that heavily rely on their digital infrastructure and are more likely to pay a ransom to regain access to critical systems and data are prime targets.

Techniques used for reconnaissance

Threat actors employ various techniques to gather information during the reconnaissance phase. These techniques may include passive reconnaissance, where they collect publicly available data from websites, social media platforms, and professional networking sites. They may also utilize active reconnaissance, such as scanning for open ports and vulnerabilities, conducting phishing campaigns to gather employee information, or leveraging third-party sources like leaked databases and dark web forums.

Vulnerability factors

Several factors can make organizations more vulnerable to targeting during the reconnaissance phase: 

  • Lack of Security Awareness: Organizations that do not prioritize cybersecurity awareness and training for their employees may inadvertently provide attackers with valuable information through social engineering tactics.
  • Inadequate Patch Management: Failure to promptly apply software patches and updates leaves systems vulnerable to known vulnerabilities that threat actors can exploit.
  • Weak Access Controls: Poorly managed user accounts, weak passwords, and insufficient access controls increase the likelihood of unauthorized access to sensitive systems and data.
  • Absence of Network Segmentation: If an organization’s network lacks proper segmentation, a successful initial access point can provide attackers with the opportunity to move laterally within the network and escalate privileges.
  • Lack of Monitoring and Detection: Organizations that lack robust monitoring and detection capabilities may not notice the initial signs of a reconnaissance attempt, allowing threat actors to proceed undetected.

Phase 2: Initial access

Phase 2 of a ransomware attack is the critical stage where threat actors strive to gain initial access to an organization’s network and systems.

During this stage, threat actors employ a range of techniques to achieve initial access, including:

  • Phishing Emails: One of the most common and successful methods, threat actors craft convincing emails designed to deceive recipients into clicking on malicious links or opening infected attachments.
  • Exploit Kits: These toolkits contain prepackaged exploits that target vulnerabilities in software, commonly used web browsers, or plugins. By visiting compromised websites, unsuspecting users can unwittingly trigger the exploit kit and grant the attacker initial access.
  • Vulnerable Software: Exploiting weaknesses in software, particularly outdated or unpatched applications, is another avenue threat actors may exploit to gain a foothold within an organization’s network. This was recently observed through CLOP’s use of the MOVEit and GoAnywhere MFT vulnerabilities to attack over 100 organizations globally.
VulnDB’s vulnerability intelligence record highlighting the severity and importance of the MOVEit vulnerability.

Social engineering tactics play a significant role in the success of initial access attempts. Threat actors exploit human psychology to deceive individuals and gain access to sensitive information or systems.

Pretexting, where a false scenario or pretext is created to gain the target’s trust, and baiting, which offers enticing rewards or incentives, are common social engineering tactics used to manipulate individuals. Moreover, tailgating—or taking advantage of individuals holding doors open for others—can be used to gain unauthorized physical access to secure areas within an organization.

Phase 3: Lateral movement and privilege escalation

Once threat actors have gained initial access to an organization’s network and systems, they proceed to Phase 3 of a ransomware attack: lateral movement and privilege escalation. 

This stage involves the navigation and expansion of their reach within the compromised network. Threat actors explore the compromised network to locate valuable data, critical systems, and potential targets for encryption.

They employ lateral movement, traversing through the network to gain control over multiple machines, servers, or devices, which increases the likelihood of finding and encrypting valuable information while making it challenging for defenders to contain the attack.

Threat actors may use several techniques to achieve lateral movement.

  • Exploiting Misconfigurations: They take advantage of misconfigured network shares, weak or shared passwords, and unsecured remote desktop protocols (RDP) to gain unauthorized access to other systems within the network.
  • Credential Theft and Reuse: They employ various tactics to steal or acquire legitimate user credentials, such as using keyloggers, credential harvesting, or compromising administrative accounts. These stolen credentials are then reused to move laterally within the network.
  • Pass-the-Hash: This technique involves stealing hashed credentials from compromised systems and using them to authenticate and gain access to other systems without needing to know the plaintext passwords.

