A cybercrime campaign combined a loader-as-a-service framework and DLL sideloading via a Go-compiled fake MpClient.dll, a novel evasion layer combination.
The post Vidar Stealer Unmasked: Code Signing Abuse, Go Loaders and File Inflation appeared first on Unit 42.
Since late 2025, malware has been spreading rapidly through the Steam Workshop, the gaming platform’s built-in service for players to create and share custom content. The attackers are primarily targeting gamers in China and Russia, aiming to hijack their accounts. To pull this off, they are exploiting Wallpaper Engine – a popular live wallpaper app available on Steam – specifically leveraging its Workshop sharing feature. The malware is hidden inside the wallpaper packages users share with one another. Running one of these compromised wallpapers can lead to a stolen Steam account or leave the victim’s system infected with backdoors or crypto miners.
Wallpaper Engine is an app that allows you to put animated wallpapers on your desktop. It’s available for both Windows and Android, though our investigation focused strictly on the Windows version. Thanks to a massive Steam community, the app is quite popular, boasting around 100,000 daily active users and nearly a million reviews. It comes with a built-in editor so users can create their own designs, and it supports a few different wallpaper types:
That last type, application wallpapers, is where things get risky, because these are essentially standalone programs. They can be anything from mini-games you play right on your desktop, to planners, calendars, system monitors, or widgets tracking your CPU or GPU usage.
The whole concept of “application wallpapers” essentially allows foreign code to be run directly on your computer. Cybercriminals took note of this feature and started embedding malware right into these types of wallpapers. Because Wallpaper Engine relies on Steam Workshop for content sharing, anyone can create a wallpaper and publish it for the community to download and install for free. Naturally, this setup is a magnet for bad actors.
We discovered dozens of these malicious application wallpapers floating around Steam Workshop, and each one had already been downloaded thousands – or even tens of thousands – of times.
When we analyzed them, we caught two different methods the attackers were using to spread their malware:
Main screen of the wallpaper application
On the surface, this wallpaper sample (above) we uncovered in December 2025 looks completely harmless. Once launched, there’s absolutely nothing to trigger your suspicion. The built-in game boots up flawlessly, runs smoothly, and the desktop controls work exactly as they should. But behind the scenes, a full-blown infection is underway. Within just a few minutes, a user might suddenly realize their Steam account has been hijacked, or find their computer crippled by malware, with their files being encrypted by ransomware or their system performance tanking because of a hidden crypto miner.
How the malware deploys
Once the game wallpaper launches, it drops a backdoor file called Synaptics.exe (part of the DarkKomet malware family) straight into the victim’s system. At the same time, an executable named ._cache_GAME1.exe fires up to boot the actual game, NTRaholic.
But that ._cache_GAME1.exe module is doing double duty. It simultaneously installs a custom version of a system library called AggregatorHost.dll with a payload inside. This modified library has one main objective: track down the Steam app on the computer and hunt for account credentials.
Looking for the Steam app
Next, the modified library hijacks the user’s live Steam session.
Hijacking the Steam session
After that, the compromised AggregatorHost.dll sends all the collected data to a server controlled by the hackers at hxxp://120.48.156[.]17/ey.php. Once the attackers have control of that active session, they can use the victim’s account to upload even more malicious wallpapers to Steam Workshop.
The game wallpaper described above is just one flavor of the many variations we uncovered during our research. By weaponizing the application wallpaper feature, bad actors have successfully distributed almost every type of malware under the sun – from popular infostealers and backdoors to crypto miners and botnet loaders.
Because the range of tools being used is so diverse, we suspect this isn’t the work of a single mastermind. Instead, it looks like multiple scattered, independent hacking groups are all jumping on the same trend. Right now, the primary targets are gamers in China. The wallpaper art styles and titles are tailored specifically to them, and the data backs it up: our security systems caught a staggering 89% of the malicious download attempts happening right there. That said, there’s absolutely nothing stopping these attackers from pivoting and launching a similar campaign in any other part of the world. Russia comes in second place for total downloads at 5.5%, followed by a smattering of other countries and territories: Singapore (1.4%), Hong Kong (0.9%), Germany (0.9%), Vietnam (0.9%), India (0.5%), and Canada (0.5%).
Malicious app wallpaper downloads by region
Our investigation proves that even trusted platforms like the Steam Workshop aren’t completely safe from malware. In most cases, we caught old, familiar threats such as DarkKomet, the Lumma and Vidar infostealers, and the RenEngine loader. Kaspersky solutions can easily spot and block all of these payloads, no matter how clever the packaging is, thanks to our proactive security layers. Here are some of the specific threat detection verdicts assigned to the objects we discovered during our research:
By the time this post went live, the Steam team had already scrubbed the identified malicious wallpapers and links from the platform. However, given how frequently new infected wallpapers keep popping up on the Steam Workshop, you shouldn’t rely on Steam to catch everything. It’s highly recommended to run an antivirus scan on these types of wallpapers before you actually apply them.
MD5
C2 servers
Malicious wallpapers
We have since confirmed that the malicious wallpapers were present in the app as early as August 2025.
Since late 2025, malware has been spreading rapidly through the Steam Workshop, the gaming platform’s built-in service for players to create and share custom content. The attackers are primarily targeting gamers in China and Russia, aiming to hijack their accounts. To pull this off, they are exploiting Wallpaper Engine – a popular live wallpaper app available on Steam – specifically leveraging its Workshop sharing feature. The malware is hidden inside the wallpaper packages users share with one another. Running one of these compromised wallpapers can lead to a stolen Steam account or leave the victim’s system infected with backdoors or crypto miners.
Wallpaper Engine is an app that allows you to put animated wallpapers on your desktop. It’s available for both Windows and Android, though our investigation focused strictly on the Windows version. Thanks to a massive Steam community, the app is quite popular, boasting around 100,000 daily active users and nearly a million reviews. It comes with a built-in editor so users can create their own designs, and it supports a few different wallpaper types:
That last type, application wallpapers, is where things get risky, because these are essentially standalone programs. They can be anything from mini-games you play right on your desktop, to planners, calendars, system monitors, or widgets tracking your CPU or GPU usage.
The whole concept of “application wallpapers” essentially allows foreign code to be run directly on your computer. Cybercriminals took note of this feature and started embedding malware right into these types of wallpapers. Because Wallpaper Engine relies on Steam Workshop for content sharing, anyone can create a wallpaper and publish it for the community to download and install for free. Naturally, this setup is a magnet for bad actors.
We discovered dozens of these malicious application wallpapers floating around Steam Workshop, and each one had already been downloaded thousands – or even tens of thousands – of times.
When we analyzed them, we caught two different methods the attackers were using to spread their malware:
Main screen of the wallpaper application
On the surface, this wallpaper sample (above) we uncovered in December 2025 looks completely harmless. Once launched, there’s absolutely nothing to trigger your suspicion. The built-in game boots up flawlessly, runs smoothly, and the desktop controls work exactly as they should. But behind the scenes, a full-blown infection is underway. Within just a few minutes, a user might suddenly realize their Steam account has been hijacked, or find their computer crippled by malware, with their files being encrypted by ransomware or their system performance tanking because of a hidden crypto miner.
How the malware deploys
Once the game wallpaper launches, it drops a backdoor file called Synaptics.exe (part of the DarkKomet malware family) straight into the victim’s system. At the same time, an executable named ._cache_GAME1.exe fires up to boot the actual game, NTRaholic.
But that ._cache_GAME1.exe module is doing double duty. It simultaneously installs a custom version of a system library called AggregatorHost.dll with a payload inside. This modified library has one main objective: track down the Steam app on the computer and hunt for account credentials.
Looking for the Steam app
Next, the modified library hijacks the user’s live Steam session.
Hijacking the Steam session
After that, the compromised AggregatorHost.dll sends all the collected data to a server controlled by the hackers at hxxp://120.48.156[.]17/ey.php. Once the attackers have control of that active session, they can use the victim’s account to upload even more malicious wallpapers to Steam Workshop.
The game wallpaper described above is just one flavor of the many variations we uncovered during our research. By weaponizing the application wallpaper feature, bad actors have successfully distributed almost every type of malware under the sun – from popular infostealers and backdoors to crypto miners and botnet loaders.
Because the range of tools being used is so diverse, we suspect this isn’t the work of a single mastermind. Instead, it looks like multiple scattered, independent hacking groups are all jumping on the same trend. Right now, the primary targets are gamers in China. The wallpaper art styles and titles are tailored specifically to them, and the data backs it up: our security systems caught a staggering 89% of the malicious download attempts happening right there. That said, there’s absolutely nothing stopping these attackers from pivoting and launching a similar campaign in any other part of the world. Russia comes in second place for total downloads at 5.5%, followed by a smattering of other countries and territories: Singapore (1.4%), Hong Kong (0.9%), Germany (0.9%), Vietnam (0.9%), India (0.5%), and Canada (0.5%).
Malicious app wallpaper downloads by region
Our investigation proves that even trusted platforms like the Steam Workshop aren’t completely safe from malware. In most cases, we caught old, familiar threats such as DarkKomet, the Lumma and Vidar infostealers, and the RenEngine loader. Kaspersky solutions can easily spot and block all of these payloads, no matter how clever the packaging is, thanks to our proactive security layers. Here are some of the specific threat detection verdicts assigned to the objects we discovered during our research:
By the time this post went live, the Steam team had already scrubbed the identified malicious wallpapers and links from the platform. However, given how frequently new infected wallpapers keep popping up on the Steam Workshop, you shouldn’t rely on Steam to catch everything. It’s highly recommended to run an antivirus scan on these types of wallpapers before you actually apply them.
MD5
C2 servers
Malicious wallpapers
We have since confirmed that the malicious wallpapers were present in the app as early as August 2025.
In late April 2026, a client reached out to us for incident response support after discovering a miner running on users’ computers. We later discovered that the malware was being distributed via illegal movie and TV show streaming sites. The infection chain leveraged a fake update for a video player plugin. When the user attempted to watch a video, the player displayed a message saying the plugin version was outdated and asking to install an update to continue.
Clicking the link downloaded a ZIP archive with the following contents:
The archive contained a legitimate executable, HLS Installer.874.exe, alongside a malicious DLL. Launching the EXE triggered a DLL side-loading mechanism, injecting the malicious module into a legitimate program process and executing code within its context. The library contained the logic for deploying the miner and establishing persistence on the device.
At the time of the investigation, the infection risk was associated with two pirated video sites in the .ru and .top TLDs.
The current incident does not appear to be an isolated case. After analyzing the infection vector and the logic of the DLL, we concluded that this activity is a continuation of a campaign involving pirated digital libraries, which was previously described by another cybersecurity company.
The delivery mechanism for the malicious archive has remained virtually unchanged. Previously, the archive was downloaded in parts from the domain file[.]ipfs[.]us[.]69[.]mu, but this domain was unavailable at the time of our investigation. Instead, the threat actor employed a new website, urush1bar4[.]online.
The structure of the archive has also been preserved: inside is a legitimate executable and a large malicious DLL (see the screenshot below).
In the course of our research, we also discovered a blog post by NTT Security describing a similar delivery method for a malicious archive. In that instance, the threat actors displayed a fake browser crash page (shown below) while simultaneously downloading an archive to the device with a name starting with chromium-patch-nightly.
This scenario resembles the current scheme involving the fake video player plugin update. Given the previously described activity, it’s safe to assume that this campaign has been active since at least 2022. Throughout this entire period, the threat actor has been updating both the downloadable malware and individual parts of the infection mechanism.
As in previous episodes of the campaign, infections occur via highly popular websites. As of late April 2026, sites linked to the campaign typically displayed extremely high monthly traffic. For instance, the audience for the smallest of the free digital libraries stood at 11,000 users, while the largest reached 4.7 million. For pirated movie and TV show streaming sites, this figure ranged from 2.1 million to 27.4 million. In April, the total number of visits to websites where the malware described in this study was detected reached 40 million.
The popularity of these sites increases the potential scale of the miner’s distribution. Furthermore, the campaign is not limited to a single type of platform: the malicious archive is being distributed through both online digital libraries and movie and TV show streaming sites. This broadens the potential range of victims and makes it more difficult to attribute the threat to a single infection vector.
The current version of the downloadable malware is a ZIP archive containing a legitimate EXE file and a malicious DLL. When the executable runs, the library side-loads into its process, triggering the malicious logic.
The technical analysis that follows covers the current version of this malware. This version was first observed in April 2025 and has been distributed unmodified for over a year.
Most of the data inside the DLL carries no meaningful weight and was randomly generated just to inflate the file size and impede analysis.
Amidst the large volume of junk code inside the DLL, there is a single function that triggers a stack overflow during execution:
Based on the code, the size of the stackBuf buffer on the stack is only 64 bytes, and the SmashStack function overwrites this buffer without validating the length of the input data.
This overflow constructs a ROP chain that decrypts the next stage. After decryption, it transfers execution to code located within the modified DOS header of the PE file:
The header was intentionally modified to make it into valid shellcode:
pop r10 push r10 call $+5 pop rcx sub rcx, 9 mov rax, rcx add rax, 5C1000h call rax retn
This shellcode passes control to a function located at offset 0x5C1000 from the base of the PE file. This function then reflectively loads the same PE file into memory.
Going forward, we will refer to this decrypted PE file as the main module.
The module’s behavior across its different operational stages is detailed below:
The main module is a modified fork of the SilentCryptoMiner project. We have previously analyzed miners leveraging this project in other posts: Scam Information and Event Management and Undercover miner: how YouTubers get pressed into distributing SilentCryptoMiner as a restriction bypass tool. However, this specific fork has not been documented anywhere before, which is why we decided to break down its unique features in detail in this article.
Upon an initial run, the main module checks whether it has permission to proceed with execution. To do this, it collects the following data from the victim’s device:
The information is transmitted as a single large DNS query using the DNS tunneling technique. An example of the DNS query is shown below:
The attackers disguise the DNS query as legitimate traffic through low-level packet crafting and by using a domain name ending in microsoft.com. However, the IP address to which the query is actually sent has no relation to Microsoft.
DNS query crafting code
The execution of the main module proceeds only if the following byte sequence is detected in the response: 01 02 03 04. Following a successful check, the main module launches, and the subsequent logic is adjusted depending on whether the process has elevated privileges on the compromised host.
Let’s look at both scenarios:
1. The process is launched with elevated privileges.
In this case, preparatory steps precede the miner launch:
Login
%USERPROFILE%, %PROGRAMDATA%, and %WINDIR% folders.ZwSetInformationFile with the FileDispositionInformation type, which causes the mrt.exe file to be deleted upon closing. To prevent MSRT from being automatically installed during the next update, the DontOfferThroughWUAU parameter is created with a value of 1 under the HKLM\Software\Policies\Microsoft\MRT registry key.powercfg /x -hibernate-timeout-ac 0 powercfg /x -hibernate-timeout-dc 0 powercfg /x -standby-timeout-ac 0 powercfg /x -standby-timeout-dc 0
This is done to maximize the miner’s potential runtime on the device.
Next, to achieve persistence, a copy is created in the C:\ProgramData\Google\Chrome directory, after which the GoogleUpdateTaskMachineQC service is registered and configured to launch automatically at system startup.
Finally, four reflexive loads are executed: the components are injected directly into the memory of the target processes without writing to disk, having bypassed standard Windows loading mechanisms. Each implant is injected into its own host process:
2. The process is launched with standard privileges.
In this scenario, the miner begins repeatedly triggering User Account Control (UAC) prompts until it is successfully executed with elevated privileges. The workflow is as follows:
%USERPROFILE%\AppData\Roaming\Sandboxie directory and relaunched from there. Simultaneously, an attempt is made to launch it with elevated privileges via UAC.HKEY_CURRENT_USER\Software\Microsoft\Windows\CurrentVersion\Run.GoogleUpdateTaskMachineQC service is successfully installed.A successful installation requires all of the following conditions to be met:
GoogleUpdateTaskMachineQC service exists in the system.C:\ProgramData\Google\Chrome folder.The purpose of this component is to ensure the uninterrupted operation of the miner. At the very beginning of its execution, it copies all files from the C:\ProgramData\Google\Chrome folder and encrypts the contents of each file using a cyclic XOR algorithm with the key AFeIboiOmImJS2ypJU0pTpAO61SELkUc. After that, the encrypted contents are written into the process memory, and the following structure is created in memory for each file:
class FileContainer{
wchar_t* fullPath; // full path to file
size_t* ptrSize; // pointer to file size
uint8_t* xorEncryptedFile; //pointer to buffer containing encrypted file contents
};As soon as the contents of all files are saved in memory, Watchdog enters an infinite loop, where every five seconds, it checks the integrity of the installed GoogleUpdateTaskMachineQC service, just as the main module does. If the service is found to be incorrectly installed, the miner overwrites its files in the C:\ProgramData\Google\Chrome path with the contents acquired at startup.
To successfully remediate the miner, this module, which runs inside the explorer.exe process, must be terminated first.
This module provides remote control capabilities via four commands, which are described at the end of this section. The command-and-control addresses used to receive these commands follow this format:
http://{domain}.space/index.php?authorization=1http://{domain}.site/index.php? backup versionThe {domain} is calculated based on the current date. The process starts with the current year, then adds the zone identifier for the current month. All 12 months are divided into four zones. Finally, the word microsoft is appended to the resulting string. This final string is used as the input for subsequent double hashing using the MurmurHash64 algorithm. The hash output is the domain for the implant to communicate with.
At the time of writing this, the following domains were registered:
An example of a request to the C2 server is provided below:
As can be seen, the request contains an encrypted body consisting of data encrypted via AES-CBC with the key 0123456789abcdef0123456789abcdef and the initialization vector 000102030405060708090a0b0c0d0e0f. The data contains a list of installed programs on the system, along with processor information and the serial number of the C: drive.
This information is likely used by the backend to check for virtual or debugging environments.
The first 16 bytes of the server response body represent the initialization vector for the AES-CBC algorithm with the key 0123456789abcdef0123456789abcdef, while the remaining bytes are the data encrypted with this algorithm. The decrypted data contains a malicious payload, as well as its RSA-SHA256 signature (sign):
struct PLAINTEXT{
uint32_t len_payload;
uint8_t payload[len_payload];
uint32_t len_sign;
uint8_t sign[len_signature];
}The authenticity of the message is verified via the sign signature using the server’s public key, which is embedded in the executable.
Inside the malicious payload is a 4-byte code that determines the subsequent behavior of the program, along with additional data whose meaning depends on the code.
The table below lists the four remote control commands for the RAT agent module.
| Code | Purpose |
| 1 | Execution of an arbitrary command |
| 2 | Reflexive execution of the provided PE file within the explorer.exe process |
| 3 | Execution of the provided shellcode |
| 4 | Exit |
Depending on whether a discrete GPU is present in the system, either the CPU miner alone or a combination of the CPU and GPU miners is launched. The CPU miner is based on XMRig, while the GPU miner supports multiple algorithms.
Upon initial execution, both miners attempt to retrieve their startup configuration from a remote server. The potential addresses are listed below:
As with the RAT agent component, the server address is generated from the current date — in this case, the server address changes every week. This results in quite a large number of domains for the 2020–2030 period; however, all of them point to the same IP address: 107[.]172[.]212[.]235. The first available domain out of the four potential domains listed above will be used.
The algorithm for retrieving the configuration from the server is completely identical to that used by the RAT agent, with the sole exception that th1s1sth3key0f4n1ntere5t1ngw0rld is used as the AES-CBC key in this scenario, and the configuration resides within the payload. The retrieved configuration is encrypted via AES-CBC using the key UXUUXUUXUUCommandULineUUXUUXUUXU and the initialization vector UUCommandULineUU. The encrypted data is then converted into a base64 string, which is passed as a command-line parameter to launch the miner inside the explorer.exe process through process hollowing.
Our investigation focused on an ongoing campaign distributing miners via popular illegal content sites. The threat actors leverage a variety of sites, ranging from online libraries to movie and TV show streaming platforms. There is no telling what channels they will use to distribute the malicious archive in the future. However, the current case shows that users visiting pirated websites continue to take a serious risk.
Our products detect this malware with the following Generic verdicts:
Malicious archive download URL
urush1bar4[.]online
Malicious DLL libraries:
6A0FE6065D76715FEEBC1526D456DB73
7F624407AE489324E96A708A09C17E6F
02A43B3423367B9DDDC24CC7DFC070DF
RAT C&C:
5d14vnfb[.]space
r7mvjl67[.]space
zgj1tam9[.]space
jeaw520i[.]space
qdmagva5[.]space
Configuration retrieval address
107[.]172[.]212[.]235
UnamWebPanel control panel addresses
m4yuri[.]online
kristina[.]quest
In late April 2026, a client reached out to us for incident response support after discovering a miner running on users’ computers. We later discovered that the malware was being distributed via illegal movie and TV show streaming sites. The infection chain leveraged a fake update for a video player plugin. When the user attempted to watch a video, the player displayed a message saying the plugin version was outdated and asking to install an update to continue.
Clicking the link downloaded a ZIP archive with the following contents:
The archive contained a legitimate executable, HLS Installer.874.exe, alongside a malicious DLL. Launching the EXE triggered a DLL side-loading mechanism, injecting the malicious module into a legitimate program process and executing code within its context. The library contained the logic for deploying the miner and establishing persistence on the device.
At the time of the investigation, the infection risk was associated with two pirated video sites in the .ru and .top TLDs.
The current incident does not appear to be an isolated case. After analyzing the infection vector and the logic of the DLL, we concluded that this activity is a continuation of a campaign involving pirated digital libraries, which was previously described by another cybersecurity company.
The delivery mechanism for the malicious archive has remained virtually unchanged. Previously, the archive was downloaded in parts from the domain file[.]ipfs[.]us[.]69[.]mu, but this domain was unavailable at the time of our investigation. Instead, the threat actor employed a new website, urush1bar4[.]online.
The structure of the archive has also been preserved: inside is a legitimate executable and a large malicious DLL (see the screenshot below).
In the course of our research, we also discovered a blog post by NTT Security describing a similar delivery method for a malicious archive. In that instance, the threat actors displayed a fake browser crash page (shown below) while simultaneously downloading an archive to the device with a name starting with chromium-patch-nightly.
This scenario resembles the current scheme involving the fake video player plugin update. Given the previously described activity, it’s safe to assume that this campaign has been active since at least 2022. Throughout this entire period, the threat actor has been updating both the downloadable malware and individual parts of the infection mechanism.
As in previous episodes of the campaign, infections occur via highly popular websites. As of late April 2026, sites linked to the campaign typically displayed extremely high monthly traffic. For instance, the audience for the smallest of the free digital libraries stood at 11,000 users, while the largest reached 4.7 million. For pirated movie and TV show streaming sites, this figure ranged from 2.1 million to 27.4 million. In April, the total number of visits to websites where the malware described in this study was detected reached 40 million.
The popularity of these sites increases the potential scale of the miner’s distribution. Furthermore, the campaign is not limited to a single type of platform: the malicious archive is being distributed through both online digital libraries and movie and TV show streaming sites. This broadens the potential range of victims and makes it more difficult to attribute the threat to a single infection vector.
The current version of the downloadable malware is a ZIP archive containing a legitimate EXE file and a malicious DLL. When the executable runs, the library side-loads into its process, triggering the malicious logic.
The technical analysis that follows covers the current version of this malware. This version was first observed in April 2025 and has been distributed unmodified for over a year.
Most of the data inside the DLL carries no meaningful weight and was randomly generated just to inflate the file size and impede analysis.
Amidst the large volume of junk code inside the DLL, there is a single function that triggers a stack overflow during execution:
Based on the code, the size of the stackBuf buffer on the stack is only 64 bytes, and the SmashStack function overwrites this buffer without validating the length of the input data.
This overflow constructs a ROP chain that decrypts the next stage. After decryption, it transfers execution to code located within the modified DOS header of the PE file:
The header was intentionally modified to make it into valid shellcode:
pop r10 push r10 call $+5 pop rcx sub rcx, 9 mov rax, rcx add rax, 5C1000h call rax retn
This shellcode passes control to a function located at offset 0x5C1000 from the base of the PE file. This function then reflectively loads the same PE file into memory.
Going forward, we will refer to this decrypted PE file as the main module.
The module’s behavior across its different operational stages is detailed below:
The main module is a modified fork of the SilentCryptoMiner project. We have previously analyzed miners leveraging this project in other posts: Scam Information and Event Management and Undercover miner: how YouTubers get pressed into distributing SilentCryptoMiner as a restriction bypass tool. However, this specific fork has not been documented anywhere before, which is why we decided to break down its unique features in detail in this article.
Upon an initial run, the main module checks whether it has permission to proceed with execution. To do this, it collects the following data from the victim’s device:
The information is transmitted as a single large DNS query using the DNS tunneling technique. An example of the DNS query is shown below:
The attackers disguise the DNS query as legitimate traffic through low-level packet crafting and by using a domain name ending in microsoft.com. However, the IP address to which the query is actually sent has no relation to Microsoft.
DNS query crafting code
The execution of the main module proceeds only if the following byte sequence is detected in the response: 01 02 03 04. Following a successful check, the main module launches, and the subsequent logic is adjusted depending on whether the process has elevated privileges on the compromised host.
Let’s look at both scenarios:
1. The process is launched with elevated privileges.
In this case, preparatory steps precede the miner launch:
%USERPROFILE%, %PROGRAMDATA%, and %WINDIR% folders.ZwSetInformationFile with the FileDispositionInformation type, which causes the mrt.exe file to be deleted upon closing. To prevent MSRT from being automatically installed during the next update, the DontOfferThroughWUAU parameter is created with a value of 1 under the HKLM\Software\Policies\Microsoft\MRT registry key.powercfg /x -hibernate-timeout-ac 0 powercfg /x -hibernate-timeout-dc 0 powercfg /x -standby-timeout-ac 0 powercfg /x -standby-timeout-dc 0
This is done to maximize the miner’s potential runtime on the device.
Next, to achieve persistence, a copy is created in the C:\ProgramData\Google\Chrome directory, after which the GoogleUpdateTaskMachineQC service is registered and configured to launch automatically at system startup.