Once within the network, threat actors seek to escalate their privileges. By elevating their access rights, they gain increased control over critical systems and can maneuver more freely within the network. Privilege escalation techniques may include:

  • Exploiting Vulnerabilities: They identify vulnerabilities in software, operating systems, or network configurations that can be leveraged to elevate their privileges. This may involve exploiting unpatched systems or misconfigured permissions.
  • Leveraging Stolen Credentials: If threat actors have successfully stolen credentials during the initial access phase, they can use these credentials to escalate their privileges within the network, gaining administrative or higher-level access.
  • Abusing Trusted Applications or Services: They manipulate trusted applications or services that have higher privileges or access rights to gain elevated permissions within the network.

It is important to note that lateral movement and privilege escalation are not necessarily linear processes. Threat actors adapt their tactics based on the network’s topology, security measures, and available targets, maneuvering opportunistically within the network.

Phase 4: Deployment of ransomware payload

In Phase 4 of a ransomware attack, threat actors execute their ultimate objective: deploying the ransomware payload. This phase involves the encryption of the victim’s files and the subsequent demand for a ransom payment.

Ransomware comes in various forms, each with its own characteristics and objectives. Some common types include:

  • Encryption Ransomware: This type of ransomware encrypts the victim’s files, rendering them inaccessible until a decryption key is obtained by paying the ransom. Examples include notorious strains like WannaCry and Ryuk.
  • Locker Ransomware: Locker ransomware locks the victim out of their system or specific applications, denying access to the device or critical functionalities. It often displays a ransom message directly on the victim’s screen, demanding payment to regain access.
  • Hybrid Ransomware: Hybrid ransomware combines elements of both encrypting and locker ransomware. It encrypts files while simultaneously locking the victim out of the system, amplifying the impact and urgency of the attack.

To deploy the ransomware payload effectively, threat actors may leverage various techniques including:

  • Email Attachments and Links: Malicious attachments or links embedded within phishing emails are a common delivery method for ransomware. Opening the attachment or clicking on the link initiates the download and execution of the ransomware payload.
  • Drive-by Downloads: By visiting compromised or malicious websites, victims unknowingly trigger the download and execution of ransomware through vulnerabilities in their web browsers or plugins.
  • Exploit Kits: Exploit kits can exploit vulnerabilities in software or operating systems to deliver ransomware onto the victim’s system. The kits automatically detect and target vulnerabilities, enabling threat actors to distribute the ransomware payload more efficiently.

Ransomware-as-a-Service (RaaS) and its role in the attack lifecycle

Ransomware-as-a-Service (RaaS) has emerged as a significant contributor to the proliferation of ransomware attacks. RaaS allows less technically skilled threat actors to access ransomware tools and infrastructure developed by more sophisticated actors. It operates on a profit-sharing model, where the developers take a percentage of the ransom payments. RaaS lowers the barrier to entry for cybercriminals, enabling the widespread distribution and execution of ransomware attacks.

Recommended Reading: The History and Evolution of Ransomware Attacks

RaaS platforms provide aspiring threat actors with user-friendly interfaces, technical support, and even customer service. They often offer customization options, allowing attackers to tailor the ransomware to their specific targets. The availability of RaaS has led to a surge in ransomware attacks globally, as it empowers a wider range of cybercriminals to participate in these lucrative campaigns.

Flashpoint’s monthly ransomware infographic highlighting the most prevalent groups, industries, and nations involved in ransomware events.

Phase 5: Encryption and impact

The true consequences of the attack begin to unfold during the encryption and impact phase. During this phase, threat actors encrypt the victim’s files and inflict significant damage on their systems. 

Ransomware employs sophisticated encryption algorithms to lock the victim’s files, rendering them inaccessible without the decryption key. The encryption process typically targets a wide range of file types, including documents, images, videos, databases, and more. Threat actors often use strong encryption algorithms like RSA or AES to ensure the victim cannot decrypt the files without the decryption key.

As the encryption process unfolds, the victim’s files become unusable, with each file typically receiving a unique encryption key. The ransomware may also overwrite or modify the original file, making recovery without the decryption key even more challenging. The impact on the victim’s systems can be severe, leading to operational disruption, data loss, financial consequences, and reputational damage.