Finally, four reflexive loads are executed: the components are injected directly into the memory of the target processes without writing to disk, having bypassed standard Windows loading mechanisms. Each implant is injected into its own host process:
2. The process is launched with standard privileges.
In this scenario, the miner begins repeatedly triggering User Account Control (UAC) prompts until it is successfully executed with elevated privileges. The workflow is as follows:
%USERPROFILE%\AppData\Roaming\Sandboxie directory and relaunched from there. Simultaneously, an attempt is made to launch it with elevated privileges via UAC.HKEY_CURRENT_USER\Software\Microsoft\Windows\CurrentVersion\Run.GoogleUpdateTaskMachineQC service is successfully installed.A successful installation requires all of the following conditions to be met:
GoogleUpdateTaskMachineQC service exists in the system.C:\ProgramData\Google\Chrome folder.The purpose of this component is to ensure the uninterrupted operation of the miner. At the very beginning of its execution, it copies all files from the C:\ProgramData\Google\Chrome folder and encrypts the contents of each file using a cyclic XOR algorithm with the key AFeIboiOmImJS2ypJU0pTpAO61SELkUc. After that, the encrypted contents are written into the process memory, and the following structure is created in memory for each file:
class FileContainer{
wchar_t* fullPath; // full path to file
size_t* ptrSize; // pointer to file size
uint8_t* xorEncryptedFile; //pointer to buffer containing encrypted file contents
};As soon as the contents of all files are saved in memory, Watchdog enters an infinite loop, where every five seconds, it checks the integrity of the installed GoogleUpdateTaskMachineQC service, just as the main module does. If the service is found to be incorrectly installed, the miner overwrites its files in the C:\ProgramData\Google\Chrome path with the contents acquired at startup.
To successfully remediate the miner, this module, which runs inside the explorer.exe process, must be terminated first.
This module provides remote control capabilities via four commands, which are described at the end of this section. The command-and-control addresses used to receive these commands follow this format:
http://{domain}.space/index.php?authorization=1http://{domain}.site/index.php? backup versionThe {domain} is calculated based on the current date. The process starts with the current year, then adds the zone identifier for the current month. All 12 months are divided into four zones. Finally, the word microsoft is appended to the resulting string. This final string is used as the input for subsequent double hashing using the MurmurHash64 algorithm. The hash output is the domain for the implant to communicate with.
At the time of writing this, the following domains were registered:
An example of a request to the C2 server is provided below:
As can be seen, the request contains an encrypted body consisting of data encrypted via AES-CBC with the key 0123456789abcdef0123456789abcdef and the initialization vector 000102030405060708090a0b0c0d0e0f. The data contains a list of installed programs on the system, along with processor information and the serial number of the C: drive.
This information is likely used by the backend to check for virtual or debugging environments.
The first 16 bytes of the server response body represent the initialization vector for the AES-CBC algorithm with the key 0123456789abcdef0123456789abcdef, while the remaining bytes are the data encrypted with this algorithm. The decrypted data contains a malicious payload, as well as its RSA-SHA256 signature (sign):
struct PLAINTEXT{
uint32_t len_payload;
uint8_t payload[len_payload];
uint32_t len_sign;
uint8_t sign[len_signature];
}The authenticity of the message is verified via the sign signature using the server’s public key, which is embedded in the executable.
Inside the malicious payload is a 4-byte code that determines the subsequent behavior of the program, along with additional data whose meaning depends on the code.
The table below lists the four remote control commands for the RAT agent module.
| Code | Purpose |
| 1 | Execution of an arbitrary command |
| 2 | Reflexive execution of the provided PE file within the explorer.exe process |
| 3 | Execution of the provided shellcode |
| 4 | Exit |
Depending on whether a discrete GPU is present in the system, either the CPU miner alone or a combination of the CPU and GPU miners is launched. The CPU miner is based on XMRig, while the GPU miner supports multiple algorithms.
Upon initial execution, both miners attempt to retrieve their startup configuration from a remote server. The potential addresses are listed below:
As with the RAT agent component, the server address is generated from the current date — in this case, the server address changes every week. This results in quite a large number of domains for the 2020–2030 period; however, all of them point to the same IP address: 107[.]172[.]212[.]235. The first available domain out of the four potential domains listed above will be used.
The algorithm for retrieving the configuration from the server is completely identical to that used by the RAT agent, with the sole exception that th1s1sth3key0f4n1ntere5t1ngw0rld is used as the AES-CBC key in this scenario, and the configuration resides within the payload. The retrieved configuration is encrypted via AES-CBC using the key UXUUXUUXUUCommandULineUUXUUXUUXU and the initialization vector UUCommandULineUU. The encrypted data is then converted into a base64 string, which is passed as a command-line parameter to launch the miner inside the explorer.exe process through process hollowing.
Our investigation focused on an ongoing campaign distributing miners via popular illegal content sites. The threat actors leverage a variety of sites, ranging from online libraries to movie and TV show streaming platforms. There is no telling what channels they will use to distribute the malicious archive in the future. However, the current case shows that users visiting pirated websites continue to take a serious risk.
Our products detect this malware with the following Generic verdicts:
Malicious archive download URL
urush1bar4[.]online
Malicious DLL libraries:
6A0FE6065D76715FEEBC1526D456DB73
7F624407AE489324E96A708A09C17E6F
02A43B3423367B9DDDC24CC7DFC070DF
RAT C&C:
5d14vnfb[.]space
r7mvjl67[.]space
zgj1tam9[.]space
jeaw520i[.]space
qdmagva5[.]space
Configuration retrieval address
107[.]172[.]212[.]235
UnamWebPanel control panel addresses
m4yuri[.]online
kristina[.]quest
IT threat evolution in Q1 2026. Non-mobile statistics
IT threat evolution in Q1 2026. Mobile statistics
The statistics in this report are based on detection verdicts returned by Kaspersky products unless otherwise stated. The information was provided by Kaspersky users who consented to sharing statistical data.
In Q1 2026:
In January 2026, it was reported that the FBI had seized the domains of the RAMP cybercrime forum, a major platform used extensively by ransomware developers to advertise their RaaS programs and to recruit affiliates. There has been no official statement from the FBI, nor is it clear if RAMP servers were seized. In a post on an external website, a RAMP moderator mentioned law enforcement agencies gaining control over the forum. The takedown disrupted a key element of the RaaS ecosystem, creating ripple effects for ransomware operators, affiliates, and initial access brokers.
A man suspected of links to the Phobos group was apprehended in Poland. He was charged with the creation, acquisition, and distribution of software designed for unlawfully obtaining information, including data that facilitates unauthorized access to information stored within a computer system.
In March, a Phobos ransomware administrator pleaded guilty to the creation and distribution of the Trojan, which had been used in international attacks dating back to at least November 2020.
In March, the U.S. Department of Justice charged a man who had acted as a negotiator for ransomware groups. The company he worked for specializes in cyberincident investigations. The prosecution alleges the suspect colluded with the BlackCat threat actor to share privileged insights into the ongoing progress of negotiations. Additionally, the suspect is alleged to have had a prior direct role in BlackCat attacks, serving as an affiliate for the RaaS operation.
In a separate development this March, a U.S. court sentenced an initial access broker associated with the Yanluowang ransomware group to 81 months of imprisonment. According to the U.S. Department of Justice, the convict facilitated dozens of ransomware attacks across the United States, resulting in over $9 million in actual loss and more than $24 million in intended loss.
The Interlock group has been heavily exploiting the CVE-2026-20131 zero-day vulnerability in Cisco Secure FMC firewall management software since at least January 26, 2026. The vulnerability enabled arbitrary Java code execution with root privileges on the affected device. This campaign demonstrates the ongoing reliance on zero-day vulnerabilities for initial access, a focus on network appliances as high-value entry points, and the rapid weaponization of new vulnerabilities within the ransomware ecosystem.
This section highlights the most prolific ransomware gangs by number of victims added to each group’s DLS. This quarter, the Clop ransomware (14.42%) returned to the top of the rankings, displacing Qilin (12.34%), which had held the leading position in the previous reporting period. Following closely is a new threat actor, The Gentlemen (9.25%). Emerging no later than July 2025, the group had already surpassed the activity levels of mainstays such as Akira (7.25%) and INC Ransom (6.13%).
Number of each group’s victims according to its DLS as a percentage of all groups’ victims published on all the DLSs under review during the reporting period (download)
In Q1 2026, Kaspersky solutions detected six new ransomware families and 2938 new modifications. Volumes have returned to Q3 2025 levels following a surge in Q4 2025.
Number of new ransomware modifications, Q1 2025 — Q1 2026 (download)
Throughout Q1, our solutions protected 77,319 unique users from ransomware. Ransomware activity was highest in March, with 35,056 unique users encountering such attacks during the month.
Number of unique users attacked by ransomware Trojans, Q1 2026 (download)
| Country/territory* | %** | |
| 1 | Pakistan | 0.79 |
| 2 | South Korea | 0.64 |
| 3 | China | 0.52 |
| 4 | Tajikistan | 0.40 |
| 5 | Libya | 0.38 |
| 6 | Turkmenistan | 0.36 |
| 7 | Iraq | 0.35 |
| 8 | Bangladesh | 0.33 |
| 9 | Rwanda | 0.30 |
| 10 | Cameroon | 0.28 |
* Excluded are countries and territories with relatively few (under 50,000) Kaspersky users.
** Unique users whose computers were attacked by ransomware Trojans as a percentage of all unique users of Kaspersky products in the country/territory.
| Name | Verdict | %* | |
| 1 | (generic verdict) | Trojan-Ransom.Win32.Gen | 33.90 |
| 2 | (generic verdict) | Trojan-Ransom.Win32.Crypren | 6.38 |
| 3 | WannaCry | Trojan-Ransom.Win32.Wanna | 5.87 |
| 4 | (generic verdict) | Trojan-Ransom.Win32.Encoder | 4.68 |
| 5 | (generic verdict) | Trojan-Ransom.Win32.Agent | 3.80 |
| 6 | LockBit | Trojan-Ransom.Win32.Lockbit | 2.80 |
| 7 | (generic verdict) | Trojan-Ransom.Win32.Phny | 1.99 |
| 8 | (generic verdict) | Trojan-Ransom.MSIL.Agent | 1.96 |
| 9 | (generic verdict) | Trojan-Ransom.Python.Agent | 1.93 |
| 10 | (generic verdict) | Trojan-Ransom.Win32.Crypmod | 1.89 |
* Unique Kaspersky users attacked by the specific ransomware Trojan family as a percentage of all unique users attacked by this type of threat.
In Q1 2026, Kaspersky solutions detected 3485 new modifications of miners.
Number of new miner modifications, Q1 2026 (download)
In Q1, we detected attacks using miner programs on the computers of 260,588 unique Kaspersky users worldwide.
Number of unique users attacked by miners, Q1 2026 (download)
| Country/territory* | %** | |
| 1 | Senegal | 3.19 |
| 2 | Turkmenistan | 3.06 |
| 3 | Mali | 2.63 |
| 4 | Tanzania | 1.62 |
| 5 | Bangladesh | 1.06 |
| 6 | Ethiopia | 0.95 |
| 7 | Panama | 0.88 |
| 8 | Afghanistan | 0.79 |
| 9 | Kazakhstan | 0.77 |
| 10 | Bolivia | 0.75 |
* Excluded are countries and territories with relatively few (under 50,000) Kaspersky users.
** Unique users whose computers were attacked by miners as a percentage of all unique users of Kaspersky products in the country/territory.
In Q1 2026, Google uncovered a new cryptocurrency theft campaign. The scammers directed victims to a fraudulent video call, prompting them to execute malicious scripts under the guise of technical support fixes for connection problems.
In March, researchers with GTIG and iVerify reported the discovery of an in-the-wild exploit chain targeting both iOS and macOS devices. The exploit kit was apparently marketed on the dark web, providing threat actors with a suite of spyware capabilities alongside specialized cryptocurrency exfiltration modules. The exploit was delivered via drive-by downloads when victims visited various compromised websites. Our analysis confirmed that the toolkit included an updated version of a component previously identified in the Operation Triangulation attack chain.
Devices running macOS were similarly impacted by the high-profile supply chain attack targeting the Axios npm package, a widely used HTTP client for JavaScript. The installation of the infected package led to the deployment of a backdoor on macOS devices.
Unique users* who encountered this malware as a percentage of all attacked users of Kaspersky security solutions for macOS (download)
* Data for the previous quarter may differ slightly from previously published data due to some verdicts being retrospectively revised.
The share of PasivRobber spyware attacks is beginning to decline, giving way to more traditional adware and Monitor-class software capable of tracking user activity. The popular Amos stealer also maintains its presence within the TOP 20.
| Country/territory | %* Q4 2025 | %* Q1 2026 |
| China | 1.28 | 1.97 |
| France | 1.18 | 1.07 |
| Brazil | 1.13 | 0.98 |
| Mexico | 0.72 | 0.52 |
| Germany | 0.71 | 0.45 |
| The Netherlands | 0.62 | 0.75 |
| Hong Kong | 0.49 | 0.53 |
| India | 0.42 | 0.48 |
| Russian Federation | 0.34 | 0.37 |
| Thailand | 0.24 | 0.27 |
* Unique users who encountered threats to macOS as a percentage of all unique Kaspersky users in the country/territory.
This section presents statistics on attacks targeting Kaspersky IoT honeypots. The geographic data on attack sources is based on the IP addresses of attacking devices.
In Q1 2026, the share of devices attacking Kaspersky honeypots via the SSH protocol saw a significant increase compared to the previous reporting period.
Distribution of attacked services by number of unique IP addresses of attacking devices (download)
The distribution of attacks between Telnet and SSH maintained the ratio observed in Q4 2025.
Distribution of attackers’ sessions in Kaspersky honeypots (download)
Share of each threat delivered to an infected device as a result of a successful attack, out of the total number of threats delivered (download)
The primary shifts in the IoT threat distribution are linked to the activity of various Mirai botnet variants, although members of this family continue to account for the majority of the list. Furthermore, a new variant, Mirai.kl, surfaced in the rankings. We also observed a significant decline in NyaDrop botnet activity during Q1.
The United States, the Netherlands, and Germany accounted for the highest proportions of SSH-based attacks during this period.
| Country/territory | Q4 2025 | Q1 2026 |
| United States | 16.10% | 23.74% |
| The Netherlands | 15.78% | 17.57% |
| Germany | 12.07% | 10.34% |
| Panama | 7.72% | 6.34% |
| India | 5.32% | 6.05% |
| Romania | 4.05% | 5.82% |
| Australia | 1.62% | 4.61% |
| Vietnam | 4.21% | 3.50% |
| Russian Federation | 3.79% | 2.35% |
| Sweden | 2.25% | 2.09% |
China continues to account for the largest proportion of Telnet attacks, though there was a marked increase in activity originating from Pakistan.
| Country/territory | Q4 2025 | Q1 2026 |
| China | 53.64% | 39.54% |
| Pakistan | 14.27% | 27.31% |
| Russian Federation | 8.20% | 8.25% |
| Indonesia | 8.58% | 6.71% |
| India | 4.85% | 4.66% |
| Brazil | 0.06% | 3.30% |
| Argentina | 0.02% | 2.51% |
| Nigeria | 1.22% | 1.38% |
| Thailand | 0.01% | 0.55% |
| Sweden | 0.54% | 0.55% |
The statistics in this section are based on detection verdicts by Web Anti-Virus, which protects users when suspicious objects are downloaded from malicious or infected web pages. These malicious pages are purposefully created by cybercriminals. Websites that host user-generated content, such as message boards, as well as compromised legitimate sites, can become infected.
The following statistics show the distribution by country/territory of the sources of internet attacks blocked by Kaspersky products on user computers (web pages redirecting to exploits, sites containing exploits and other malicious programs, botnet C&C centers, and so on). One or more web-based attacks could originate from each unique host.
To determine the geographic source of web attacks, we matched the domain name with the real IP address where the domain is hosted, then identified the geographic location of that IP address (GeoIP).
In Q1 2026, Kaspersky solutions blocked 343,823,407 attacks launched from internet resources worldwide. Web Anti-Virus was triggered by 49,983,611 unique URLs.
Web-based attacks by country/territory, Q1 2026 (download)
To assess the risk of malware infection via the internet for users’ computers in different countries and territories, we calculated the share of Kaspersky users in each location on whose computers Web Anti-Virus was triggered during the reporting period. The resulting data provides an indication of the aggressiveness of the environment in which computers operate in different countries and territories.
This ranked list includes only attacks by malicious objects classified as Malware. Our calculations leave out Web Anti-Virus detections of potentially dangerous or unwanted programs, such as RiskTool or adware.
| Country/territory* | %** | |
| 1 | Venezuela | 9.33 |
| 2 | Hungary | 8.16 |
| 3 | Italy | 7.58 |
| 4 | Tajikistan | 7.48 |
| 5 | India | 7.21 |
| 6 | Greece | 7.13 |
| 7 | Portugal | 7.10 |
| 8 | France | 7.05 |
| 9 | Belgium | 6.83 |
| 10 | Slovakia | 6.80 |
| 11 | Vietnam | 6.62 |
| 12 | Bosnia and Herzegovina | 6.57 |
| 13 | Canada | 6.56 |
| 14 | Serbia | 6.50 |
| 15 | Tunisia | 6.36 |
| 16 | Qatar | 6.01 |
| 17 | Spain | 5.95 |
| 18 | Germany | 5.95 |
| 19 | Sri Lanka | 5.89 |
| 20 | Brazil | 5.88 |
* Excluded are countries and territories with relatively few (under 10,000) Kaspersky users.
** Unique users targeted by web-based Malware attacks as a percentage of all unique users of Kaspersky products in the country/territory.
On average during the quarter, 4.73% of users’ computers worldwide were subjected to at least one Malware web attack.
Statistics on local infections of user computers are an important indicator. They include objects that penetrated the target computer by infecting files or removable media, or initially made their way onto the computer in non-open form. Examples of the latter are programs in complex installers and encrypted files.
Data in this section is based on analyzing statistics produced by anti-virus scans of files on the hard drive at the moment they were created or accessed, and the results of scanning removable storage media. The statistics are based on detection verdicts from the On-Access Scan (OAS) and On-Demand Scan (ODS) modules of File Anti-Virus and include detections of malicious programs located on user computers or removable media connected to the computers, such as flash drives, camera memory cards, phones, or external hard drives.
In Q1 2026, our File Anti-Virus detected 15,831,319 malicious and potentially unwanted objects.
For each country and territory, we calculated the percentage of Kaspersky users whose computers had the File Anti-Virus triggered at least once during the reporting period. This statistic reflects the level of personal computer infection in different countries and territories around the world.
Note that this ranked list includes only attacks by malicious objects classified as Malware. Our calculations leave out File Anti-Virus detections of potentially dangerous or unwanted programs, such as RiskTool or adware.
| Country/territory* | %** | |
| 1 | Turkmenistan | 47.96 |
| 2 | Tajikistan | 31.48 |
| 3 | Cuba | 31.03 |
| 4 | Yemen | 29.59 |
| 5 | Afghanistan | 28.47 |
| 6 | Burundi | 26.93 |
| 7 | Uzbekistan | 24.81 |
| 8 | Syria | 23.08 |
| 9 | Nicaragua | 21.97 |
| 10 | Cameroon | 21.60 |
| 11 | China | 21.09 |
| 12 | Mozambique | 21.02 |
| 13 | Algeria | 20.64 |
| 14 | Democratic Republic of the Congo | 20.63 |
| 15 | Bangladesh | 20.44 |
| 16 | Mali | 20.35 |
| 17 | Republic of the Congo | 20.23 |
| 18 | Madagascar | 20.00 |
| 19 | Belarus | 19.78 |
| 20 | Tanzania | 19.52 |
* Excluded are countries and territories with relatively few (under 10,000) Kaspersky users.
** Unique users on whose computers local Malware threats were blocked, as a percentage of all unique users of Kaspersky products in the country/territory.
On average worldwide, Malware local threats were detected at least once on 11.55% of users’ computers during Q1.
Russia scored 11.92% in these rankings.
IT threat evolution in Q1 2026. Non-mobile statistics
IT threat evolution in Q1 2026. Mobile statistics
The statistics in this report are based on detection verdicts returned by Kaspersky products unless otherwise stated. The information was provided by Kaspersky users who consented to sharing statistical data.
In Q1 2026:
In January 2026, it was reported that the FBI had seized the domains of the RAMP cybercrime forum, a major platform used extensively by ransomware developers to advertise their RaaS programs and to recruit affiliates. There has been no official statement from the FBI, nor is it clear if RAMP servers were seized. In a post on an external website, a RAMP moderator mentioned law enforcement agencies gaining control over the forum. The takedown disrupted a key element of the RaaS ecosystem, creating ripple effects for ransomware operators, affiliates, and initial access brokers.
A man suspected of links to the Phobos group was apprehended in Poland. He was charged with the creation, acquisition, and distribution of software designed for unlawfully obtaining information, including data that facilitates unauthorized access to information stored within a computer system.
In March, a Phobos ransomware administrator pleaded guilty to the creation and distribution of the Trojan, which had been used in international attacks dating back to at least November 2020.
In March, the U.S. Department of Justice charged a man who had acted as a negotiator for ransomware groups. The company he worked for specializes in cyberincident investigations. The prosecution alleges the suspect colluded with the BlackCat threat actor to share privileged insights into the ongoing progress of negotiations. Additionally, the suspect is alleged to have had a prior direct role in BlackCat attacks, serving as an affiliate for the RaaS operation.
In a separate development this March, a U.S. court sentenced an initial access broker associated with the Yanluowang ransomware group to 81 months of imprisonment. According to the U.S. Department of Justice, the convict facilitated dozens of ransomware attacks across the United States, resulting in over $9 million in actual loss and more than $24 million in intended loss.
The Interlock group has been heavily exploiting the CVE-2026-20131 zero-day vulnerability in Cisco Secure FMC firewall management software since at least January 26, 2026. The vulnerability enabled arbitrary Java code execution with root privileges on the affected device. This campaign demonstrates the ongoing reliance on zero-day vulnerabilities for initial access, a focus on network appliances as high-value entry points, and the rapid weaponization of new vulnerabilities within the ransomware ecosystem.
This section highlights the most prolific ransomware gangs by number of victims added to each group’s DLS. This quarter, the Clop ransomware (14.42%) returned to the top of the rankings, displacing Qilin (12.34%), which had held the leading position in the previous reporting period. Following closely is a new threat actor, The Gentlemen (9.25%). Emerging no later than July 2025, the group had already surpassed the activity levels of mainstays such as Akira (7.25%) and INC Ransom (6.13%).
Number of each group’s victims according to its DLS as a percentage of all groups’ victims published on all the DLSs under review during the reporting period (download)
In Q1 2026, Kaspersky solutions detected six new ransomware families and 2938 new modifications. Volumes have returned to Q3 2025 levels following a surge in Q4 2025.
Number of new ransomware modifications, Q1 2025 — Q1 2026 (download)
Throughout Q1, our solutions protected 77,319 unique users from ransomware. Ransomware activity was highest in March, with 35,056 unique users encountering such attacks during the month.
Number of unique users attacked by ransomware Trojans, Q1 2026 (download)
| Country/territory* | %** | |
| 1 | Pakistan | 0.79 |
| 2 | South Korea | 0.64 |
| 3 | China | 0.52 |
| 4 | Tajikistan | 0.40 |
| 5 | Libya | 0.38 |
| 6 | Turkmenistan | 0.36 |
| 7 | Iraq | 0.35 |
| 8 | Bangladesh | 0.33 |
| 9 | Rwanda | 0.30 |
| 10 | Cameroon | 0.28 |
* Excluded are countries and territories with relatively few (under 50,000) Kaspersky users.
** Unique users whose computers were attacked by ransomware Trojans as a percentage of all unique users of Kaspersky products in the country/territory.
| Name | Verdict | %* | |
| 1 | (generic verdict) | Trojan-Ransom.Win32.Gen | 33.90 |
| 2 | (generic verdict) | Trojan-Ransom.Win32.Crypren | 6.38 |
| 3 | WannaCry | Trojan-Ransom.Win32.Wanna | 5.87 |
| 4 | (generic verdict) | Trojan-Ransom.Win32.Encoder | 4.68 |
| 5 | (generic verdict) | Trojan-Ransom.Win32.Agent | 3.80 |
| 6 | LockBit | Trojan-Ransom.Win32.Lockbit | 2.80 |
| 7 | (generic verdict) | Trojan-Ransom.Win32.Phny | 1.99 |
| 8 | (generic verdict) | Trojan-Ransom.MSIL.Agent | 1.96 |
| 9 | (generic verdict) | Trojan-Ransom.Python.Agent | 1.93 |
| 10 | (generic verdict) | Trojan-Ransom.Win32.Crypmod | 1.89 |
* Unique Kaspersky users attacked by the specific ransomware Trojan family as a percentage of all unique users attacked by this type of threat.
In Q1 2026, Kaspersky solutions detected 3485 new modifications of miners.
Number of new miner modifications, Q1 2026 (download)
In Q1, we detected attacks using miner programs on the computers of 260,588 unique Kaspersky users worldwide.
Number of unique users attacked by miners, Q1 2026 (download)
| Country/territory* | %** | |
| 1 | Senegal | 3.19 |
| 2 | Turkmenistan | 3.06 |
| 3 | Mali | 2.63 |
| 4 | Tanzania | 1.62 |
| 5 | Bangladesh | 1.06 |
| 6 | Ethiopia | 0.95 |
| 7 | Panama | 0.88 |
| 8 | Afghanistan | 0.79 |
| 9 | Kazakhstan | 0.77 |
| 10 | Bolivia | 0.75 |
* Excluded are countries and territories with relatively few (under 50,000) Kaspersky users.
** Unique users whose computers were attacked by miners as a percentage of all unique users of Kaspersky products in the country/territory.
In Q1 2026, Google uncovered a new cryptocurrency theft campaign. The scammers directed victims to a fraudulent video call, prompting them to execute malicious scripts under the guise of technical support fixes for connection problems.
In March, researchers with GTIG and iVerify reported the discovery of an in-the-wild exploit chain targeting both iOS and macOS devices. The exploit kit was apparently marketed on the dark web, providing threat actors with a suite of spyware capabilities alongside specialized cryptocurrency exfiltration modules. The exploit was delivered via drive-by downloads when victims visited various compromised websites. Our analysis confirmed that the toolkit included an updated version of a component previously identified in the Operation Triangulation attack chain.
Devices running macOS were similarly impacted by the high-profile supply chain attack targeting the Axios npm package, a widely used HTTP client for JavaScript. The installation of the infected package led to the deployment of a backdoor on macOS devices.
Unique users* who encountered this malware as a percentage of all attacked users of Kaspersky security solutions for macOS (download)
* Data for the previous quarter may differ slightly from previously published data due to some verdicts being retrospectively revised.
The share of PasivRobber spyware attacks is beginning to decline, giving way to more traditional adware and Monitor-class software capable of tracking user activity. The popular Amos stealer also maintains its presence within the TOP 20.
| Country/territory | %* Q4 2025 | %* Q1 2026 |
| China | 1.28 | 1.97 |
| France | 1.18 | 1.07 |
| Brazil | 1.13 | 0.98 |
| Mexico | 0.72 | 0.52 |
| Germany | 0.71 | 0.45 |
| The Netherlands | 0.62 | 0.75 |
| Hong Kong | 0.49 | 0.53 |
| India | 0.42 | 0.48 |
| Russian Federation | 0.34 | 0.37 |
| Thailand | 0.24 | 0.27 |
* Unique users who encountered threats to macOS as a percentage of all unique Kaspersky users in the country/territory.