The consequences of a successful ransomware attack can be devastating for both organizations and individuals, and often entails many of the following:

  • Operational Disruption: Ransomware attacks can cripple an organization’s operations, causing significant disruptions and downtime. Critical systems may become inaccessible, leading to productivity losses, delayed services, and financial repercussions.
  • Data Loss and Corruption: If proper backups are not in place, victims may lose access to their valuable data permanently. Ransomware may also corrupt files during the encryption process, making recovery even more challenging.
  • Financial Losses: Organizations may face substantial financial losses due to ransom payments, costs associated with recovery and remediation efforts, and potential regulatory penalties. Moreover, there may be indirect financial impacts stemming from reputational damage and customer loss.
  • Reputational Damage: Publicly disclosed ransomware attacks can tarnish an organization’s reputation. Clients, partners, and stakeholders may lose trust in the organization’s ability to protect sensitive information, leading to a loss of business opportunities and customer confidence.
  • Legal and Regulatory Ramifications: Depending on the nature of the compromised data, organizations may face legal and regulatory consequences, especially if personal or sensitive information is involved. Violations of data protection regulations can result in significant fines and legal liabilities.

Phase 6: Extortion and communication

In Phase 6 of a ransomware attack, threat actors establish communication with their victims and begin the process of extortion. At this time, they’ll demand ransom payments in exchange for providing the decryption keys or access to the victim’s systems. 

During this phase, threat actors initiate contact with the victim to convey their demands and establish a line of communication. They often use anonymizing technologies, such as the Tor network, to mask their identities and make it difficult to trace their activities. Communication can occur through various channels, including email, instant messaging platforms, or even dedicated ransom negotiation portals set up by the attackers.

Threat actors employ different methods to demand ransom payments from their victims. These may include:

  • Bitcoin or Cryptocurrency Payments: Threat actors typically demand ransom payments in cryptocurrencies, such as Bitcoin, due to the pseudonymous and decentralized nature of these currencies, which makes them difficult to trace.
  • Payment Deadlines and Threats: Threat actors often impose strict deadlines for payment, accompanied by threats of permanently deleting the decryption keys or increasing the ransom amount if the deadline is not met. These tactics aim to pressure victims into complying with their demands.
  • Proof of Data Exfiltration: In some cases, threat actors may claim to have exfiltrated sensitive data from the victim’s systems and threaten to publicly release it unless the ransom is paid. This adds an additional layer of pressure and urgency for victims to comply.

Engaging or not engaging with threat actors during the extortion phase raises legal and ethical considerations. Organizations must carefully evaluate their options:

  • Legal Considerations: Paying the ransom may be illegal in some jurisdictions or against organizational policies. Additionally, organizations may have legal obligations to report the incident, particularly if personal or sensitive data has been compromised.
  • Funding Criminal Activities: Paying the ransom may contribute to funding further criminal activities, as the money can be used to finance future attacks. Supporting cybercriminals through ransom payments perpetuates the ransomware ecosystem.
  • No Guarantee of Decryption: There is no guarantee that threat actors will provide the decryption keys or restore access to the victim’s systems even after the ransom is paid. Organizations must consider the risk of paying the ransom and not receiving the promised outcome.
  • Cyber Insurance Coverage: Organizations with cyber insurance policies should consult with their insurance providers regarding their coverage and the implications of paying the ransom.

It is crucial for organizations to consult legal counsel, law enforcement agencies, and experienced incident response professionals before making any decisions regarding ransom payment. Each situation is unique, and a thorough evaluation of the risks, legal obligations, and ethical considerations is necessary.

Phase 7: Recovery and mitigation

The recovery and mitigation phase of an attack is where organizations focus on restoring systems, recovering encrypted data, and implementing measures to prevent future attacks.

Recovering from a ransomware attack requires a systematic approach. Key strategies for recovering encrypted data and restoring systems include:

  • Isolate and Contain: Immediately isolate the affected systems to prevent further spread of the ransomware. Disconnect compromised devices from the network and shut them down to mitigate the risk of re-infection.
  • Incident Analysis: Conduct a thorough analysis of the incident to identify the ransomware variant, its impact, and the compromised systems. This analysis can help determine the appropriate recovery strategy.
  • Data Restoration: If backups are available, restore data from clean and secure backups. It is crucial to ensure backups are offline or properly protected to prevent them from being compromised by the ransomware.
  • Decrypting Data: In some cases, decryption tools may be available from trusted sources, such as law enforcement agencies or security companies. These tools can help decrypt files without paying the ransom. However, this is not always possible, depending on the specific ransomware variant.
  • System Rebuilding: In situations where data restoration is not feasible or backups are unavailable, organizations may need to rebuild affected systems from scratch using known good configurations and software.