This section presents statistics on attacks targeting Kaspersky IoT honeypots. The geographic data on attack sources is based on the IP addresses of attacking devices.
In Q1 2026, the share of devices attacking Kaspersky honeypots via the SSH protocol saw a significant increase compared to the previous reporting period.
Distribution of attacked services by number of unique IP addresses of attacking devices (download)
The distribution of attacks between Telnet and SSH maintained the ratio observed in Q4 2025.
Distribution of attackers’ sessions in Kaspersky honeypots (download)
Share of each threat delivered to an infected device as a result of a successful attack, out of the total number of threats delivered (download)
The primary shifts in the IoT threat distribution are linked to the activity of various Mirai botnet variants, although members of this family continue to account for the majority of the list. Furthermore, a new variant, Mirai.kl, surfaced in the rankings. We also observed a significant decline in NyaDrop botnet activity during Q1.
The United States, the Netherlands, and Germany accounted for the highest proportions of SSH-based attacks during this period.
| Country/territory | Q4 2025 | Q1 2026 |
| United States | 16.10% | 23.74% |
| The Netherlands | 15.78% | 17.57% |
| Germany | 12.07% | 10.34% |
| Panama | 7.72% | 6.34% |
| India | 5.32% | 6.05% |
| Romania | 4.05% | 5.82% |
| Australia | 1.62% | 4.61% |
| Vietnam | 4.21% | 3.50% |
| Russian Federation | 3.79% | 2.35% |
| Sweden | 2.25% | 2.09% |
China continues to account for the largest proportion of Telnet attacks, though there was a marked increase in activity originating from Pakistan.
| Country/territory | Q4 2025 | Q1 2026 |
| China | 53.64% | 39.54% |
| Pakistan | 14.27% | 27.31% |
| Russian Federation | 8.20% | 8.25% |
| Indonesia | 8.58% | 6.71% |
| India | 4.85% | 4.66% |
| Brazil | 0.06% | 3.30% |
| Argentina | 0.02% | 2.51% |
| Nigeria | 1.22% | 1.38% |
| Thailand | 0.01% | 0.55% |
| Sweden | 0.54% | 0.55% |
The statistics in this section are based on detection verdicts by Web Anti-Virus, which protects users when suspicious objects are downloaded from malicious or infected web pages. These malicious pages are purposefully created by cybercriminals. Websites that host user-generated content, such as message boards, as well as compromised legitimate sites, can become infected.
The following statistics show the distribution by country/territory of the sources of internet attacks blocked by Kaspersky products on user computers (web pages redirecting to exploits, sites containing exploits and other malicious programs, botnet C&C centers, and so on). One or more web-based attacks could originate from each unique host.
To determine the geographic source of web attacks, we matched the domain name with the real IP address where the domain is hosted, then identified the geographic location of that IP address (GeoIP).
In Q1 2026, Kaspersky solutions blocked 343,823,407 attacks launched from internet resources worldwide. Web Anti-Virus was triggered by 49,983,611 unique URLs.
Web-based attacks by country/territory, Q1 2026 (download)
To assess the risk of malware infection via the internet for users’ computers in different countries and territories, we calculated the share of Kaspersky users in each location on whose computers Web Anti-Virus was triggered during the reporting period. The resulting data provides an indication of the aggressiveness of the environment in which computers operate in different countries and territories.
This ranked list includes only attacks by malicious objects classified as Malware. Our calculations leave out Web Anti-Virus detections of potentially dangerous or unwanted programs, such as RiskTool or adware.
| Country/territory* | %** | |
| 1 | Venezuela | 9.33 |
| 2 | Hungary | 8.16 |
| 3 | Italy | 7.58 |
| 4 | Tajikistan | 7.48 |
| 5 | India | 7.21 |
| 6 | Greece | 7.13 |
| 7 | Portugal | 7.10 |
| 8 | France | 7.05 |
| 9 | Belgium | 6.83 |
| 10 | Slovakia | 6.80 |
| 11 | Vietnam | 6.62 |
| 12 | Bosnia and Herzegovina | 6.57 |
| 13 | Canada | 6.56 |
| 14 | Serbia | 6.50 |
| 15 | Tunisia | 6.36 |
| 16 | Qatar | 6.01 |
| 17 | Spain | 5.95 |
| 18 | Germany | 5.95 |
| 19 | Sri Lanka | 5.89 |
| 20 | Brazil | 5.88 |
* Excluded are countries and territories with relatively few (under 10,000) Kaspersky users.
** Unique users targeted by web-based Malware attacks as a percentage of all unique users of Kaspersky products in the country/territory.
On average during the quarter, 4.73% of users’ computers worldwide were subjected to at least one Malware web attack.
Statistics on local infections of user computers are an important indicator. They include objects that penetrated the target computer by infecting files or removable media, or initially made their way onto the computer in non-open form. Examples of the latter are programs in complex installers and encrypted files.
Data in this section is based on analyzing statistics produced by anti-virus scans of files on the hard drive at the moment they were created or accessed, and the results of scanning removable storage media. The statistics are based on detection verdicts from the On-Access Scan (OAS) and On-Demand Scan (ODS) modules of File Anti-Virus and include detections of malicious programs located on user computers or removable media connected to the computers, such as flash drives, camera memory cards, phones, or external hard drives.
In Q1 2026, our File Anti-Virus detected 15,831,319 malicious and potentially unwanted objects.
For each country and territory, we calculated the percentage of Kaspersky users whose computers had the File Anti-Virus triggered at least once during the reporting period. This statistic reflects the level of personal computer infection in different countries and territories around the world.
Note that this ranked list includes only attacks by malicious objects classified as Malware. Our calculations leave out File Anti-Virus detections of potentially dangerous or unwanted programs, such as RiskTool or adware.
| Country/territory* | %** | |
| 1 | Turkmenistan | 47.96 |
| 2 | Tajikistan | 31.48 |
| 3 | Cuba | 31.03 |
| 4 | Yemen | 29.59 |
| 5 | Afghanistan | 28.47 |
| 6 | Burundi | 26.93 |
| 7 | Uzbekistan | 24.81 |
| 8 | Syria | 23.08 |
| 9 | Nicaragua | 21.97 |
| 10 | Cameroon | 21.60 |
| 11 | China | 21.09 |
| 12 | Mozambique | 21.02 |
| 13 | Algeria | 20.64 |
| 14 | Democratic Republic of the Congo | 20.63 |
| 15 | Bangladesh | 20.44 |
| 16 | Mali | 20.35 |
| 17 | Republic of the Congo | 20.23 |
| 18 | Madagascar | 20.00 |
| 19 | Belarus | 19.78 |
| 20 | Tanzania | 19.52 |
* Excluded are countries and territories with relatively few (under 10,000) Kaspersky users.
** Unique users on whose computers local Malware threats were blocked, as a percentage of all unique users of Kaspersky products in the country/territory.
On average worldwide, Malware local threats were detected at least once on 11.55% of users’ computers during Q1.
Russia scored 11.92% in these rankings.
The percentage of ICS computers on which malicious objects were blocked has been decreasing since the beginning of 2024. In Q4 2025, it was 19.7%. Over the past three years, the percentage has decreased by 1.36 times, and by 1.25 times since Q4 2023.
Percentage of ICS computers on which malicious objects were blocked, Q1 2023–Q4 2025
Regionally, in Q4 2025, the percentage of ICS computers on which malicious objects were blocked ranged from 8.5% in Northern Europe to 27.3% in Africa.
Regions ranked by percentage of ICS computers on which malicious objects were blocked
Four regions saw an increase in the percentage of ICS computers on which malicious objects were blocked. The most notable increases occurred in Southern Europe and South Asia. In Q3 2025, East Asia experienced a sharp increase triggered by the local spread of malicious scripts, but the figure has since returned to normal.
Changes in percentage of ICS computers on which malicious objects were blocked, Q4 2025
In Q4 2025, the percentage of ICS computers on which wormsinemailattachments were blocked increasedinallregions of the world.
Many of the blocked threats were related to the worm Backdoor.MSIL.XWorm. This malware is designed to persist on the system and then remotely control it.
Interestingly, this threat was not detected on ICS computers in the previous quarter, yet it appeared in all regions in Q4 2025.
A study found that the active spread of Backdoor.MSIL.XWorm via phishing emails was likely linked to the use by hackers of another malware obfuscation technique that was actively used during massive phishing campaigns in Q4 2025. These campaigns have been known since 2024 as “Curriculum-vitae-catalina”.
The attackers distributed phishing emails to HR managers, recruiters, and employees responsible for hiring. The messages were disguised as responses from job applicants with subjects such as “Resume” or “Attached Resume” and contained a malicious executable file under the guise of a curriculum vitae. Typically, the file was named Curriculum Vitae-Catalina.exe. When executed, it infected the system.
In Q4 2025, the threat spread across regions in two waves — one in October and another in November. Russia, Western Europe, South America, and North America (Canada) were attacked in October. A spike in Backdoor.MSIL.XWorm blocking was observed in other regions in November. The attack subsided in all regions in December.
The highest percentage of ICS computers on which Backdoor.MSIL.XWorm was blocked was observed in regions where threats from email clients had been historically blocked at high rates on ICS computers: Southern Europe, South America, and the Middle East.
At the same time, in Africa, where USB storage media are still actively used, the threat was also detected when removable devices were connected to ICS computers.
The biometrics sector has historically led the rankings of industries and OT infrastructures surveyed in this report in terms of the percentage of ICS computers on which malicious objects were blocked.
These systems are characterized by accessibility to and from the internet, as well as minimal cybersecurity controls by the consumer organization.
Rankings of industries and OT infrastructure by percentage of ICS computers on which malicious objects were blocked
In Q4 2025, the percentage of ICS computers on which malicious objects were blocked increased only in one sector: oil and gas. The corresponding figures increased in two regions: Russia, and Central Asia and the South Caucasus.
However, if we look at a broader time span, there is a downward trend in all the surveyed industries.
Percentage of ICS computers on which malicious objects were blocked in selected industries
In Q4 2025, Kaspersky protection solutions blocked malware from 10,142 different malware families of various categories on industrial automation systems.
Percentage of ICS computers on which the activity of malicious objects from various categories was blocked
In Q4 2025, there was an increase in the percentage of ICS computers on which worms, and miners in the form of executable files for Windows were blocked. These were the only categories that exhibited an increase.
Depending on the threat detection and blocking scenario, it is not always possible to reliably identify the source. The circumstantial evidence for a specific source can be the blocked threat’s type (category).
The internet (visiting malicious or compromised internet resources; malicious content distributed via messengers; cloud data storage and processing services and CDNs), email clients (phishing emails), and removable storage devices remain the primary sources of threats to computers in an organization’s technology infrastructure.
In Q4 2025, the percentage of ICS computers on which malicious objects from various sources were blocked decreased. All sources except email clients saw their lowest levels in three years.
Percentage of ICS computers on which malicious objects from various sources were blocked
The same computer can be attacked by several categories of malware from the same source during a quarter. That computer is counted when calculating the percentage of attacked computers for each threat category, but is only counted once for the threat source (we count unique attacked computers). In addition, it is not always possible to accurately determine the initial infection attempt. Therefore, the total percentage of ICS computers on which various categories of threats from a certain source were blocked can exceed the percentage of computers affected by the source itself.
Typical attacks blocked within an OT network are multi-step sequences of malicious activities, where each subsequent step of the attackers is aimed at increasing privileges and/or gaining access to other systems by exploiting the security problems of industrial enterprises, including OT infrastructures.
In Q4 2025, the percentage of ICS computers on which denylisted internet resources were blocked decreased to 3.26%. This is the lowest quarterly figure since the beginning of 2022, and it has decreased by 1.8 times since Q2 2025.
Percentage of ICS computers on which denylisted internet resources were blocked, Q1 2023–Q4 2025
Regionally, the percentage of ICS computers on which denylisted internet resources were blocked ranged from 1.74% in Northern Europe to 3.93% in Southeast Asia, which displaced Africa from first place. Russia rounded out the top three regions for this indicator.
The percentage of ICS computers on which malicious documents were blocked increased for three consecutive quarters. However, in Q4 2025 it decreased by 0.22 pp to 1.76%.
Percentage of ICS computers on which malicious documents were blocked, Q1 2023–Q4 2025
Regionally, the percentage ranged from 0.46% in Northern Europe to 3.82% in Southern Europe. In Q4 2025, the indicator increased in Eastern Europe, Russia, and Western Europe.
The percentage of ICS computers on which malicious scripts and phishing pages were blocked decreased to 6.58%. Despite the decline, this category led the rankings of threat categories in terms of the percentage of ICS computers on which they were blocked.
Percentage of ICS computers on which malicious scripts and phishing pages were blocked, Q1 2023–Q4 2025
Regionally, the percentage ranged from 2.52% in Northern Europe to 10.50% in South Asia. The indicator increased in South Asia, South America, Southern Europe, and Africa. South Asia saw the most notable increase, at 3.47 pp.
Malicious objects used to initially infect computers deliver next-stage malware — spyware, ransomware, and miners — to victims’ computers. As a rule, the higher the percentage of ICS computers on which the initial infection malware is blocked, the higher the percentage for next-stage malware.
In Q4 2025, the percentage of ICS computers on which spyware, ransomware and web miners were blocked decreased. The rates were:
The percentage of ICS computers on which miners in the form of executable files for Windows were blocked increased to 0.60% (up 0.03 pp).
Self-propagating malware (worms and viruses) is a category unto itself. Worms and virus-infected files were originally used for initial infection, but as botnet functionality evolved, they took on next-stage characteristics.
To spread across ICS networks, viruses and worms rely on removable media and network folders and are distributed in the form of infected files, such as archives with backups, office documents, pirated games and hacked applications. In rarer and more dangerous cases, web pages with network equipment settings, as well as files stored in internal document management systems, product lifecycle management (PLM) systems, resource management (ERP) systems and other web services are infected.
In Q4 2025, the percentage of ICS computers on which worms were blocked increased by 1.6 times to 1.60%. As mentioned above, this increase is related to a global phishing attack that spread the Backdoor.MSIL.XWorm backdoor worm across all regions of the world. The percentage increased in all regions. The biggest increase (up by 2.16 times) was in Southern Europe. The malware was primary distributed through email clients, and Southern Europe led the way in terms of the percentage of ICS computers on which threats from email clients were blocked.
The percentage of ICS computers on which viruses were blocked decreased to 1.33%.
This category of malware can spread in a variety of ways, so it does not belong to a specific group.
After an increase in the previous quarter, the percentage of ICS computers on which AutoCAD malware was blocked decreased to 0.29% in Q4 2025.
For more information on industrial threats see the full version of the report.
The percentage of ICS computers on which malicious objects were blocked has been decreasing since the beginning of 2024. In Q4 2025, it was 19.7%. Over the past three years, the percentage has decreased by 1.36 times, and by 1.25 times since Q4 2023.
Percentage of ICS computers on which malicious objects were blocked, Q1 2023–Q4 2025
Regionally, in Q4 2025, the percentage of ICS computers on which malicious objects were blocked ranged from 8.5% in Northern Europe to 27.3% in Africa.
Regions ranked by percentage of ICS computers on which malicious objects were blocked
Four regions saw an increase in the percentage of ICS computers on which malicious objects were blocked. The most notable increases occurred in Southern Europe and South Asia. In Q3 2025, East Asia experienced a sharp increase triggered by the local spread of malicious scripts, but the figure has since returned to normal.
Changes in percentage of ICS computers on which malicious objects were blocked, Q4 2025
In Q4 2025, the percentage of ICS computers on which wormsinemailattachments were blocked increasedinallregions of the world.
Many of the blocked threats were related to the worm Backdoor.MSIL.XWorm. This malware is designed to persist on the system and then remotely control it.
Interestingly, this threat was not detected on ICS computers in the previous quarter, yet it appeared in all regions in Q4 2025.
A study found that the active spread of Backdoor.MSIL.XWorm via phishing emails was likely linked to the use by hackers of another malware obfuscation technique that was actively used during massive phishing campaigns in Q4 2025. These campaigns have been known since 2024 as “Curriculum-vitae-catalina”.
The attackers distributed phishing emails to HR managers, recruiters, and employees responsible for hiring. The messages were disguised as responses from job applicants with subjects such as “Resume” or “Attached Resume” and contained a malicious executable file under the guise of a curriculum vitae. Typically, the file was named Curriculum Vitae-Catalina.exe. When executed, it infected the system.
In Q4 2025, the threat spread across regions in two waves — one in October and another in November. Russia, Western Europe, South America, and North America (Canada) were attacked in October. A spike in Backdoor.MSIL.XWorm blocking was observed in other regions in November. The attack subsided in all regions in December.
The highest percentage of ICS computers on which Backdoor.MSIL.XWorm was blocked was observed in regions where threats from email clients had been historically blocked at high rates on ICS computers: Southern Europe, South America, and the Middle East.
At the same time, in Africa, where USB storage media are still actively used, the threat was also detected when removable devices were connected to ICS computers.
The biometrics sector has historically led the rankings of industries and OT infrastructures surveyed in this report in terms of the percentage of ICS computers on which malicious objects were blocked.
These systems are characterized by accessibility to and from the internet, as well as minimal cybersecurity controls by the consumer organization.
Rankings of industries and OT infrastructure by percentage of ICS computers on which malicious objects were blocked
In Q4 2025, the percentage of ICS computers on which malicious objects were blocked increased only in one sector: oil and gas. The corresponding figures increased in two regions: Russia, and Central Asia and the South Caucasus.
However, if we look at a broader time span, there is a downward trend in all the surveyed industries.
Percentage of ICS computers on which malicious objects were blocked in selected industries
In Q4 2025, Kaspersky protection solutions blocked malware from 10,142 different malware families of various categories on industrial automation systems.
Percentage of ICS computers on which the activity of malicious objects from various categories was blocked
In Q4 2025, there was an increase in the percentage of ICS computers on which worms, and miners in the form of executable files for Windows were blocked. These were the only categories that exhibited an increase.
Depending on the threat detection and blocking scenario, it is not always possible to reliably identify the source. The circumstantial evidence for a specific source can be the blocked threat’s type (category).
The internet (visiting malicious or compromised internet resources; malicious content distributed via messengers; cloud data storage and processing services and CDNs), email clients (phishing emails), and removable storage devices remain the primary sources of threats to computers in an organization’s technology infrastructure.
In Q4 2025, the percentage of ICS computers on which malicious objects from various sources were blocked decreased. All sources except email clients saw their lowest levels in three years.
Percentage of ICS computers on which malicious objects from various sources were blocked
The same computer can be attacked by several categories of malware from the same source during a quarter. That computer is counted when calculating the percentage of attacked computers for each threat category, but is only counted once for the threat source (we count unique attacked computers). In addition, it is not always possible to accurately determine the initial infection attempt. Therefore, the total percentage of ICS computers on which various categories of threats from a certain source were blocked can exceed the percentage of computers affected by the source itself.
Typical attacks blocked within an OT network are multi-step sequences of malicious activities, where each subsequent step of the attackers is aimed at increasing privileges and/or gaining access to other systems by exploiting the security problems of industrial enterprises, including OT infrastructures.
In Q4 2025, the percentage of ICS computers on which denylisted internet resources were blocked decreased to 3.26%. This is the lowest quarterly figure since the beginning of 2022, and it has decreased by 1.8 times since Q2 2025.
Percentage of ICS computers on which denylisted internet resources were blocked, Q1 2023–Q4 2025
Regionally, the percentage of ICS computers on which denylisted internet resources were blocked ranged from 1.74% in Northern Europe to 3.93% in Southeast Asia, which displaced Africa from first place. Russia rounded out the top three regions for this indicator.
The percentage of ICS computers on which malicious documents were blocked increased for three consecutive quarters. However, in Q4 2025 it decreased by 0.22 pp to 1.76%.
Percentage of ICS computers on which malicious documents were blocked, Q1 2023–Q4 2025
Regionally, the percentage ranged from 0.46% in Northern Europe to 3.82% in Southern Europe. In Q4 2025, the indicator increased in Eastern Europe, Russia, and Western Europe.
The percentage of ICS computers on which malicious scripts and phishing pages were blocked decreased to 6.58%. Despite the decline, this category led the rankings of threat categories in terms of the percentage of ICS computers on which they were blocked.
Percentage of ICS computers on which malicious scripts and phishing pages were blocked, Q1 2023–Q4 2025
Regionally, the percentage ranged from 2.52% in Northern Europe to 10.50% in South Asia. The indicator increased in South Asia, South America, Southern Europe, and Africa. South Asia saw the most notable increase, at 3.47 pp.
Malicious objects used to initially infect computers deliver next-stage malware — spyware, ransomware, and miners — to victims’ computers. As a rule, the higher the percentage of ICS computers on which the initial infection malware is blocked, the higher the percentage for next-stage malware.
In Q4 2025, the percentage of ICS computers on which spyware, ransomware and web miners were blocked decreased. The rates were:
The percentage of ICS computers on which miners in the form of executable files for Windows were blocked increased to 0.60% (up 0.03 pp).
Self-propagating malware (worms and viruses) is a category unto itself. Worms and virus-infected files were originally used for initial infection, but as botnet functionality evolved, they took on next-stage characteristics.
To spread across ICS networks, viruses and worms rely on removable media and network folders and are distributed in the form of infected files, such as archives with backups, office documents, pirated games and hacked applications. In rarer and more dangerous cases, web pages with network equipment settings, as well as files stored in internal document management systems, product lifecycle management (PLM) systems, resource management (ERP) systems and other web services are infected.
In Q4 2025, the percentage of ICS computers on which worms were blocked increased by 1.6 times to 1.60%. As mentioned above, this increase is related to a global phishing attack that spread the Backdoor.MSIL.XWorm backdoor worm across all regions of the world. The percentage increased in all regions. The biggest increase (up by 2.16 times) was in Southern Europe. The malware was primary distributed through email clients, and Southern Europe led the way in terms of the percentage of ICS computers on which threats from email clients were blocked.
The percentage of ICS computers on which viruses were blocked decreased to 1.33%.
This category of malware can spread in a variety of ways, so it does not belong to a specific group.
After an increase in the previous quarter, the percentage of ICS computers on which AutoCAD malware was blocked decreased to 0.29% in Q4 2025.
For more information on industrial threats see the full version of the report.
A hacktivist group with links to Iran’s intelligence agencies is claiming responsibility for a data-wiping attack against Stryker, a global medical technology company based in Michigan. News reports out of Ireland, Stryker’s largest hub outside of the United States, said the company sent home more than 5,000 workers there today. Meanwhile, a voicemail message at Stryker’s main U.S. headquarters says the company is currently experiencing a building emergency.
Based in Kalamazoo, Michigan, Stryker [NYSE:SYK] is a medical and surgical equipment maker that reported $25 billion in global sales last year. In a lengthy statement posted to Telegram, a hacktivist group known as Handala (a.k.a. Handala Hack Team) claimed that Stryker’s offices in 79 countries have been forced to shut down after the group erased data from more than 200,000 systems, servers and mobile devices.
A manifesto posted by the Iran-backed hacktivist group Handala, claiming a mass data-wiping attack against medical technology maker Stryker.
“All the acquired data is now in the hands of the free people of the world, ready to be used for the true advancement of humanity and the exposure of injustice and corruption,” a portion of the Handala statement reads.
The group said the wiper attack was in retaliation for a Feb. 28 missile strike that hit an Iranian school and killed at least 175 people, most of them children. The New York Times reports today that an ongoing military investigation has determined the United States is responsible for the deadly Tomahawk missile strike.
Handala was one of several hacker groups recently profiled by Palo Alto Networks, which links it to Iran’s Ministry of Intelligence and Security (MOIS). Palo Alto says Handala surfaced in late 2023 and is assessed as one of several online personas maintained by Void Manticore, a MOIS-affiliated actor.
Stryker’s website says the company has 56,000 employees in 61 countries. A phone call placed Wednesday morning to the media line at Stryker’s Michigan headquarters sent this author to a voicemail message that stated, “We are currently experiencing a building emergency. Please try your call again later.”
A report Wednesday morning from the Irish Examiner said Stryker staff are now communicating via WhatsApp for any updates on when they can return to work. The story quoted an unnamed employee saying anything connected to the network is down, and that “anyone with Microsoft Outlook on their personal phones had their devices wiped.”
“Multiple sources have said that systems in the Cork headquarters have been ‘shut down’ and that Stryker devices held by employees have been wiped out,” the Examiner reported. “The login pages coming up on these devices have been defaced with the Handala logo.”
Wiper attacks usually involve malicious software designed to overwrite any existing data on infected devices. But a trusted source with knowledge of the attack who spoke on condition of anonymity told KrebsOnSecurity the perpetrators in this case appear to have used a Microsoft service called Microsoft Intune to issue a ‘remote wipe’ command against all connected devices.
Intune is a cloud-based solution built for IT teams to enforce security and data compliance policies, and it provides a single, web-based administrative console to monitor and control devices regardless of location. The Intune connection is supported by this Reddit discussion on the Stryker outage, where several users who claimed to be Stryker employees said they were told to uninstall Intune urgently.
Palo Alto says Handala’s hack-and-leak activity is primarily focused on Israel, with occasional targeting outside that scope when it serves a specific agenda. The security firm said Handala also has taken credit for recent attacks against fuel systems in Jordan and an Israeli energy exploration company.
“Recent observed activities are opportunistic and ‘quick and dirty,’ with a noticeable focus on supply-chain footholds (e.g., IT/service providers) to reach downstream victims, followed by ‘proof’ posts to amplify credibility and intimidate targets,” Palo Alto researchers wrote.
The Handala manifesto posted to Telegram referred to Stryker as a “Zionist-rooted corporation,” which may be a reference to the company’s 2019 acquisition of the Israeli company OrthoSpace.
Stryker is a major supplier of medical devices, and the ongoing attack is already affecting healthcare providers. One healthcare professional at a major university medical system in the United States told KrebsOnSecurity they are currently unable to order surgical supplies that they normally source through Stryker.
“This is a real-world supply chain attack,” the expert said, who asked to remain anonymous because they were not authorized to speak to the press. “Pretty much every hospital in the U.S. that performs surgeries uses their supplies.”
John Riggi, national advisor for the American Hospital Association (AHA), said the AHA is not aware of any supply-chain disruptions as of yet.
“We are aware of reports of the cyber attack against Stryker and are actively exchanging information with the hospital field and the federal government to understand the nature of the threat and assess any impact to hospital operations,” Riggi said in an email. “As of this time, we are not aware of any direct impacts or disruptions to U.S. hospitals as a result of this attack. That may change as hospitals evaluate services, technology and supply chain related to Stryker and if the duration of the attack extends.”