Effectively responding to ransomware incidents requires a well-defined incident response plan, and may include some of these best practices:

  • Incident Response Plan: Develop a comprehensive incident response plan that outlines the steps to be taken in the event of a ransomware attack. This plan should include roles and responsibilities, communication protocols, and predefined actions for different scenarios.
  • Rapid Response: Ensure you have the alerting capabilities to act swiftly and decisively to contain the attack, isolate affected systems, and initiate the recovery process. Promptly engage internal IT teams, incident response experts, and relevant stakeholders.
  • Communication and Notification: Establish clear lines of communication both internally and externally. Notify appropriate personnel, such as legal, PR, and executive teams, and consider legal and regulatory obligations for disclosing incidents involving compromised data.
  • Forensic Investigation: Conduct a thorough forensic investigation to understand the root cause, identify the attack vector, and collect evidence for potential legal actions or future prevention measures.
  • Employee Awareness and Training: Continuously educate employees about the risks of ransomware, phishing, and social engineering. Regularly train staff on cybersecurity best practices, including strong password management, recognizing suspicious emails, and reporting incidents promptly.

Prevention is key in mitigating future ransomware attacks. Implementing proactive security measures can significantly reduce the risk and impact of such incidents. Consider these important measures:

  • Patch Management: Regularly apply security patches and updates to operating systems, software, and firmware to address known vulnerabilities that threat actors often exploit.
  • Endpoint Protection: Deploy robust antivirus and anti-malware solutions, along with advanced endpoint detection and response (EDR) tools to detect and block malicious activities.
  • Network Segmentation: Implement network segmentation to restrict lateral movement and contain the impact of an attack. Separating critical systems from the rest of the network helps prevent the rapid spread of ransomware.
  • Least Privilege Access: Enforce the principle of least privilege, granting users only the necessary access rights required to perform their duties. This minimizes the potential damage that can be caused by compromised accounts.
  • Regular Data Backups: Maintain regular, encrypted, and secure offline backups of critical data. Regularly test the restoration process to ensure backups are viable for recovery in the event of a ransomware incident.

Know your enemy

Ransomware attacks continue to evolve, becoming more sophisticated and widespread. Threat actors adapt their tactics, techniques, and tools to exploit vulnerabilities and maximize their financial gain. As such, ongoing vigilance and adaptation are essential.

But at each stage of a ransomware attack, robust threat intelligence can stop an emerging risk in its tracks and minimize—or even prevent—damage to your organization.

An effective threat intelligence program enables you to understand threat actors and their TTPs each step of the way. Critical capabilities for your threat intelligence program include:

  • Vulnerability intelligence that gives practitioners access to real-time, comprehensive information so that they can understand the scope of the incident and develop effective response strategies to make faster, informed decisions and mitigate the attack. 
  • A robust alerting system that allows security practitioners o set up customizable, automated ransomware alerts of leaked assets as a result of an extortion incident, and gain insight into the extent of exposure and damage. 
  • Real-time and continuous data collection that includes background and assessments of the vulnerability, status updates with timelines, known victims, change logs, and intelligence that contributes to a more holistic understanding of a risk and informs decision-making.
  • managed attribution solution that allows intelligence teams to shift from defense to offense by enabling security teams to safely and anonymously conduct investigations.
  • Robust risk management practices and incident response plans in place in order to respond effectively and recover from security breaches.
Flashpoint’s ransomware dashboard provides an up-to-date, easy-to-consume view of global ransomware trends, victims, as well as the ransomware groups themselves.

To learn more about how Flashpoint empowers security teams to prevent and respond to ransomware attacks, begin a free trial, or watch this video to discover the top ways to prevent an attack at your organization.

Request a demo today.

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