According to a March 11 memo from the state of Maryland’s Institute for Emergency Medical Services Systems, Stryker indicated that some of their computer systems have been impacted by a “global network disruption.” The memo indicates that in response to the attack, a number of hospitals have opted to disconnect from Stryker’s various online services, including LifeNet, which allows paramedics to transmit EKGs to emergency physicians so that heart attack patients can expedite their treatment when they arrive at the hospital.
“As a precaution, some hospitals have temporarily suspended their connection to Stryker systems, including LIFENET, while others have maintained the connection,” wrote Timothy Chizmar, the state’s EMS medical director. “The Maryland Medical Protocols for EMS requires ECG transmission for patients with acute coronary syndrome (or STEMI). However, if you are unable to transmit a 12 Lead ECG to a receiving hospital, you should initiate radio consultation and describe the findings on the ECG.”
This is a developing story. Updates will be noted with a timestamp.
Update, 2:54 p.m. ET: Added comment from Riggi and perspectives on this attack’s potential to turn into a supply-chain problem for the healthcare system.
Update, Mar. 12, 7:59 a.m. ET: Added information about the outage affecting Stryker’s online services.
Recently, we uncovered BeatBanker, an Android‑based malware campaign targeting Brazil. It spreads primarily through phishing attacks via a website disguised as the Google Play Store. To achieve their goals, the malicious APKs carry multiple components, including a cryptocurrency miner and a banking Trojan capable of completely hijacking the device and spoofing screens, among other things. In a more recent campaign, the attackers switched from the banker to a known RAT.
This blog post outlines each phase of the malware’s activity on the victim’s handset, explains how it ensures long‑term persistence, and describes its communication with mining pools.
The campaign begins with a counterfeit website, cupomgratisfood[.]shop, that looks exactly like the Google Play Store. This fake app store contains the “INSS Reembolso” app, which is in fact a Trojan. There are also other apps that are most likely Trojans too, but we haven’t obtained them.
The INSS Reembolso app poses as the official mobile portal of Brazil’s Instituto Nacional do Seguro Social (INSS), a government service that citizens can use to perform more than 90 social security tasks, from retirement applications and medical exam scheduling to viewing CNIS (National Registry of Social Information), tax, and payment statements, as well as tracking request statuses. By masquerading as this trusted platform, the fake page tricks users into downloading the malicious APK.
The initial APK file is packed and makes use of a native shared library (ELF) named libludwwiuh.so that is included in the application. Its main task is to decrypt another ELF file that will ultimately load the original DEX file.
First, libludwwiuh.so decrypts an embedded encrypted ELF file and drops it to a temporary location on the device under the name l.so. The same code that loaded the libludwwiuh.so library then loads this file, which uses the Java Native Interface (JNI) to continue execution.
The library does not have calls to its functions; instead, it directly calls the Java methods whose names are encrypted in the stack using XOR (stack strings technique) and restored at runtime:
Initially, the loader makes a request to collect some network information using https://ipapi.is to determine whether the infected device is a mobile device, if a VPN is being used, and to obtain the IP address and other details.
This loader is engineered to bypass mobile antivirus products by utilizing dalvik.system.InMemoryDexClassLoader. It loads malicious DEX code directly into memory, avoiding the creation of any files on the device’s file system. The necessary DEX files can be extracted using dynamic analysis tools like Frida.
Furthermore, the sample incorporates anti-analysis techniques, including runtime checks for emulated or analysis environments. When such an environment is detected (or when specific checks fail, such as verification of the supported CPU_ABI), the malware can immediately terminate its own process by invoking android.os.Process.killProcess(android.os.Process.myPid()), effectively self-destructing to hinder dynamic analysis.
After execution, the malware displays a user interface that mimics the Google Play Store page, showing an update available for the INSS Reembolso app. This is intended to trick victims into granting installation permissions by tapping the “Update” button, which allows the download of additional hidden malicious payloads.
The payload delivery process mimics the application update. The malware uses the REQUEST_INSTALL_PACKAGES permission to install APK files directly into its memory, bypassing Google Play. To ensure persistence, the malware keeps a notification about a system update pinned to the foreground and activates a foreground service with silent media playback, a tactic designed to prevent the operating system from terminating the malicious process.
When UPDATE is clicked on a fake Play Store screen, the malicious application downloads and executes an ELF file containing a cryptomining payload. It starts by issuing a GET request to the C2 server at either hxxps://accessor.fud2026.com/libmine-<arch>.so or hxxps://fud2026.com/libmine-<arch>.so. The downloaded file is then decrypted using CipherInputStream(), with the decryption key being derived from the SHA-1 hash of the downloaded file’s name, ensuring that each version of the file is encrypted with a unique key. The resulting file is renamed d-miner.
The decrypted payload is an ARM-compiled XMRig 6.17.0 binary. At runtime, it attempts to create a direct TCP connection to pool.fud2026[.]com:9000. If successful, it uses this endpoint; otherwise, it automatically switches to the proxy endpoint pool-proxy.fud2026[.]com:9000. The final command-line arguments passed to XMRig are as follows:
-o pool.fud2026[.]com:9000 or pool-proxy.fud2026[.]com:9000 (selected dynamically)-k (keepalive)--tls (encrypted connection)--no-color (disable colored output)--nicehash (NiceHash protocol support)
The malware uses Google’s legitimate Firebase Cloud Messaging (FCM) as its primary command‑and‑control (C2) channel. In the analyzed sample, each FCM message received triggers a check of the battery status, temperature, installation date, and user presence. A hidden cryptocurrency miner is then started or stopped as needed. These mechanisms ensure that infected devices remain permanently accessible and responsive to the attacker’s instructions, which are sent through the FCM infrastructure. The attacker monitors the following information:
The KeepAliveServiceMediaPlayback component ensures continuous operation by initiating uninterrupted playback via MediaPlayer. It keeps the service active in the foreground using a notification and loads a small, continuous audio file. This constant activity prevents the system from suspending or terminating the process due to inactivity.
The identified audio output8.mp3 is five seconds long and plays on a loop. It contains some Chinese words.
BeatBanker compromises the machine with a cryptocurrency miner and introduces another malicious APK that acts as a banking Trojan. This Trojan uses previously obtained permission to install an additional APK called INSS Reebolso, which is associated with the package com.destination.cosmetics.
Similar to the initial malicious APK, it establishes persistence by creating and displaying a fixed notification in the foreground to hinder removal. Furthermore, BeatBanker attempts to trick the user into granting accessibility permissions to the package.
Leveraging the acquired accessibility permissions, the malware establishes comprehensive control over the device’s user interface.
The Trojan constantly monitors the foreground application. It targets the official Binance application (com.binance.dev) and the Trust Wallet application (com.wallet.crypto.trustapp), focusing on USDT transactions. When a user tries to withdraw USDT, the Trojan instantly overlays the target app’s transaction confirmation screen with a highly realistic page sourced from Base64-encoded HTML stored in the banking module.
The module captures the original withdrawal address and amount, then surreptitiously substitutes the destination address with an attacker-controlled one using AccessibilityNodeInfo.ACTION_SET_TEXT. The overlay page shows the victim the address they copied (for Binance) or just shows a loading icon (for Trust Wallet), leading them to believe they are remitting funds to the intended wallet when, in fact, the cryptocurrency is transferred to the attacker’s designated address.
Fake overlay pages: Binance (left) and Trust Wallet (right)
BeatBanker’s banking module monitors the following browsers installed on the victim’s device:
Its aim is to collect the URLs accessed by the victim using the regular expression ^(?:https?://)?(?:[^:/\\\\]+\\\\.)?([^:/\\\\]+\\\\.[^:/\\\\]+). It also offers management functionalities (add, edit, delete, list) for links saved in the device’s default browser, as well as the ability to open links provided by the attacker.
BeatBanker is also designed to receive commands from the C2. These commands aim to collect the victim’s personal information and gain complete control of the device.
| Command | Description |
| 0 | Starts dynamic loading of the DEX class |
| Update | Simulates software update and locks the screen |
| msg: | Displays a Toast message with the provided text |
| goauth<*> | Opens Google Authenticator (if installed) and enables the AccessService.SendGoogleAuth flag used to monitor and retrieve authentication codes |
| kill<*> | Sets the protection bypass flag AccessService.bypass to “True”and sets the initializeService.uninstall flag to “Off” |
| srec<*> | Starts or stops audio recording (microphone), storing the recorded data in a file with an automatically generated filename. The following path format is used to store the recording: /Config/sys/apps/rc/<timestamp>_0REC<last5digits>.wav |
| pst<*> | Pastes text from the clipboard (via Accessibility Services) |
| GRC<*> | Lists all existing audio recording files |
| gtrc<*> | Sends a specific audio recording file to the C2 |
| lcm<*> | Lists supported front camera resolutions |
| usdtress<*> | Sets a USDT cryptocurrency address when a transaction is detected |
| lnk<*> | Opens a link in the browser |
| EHP<*> | Updates login credentials (host, port, name) and restarts the application |
| ssms<*> | Sends an SMS message (individually or to all contacts) |
| CRD<*> | Adds (E>) or removes (D>) packages from the list of blocked/disabled applications |
| SFD<*> | Deletes files (logs, recordings, tones) or uninstalls itself |
| adm<>lck<> | Immediately locks the screen using Device Administrator permissions |
| adm<>wip<> | Performs a complete device data wipe (factory reset) |
| Aclk<*> | Executes a sequence of automatic taps (auto-clicker) or lists existing macros |
| KBO<*>lod | Checks the status of the keylogger and virtual keyboard |
| KBO<*>AKP/AKA | Requests permission to activate a custom virtual keyboard or activates one |
| KBO<*>ENB: | Enables (1) or disables (0) the keylogger |
| RPM<*>lod | Checks the status of all critical permissions |
| RPM<*>ACC | Requests Accessibility Services permission |
| RPM<*>DOZ | Requests Doze/App Standby permission (battery optimization) |
| RPM<*>DRW | Requests Draw Over Other Apps permission (overlay) |
| RPM<*>INST | Requests permission to install apps from unknown sources (Android 8+) |
| ussd<*> | Executes a USSD code (e.g., *#06# for IMEI) |
| Blkt<*> | Sets the text for the lock overlay |
| BLKV<*> | Enables or disables full-screen lock using WindowManager.LayoutParams.TYPE_APPLICATION_OVERLAY to display a black FrameLayout element over the entire screen |
| SCRD<> / SCRD2<> | Enables/disables real-time screen text submission to the C2 (screen reading) |
| rdall<*> | Clears or sends all keylogger logs |
| rdd<*> | Deletes a specific log file |
| rd<*> | Sends the content of a specific keylogger file |
| MO<*> | Manages application monitoring (add, remove, list, screenshot, etc.) |
| FW<*> | Controls VPN and firewall (status, block/allow apps, enable/disable) |
| noti<*> | Creates persistent and custom notifications |
| sp<*> | Executes a sequence of swipes/taps (gesture macro) |
| lodp<*> | Manages saved links in the internal browser (add, edit, delete, list) |
| scc: | Starts screen capture/streaming |
Our recent detection efforts uncovered a campaign leveraging a fraudulent StarLink application that we assess as being a new BeatBanker variant. The infection chain mirrored previous instances, employing identical persistence methods – specifically, looped audio and fixed notifications. Furthermore, this variant included a crypto miner similar to those seen previously. However, rather than deploying the banking module, it was observed distributing the BTMOB remote administration tool.
The BTMOB APK is highly obfuscated and contains a class responsible for configuration. Despite this, it’s possible to identify a parser used to define the application’s behavior on the device, as well as persistence features, such as protection against restart, deletion, lock reset, and the ability to perform real-time screen recording.
The simple decryption routine uses repetitive XOR between the encrypted data and a short key. It iterates through the encrypted text byte by byte, repeating the key from the beginning whenever it reaches the end. At each position, the sample XORs the encrypted byte with the corresponding byte of the key, overwriting the original. Ultimately, the modified byte array contains the original text, which is then converted to UTF-8 and returned as a string.
BTMOB is an Android remote administration tool that evolved from the CraxsRAT, CypherRAT, and SpySolr families. It provides full remote control of the victim’s device and is sold in a Malware-as-a-Service (MaaS) model. On July 26, 2025, a threat actor posted a screenshot of the BTMOB RAT in action on GitHub under the username “brmobrats”, along with a link to the website btmob[.]xyz. The website contains information about the BTMOB RAT, including its version history, features, and other relevant details. It also redirects to a Telegram contact. Cyfirma has already linked this account to CraxsRAT and CypherRAT.
Recently, a YouTube channel was created by a different threat actor that features videos demonstrating how to use the malware and facilitate its sale via Telegram.
We also saw the distribution and sale of leaked BTMOB source code on some dark web forums. This may suggest that the creator of BeatBanker acquired BTMOB from its original author or the source of the leak and is utilizing it as the final payload, replacing the banking module observed in the INSS Reebolso incident.
In terms of functionality, BTMOB maintains a set of intrusive capabilities, including: automatic granting of permissions, especially on Android 13–15 devices; use of a black FrameLayout overlay to hide system notifications similar to the one observed in the banking module; silent installation; persistent background execution; and mechanisms designed to capture screen lock credentials, including PINs, patterns, and passwords. The malware also provides access to front and rear cameras, captures keystrokes in real time, monitors GPS location, and constantly collects sensitive data. Together, these functionalities provide the operator with comprehensive remote control, persistent access, and extensive surveillance capabilities over compromised devices.
All variants of BeatBanker – those with the banking module and those with the BTMOB RAT – were detected on victims in Brazil. Some of the samples that deliver BTMOB appear to use WhatsApp to spread, as well as phishing pages.
BeatBanker is an excellent example of how mobile threats are becoming more sophisticated and multi-layered. Initially focused in Brazil, this Trojan operates a dual campaign, acting as a Monero cryptocurrency miner, discreetly draining your device’s battery life while also stealing banking credentials and tampering with cryptocurrency transactions. Moreover, the most recent version goes even further, substituting the banking module with a full-fledged BTMOB RAT.
The attackers have devised inventive tricks to maintain persistence. They keep the process alive by looping an almost inaudible audio track, which prevents the operating system from terminating it and allows BeatBanker to remain active for extended periods.
Furthermore, the threat demonstrates an obsession with staying hidden. It monitors device usage, battery level and temperature. It even uses Google’s legitimate system (FCM) to receive commands. The threat’s banking module is capable of overlaying Binance and Trust Wallet screens and diverting USDT funds to the criminals’ wallets before the victim even notices.
The lesson here is clear: distrust is your best defense. BeatBanker spreads through fake websites that mimic Google Play, disguising itself as trustworthy government applications. To protect yourself against threats like this, it is essential to:
Our solutions detect this threat as HEUR:Trojan-Dropper.AndroidOS.BeatBanker and HEUR:Trojan-Dropper.AndroidOS.Banker.*
Additional IoCs, TTPs and detection rules are available to customers of our Threat Intelligence Reporting service. For more details, contact us at crimewareintel@kaspersky.com.
Host-based (MD5 hashes)
F6C979198809E13859196B135D21E79B – INSS Reebolso
D3005BF1D52B40B0B72B3C3B1773336B – StarLink
Domains
cupomgratisfood[.]shop
fud2026[.]com
accessor.fud2026[.]com
pool.fud2026[.]com
pool-proxy.fud2026[.]com
aptabase.fud2026[.]com
aptabase.khwdji319[.]xyz
btmob[.]xyz
bt-mob[.]net
Recently, we uncovered BeatBanker, an Android‑based malware campaign targeting Brazil. It spreads primarily through phishing attacks via a website disguised as the Google Play Store. To achieve their goals, the malicious APKs carry multiple components, including a cryptocurrency miner and a banking Trojan capable of completely hijacking the device and spoofing screens, among other things. In a more recent campaign, the attackers switched from the banker to a known RAT.
This blog post outlines each phase of the malware’s activity on the victim’s handset, explains how it ensures long‑term persistence, and describes its communication with mining pools.
The campaign begins with a counterfeit website, cupomgratisfood[.]shop, that looks exactly like the Google Play Store. This fake app store contains the “INSS Reembolso” app, which is in fact a Trojan. There are also other apps that are most likely Trojans too, but we haven’t obtained them.
The INSS Reembolso app poses as the official mobile portal of Brazil’s Instituto Nacional do Seguro Social (INSS), a government service that citizens can use to perform more than 90 social security tasks, from retirement applications and medical exam scheduling to viewing CNIS (National Registry of Social Information), tax, and payment statements, as well as tracking request statuses. By masquerading as this trusted platform, the fake page tricks users into downloading the malicious APK.
The initial APK file is packed and makes use of a native shared library (ELF) named libludwwiuh.so that is included in the application. Its main task is to decrypt another ELF file that will ultimately load the original DEX file.
First, libludwwiuh.so decrypts an embedded encrypted ELF file and drops it to a temporary location on the device under the name l.so. The same code that loaded the libludwwiuh.so library then loads this file, which uses the Java Native Interface (JNI) to continue execution.
The library does not have calls to its functions; instead, it directly calls the Java methods whose names are encrypted in the stack using XOR (stack strings technique) and restored at runtime:
Initially, the loader makes a request to collect some network information using https://ipapi.is to determine whether the infected device is a mobile device, if a VPN is being used, and to obtain the IP address and other details.
This loader is engineered to bypass mobile antivirus products by utilizing dalvik.system.InMemoryDexClassLoader. It loads malicious DEX code directly into memory, avoiding the creation of any files on the device’s file system. The necessary DEX files can be extracted using dynamic analysis tools like Frida.
Furthermore, the sample incorporates anti-analysis techniques, including runtime checks for emulated or analysis environments. When such an environment is detected (or when specific checks fail, such as verification of the supported CPU_ABI), the malware can immediately terminate its own process by invoking android.os.Process.killProcess(android.os.Process.myPid()), effectively self-destructing to hinder dynamic analysis.
After execution, the malware displays a user interface that mimics the Google Play Store page, showing an update available for the INSS Reembolso app. This is intended to trick victims into granting installation permissions by tapping the “Update” button, which allows the download of additional hidden malicious payloads.
The payload delivery process mimics the application update. The malware uses the REQUEST_INSTALL_PACKAGES permission to install APK files directly into its memory, bypassing Google Play. To ensure persistence, the malware keeps a notification about a system update pinned to the foreground and activates a foreground service with silent media playback, a tactic designed to prevent the operating system from terminating the malicious process.
When UPDATE is clicked on a fake Play Store screen, the malicious application downloads and executes an ELF file containing a cryptomining payload. It starts by issuing a GET request to the C2 server at either hxxps://accessor.fud2026.com/libmine-<arch>.so or hxxps://fud2026.com/libmine-<arch>.so. The downloaded file is then decrypted using CipherInputStream(), with the decryption key being derived from the SHA-1 hash of the downloaded file’s name, ensuring that each version of the file is encrypted with a unique key. The resulting file is renamed d-miner.
The decrypted payload is an ARM-compiled XMRig 6.17.0 binary. At runtime, it attempts to create a direct TCP connection to pool.fud2026[.]com:9000. If successful, it uses this endpoint; otherwise, it automatically switches to the proxy endpoint pool-proxy.fud2026[.]com:9000. The final command-line arguments passed to XMRig are as follows:
-o pool.fud2026[.]com:9000 or pool-proxy.fud2026[.]com:9000 (selected dynamically)-k (keepalive)--tls (encrypted connection)--no-color (disable colored output)--nicehash (NiceHash protocol support)The malware uses Google’s legitimate Firebase Cloud Messaging (FCM) as its primary command‑and‑control (C2) channel. In the analyzed sample, each FCM message received triggers a check of the battery status, temperature, installation date, and user presence. A hidden cryptocurrency miner is then started or stopped as needed. These mechanisms ensure that infected devices remain permanently accessible and responsive to the attacker’s instructions, which are sent through the FCM infrastructure. The attacker monitors the following information:
The KeepAliveServiceMediaPlayback component ensures continuous operation by initiating uninterrupted playback via MediaPlayer. It keeps the service active in the foreground using a notification and loads a small, continuous audio file. This constant activity prevents the system from suspending or terminating the process due to inactivity.
The identified audio output8.mp3 is five seconds long and plays on a loop. It contains some Chinese words.
BeatBanker compromises the machine with a cryptocurrency miner and introduces another malicious APK that acts as a banking Trojan. This Trojan uses previously obtained permission to install an additional APK called INSS Reebolso, which is associated with the package com.destination.cosmetics.
Similar to the initial malicious APK, it establishes persistence by creating and displaying a fixed notification in the foreground to hinder removal. Furthermore, BeatBanker attempts to trick the user into granting accessibility permissions to the package.
Leveraging the acquired accessibility permissions, the malware establishes comprehensive control over the device’s user interface.
The Trojan constantly monitors the foreground application. It targets the official Binance application (com.binance.dev) and the Trust Wallet application (com.wallet.crypto.trustapp), focusing on USDT transactions. When a user tries to withdraw USDT, the Trojan instantly overlays the target app’s transaction confirmation screen with a highly realistic page sourced from Base64-encoded HTML stored in the banking module.
The module captures the original withdrawal address and amount, then surreptitiously substitutes the destination address with an attacker-controlled one using AccessibilityNodeInfo.ACTION_SET_TEXT. The overlay page shows the victim the address they copied (for Binance) or just shows a loading icon (for Trust Wallet), leading them to believe they are remitting funds to the intended wallet when, in fact, the cryptocurrency is transferred to the attacker’s designated address.
Fake overlay pages: Binance (left) and Trust Wallet (right)
BeatBanker’s banking module monitors the following browsers installed on the victim’s device:
Its aim is to collect the URLs accessed by the victim using the regular expression ^(?:https?://)?(?:[^:/\\\\]+\\\\.)?([^:/\\\\]+\\\\.[^:/\\\\]+). It also offers management functionalities (add, edit, delete, list) for links saved in the device’s default browser, as well as the ability to open links provided by the attacker.
BeatBanker is also designed to receive commands from the C2. These commands aim to collect the victim’s personal information and gain complete control of the device.
| Command | Description |
| 0 | Starts dynamic loading of the DEX class |
| Update | Simulates software update and locks the screen |
| msg: | Displays a Toast message with the provided text |
| goauth<*> | Opens Google Authenticator (if installed) and enables the AccessService.SendGoogleAuth flag used to monitor and retrieve authentication codes |
| kill<*> | Sets the protection bypass flag AccessService.bypass to “True”and sets the initializeService.uninstall flag to “Off” |
| srec<*> | Starts or stops audio recording (microphone), storing the recorded data in a file with an automatically generated filename. The following path format is used to store the recording: /Config/sys/apps/rc/<timestamp>_0REC<last5digits>.wav |
| pst<*> | Pastes text from the clipboard (via Accessibility Services) |
| GRC<*> | Lists all existing audio recording files |
| gtrc<*> | Sends a specific audio recording file to the C2 |
| lcm<*> | Lists supported front camera resolutions |
| usdtress<*> | Sets a USDT cryptocurrency address when a transaction is detected |
| lnk<*> | Opens a link in the browser |
| EHP<*> | Updates login credentials (host, port, name) and restarts the application |
| ssms<*> | Sends an SMS message (individually or to all contacts) |
| CRD<*> | Adds (E>) or removes (D>) packages from the list of blocked/disabled applications |
| SFD<*> | Deletes files (logs, recordings, tones) or uninstalls itself |
| adm<>lck<> | Immediately locks the screen using Device Administrator permissions |
| adm<>wip<> | Performs a complete device data wipe (factory reset) |
| Aclk<*> | Executes a sequence of automatic taps (auto-clicker) or lists existing macros |
| KBO<*>lod | Checks the status of the keylogger and virtual keyboard |
| KBO<*>AKP/AKA | Requests permission to activate a custom virtual keyboard or activates one |
| KBO<*>ENB: | Enables (1) or disables (0) the keylogger |
| RPM<*>lod | Checks the status of all critical permissions |
| RPM<*>ACC | Requests Accessibility Services permission |
| RPM<*>DOZ | Requests Doze/App Standby permission (battery optimization) |
| RPM<*>DRW | Requests Draw Over Other Apps permission (overlay) |
| RPM<*>INST | Requests permission to install apps from unknown sources (Android 8+) |
| ussd<*> | Executes a USSD code (e.g., *#06# for IMEI) |
| Blkt<*> | Sets the text for the lock overlay |
| BLKV<*> | Enables or disables full-screen lock using WindowManager.LayoutParams.TYPE_APPLICATION_OVERLAY to display a black FrameLayout element over the entire screen |
| SCRD<> / SCRD2<> | Enables/disables real-time screen text submission to the C2 (screen reading) |
| rdall<*> | Clears or sends all keylogger logs |
| rdd<*> | Deletes a specific log file |
| rd<*> | Sends the content of a specific keylogger file |
| MO<*> | Manages application monitoring (add, remove, list, screenshot, etc.) |
| FW<*> | Controls VPN and firewall (status, block/allow apps, enable/disable) |
| noti<*> | Creates persistent and custom notifications |
| sp<*> | Executes a sequence of swipes/taps (gesture macro) |
| lodp<*> | Manages saved links in the internal browser (add, edit, delete, list) |
| scc: | Starts screen capture/streaming |
Our recent detection efforts uncovered a campaign leveraging a fraudulent StarLink application that we assess as being a new BeatBanker variant. The infection chain mirrored previous instances, employing identical persistence methods – specifically, looped audio and fixed notifications. Furthermore, this variant included a crypto miner similar to those seen previously. However, rather than deploying the banking module, it was observed distributing the BTMOB remote administration tool.
The BTMOB APK is highly obfuscated and contains a class responsible for configuration. Despite this, it’s possible to identify a parser used to define the application’s behavior on the device, as well as persistence features, such as protection against restart, deletion, lock reset, and the ability to perform real-time screen recording.
The simple decryption routine uses repetitive XOR between the encrypted data and a short key. It iterates through the encrypted text byte by byte, repeating the key from the beginning whenever it reaches the end. At each position, the sample XORs the encrypted byte with the corresponding byte of the key, overwriting the original. Ultimately, the modified byte array contains the original text, which is then converted to UTF-8 and returned as a string.
BTMOB is an Android remote administration tool that evolved from the CraxsRAT, CypherRAT, and SpySolr families. It provides full remote control of the victim’s device and is sold in a Malware-as-a-Service (MaaS) model. On July 26, 2025, a threat actor posted a screenshot of the BTMOB RAT in action on GitHub under the username “brmobrats”, along with a link to the website btmob[.]xyz. The website contains information about the BTMOB RAT, including its version history, features, and other relevant details. It also redirects to a Telegram contact. Cyfirma has already linked this account to CraxsRAT and CypherRAT.
Recently, a YouTube channel was created by a different threat actor that features videos demonstrating how to use the malware and facilitate its sale via Telegram.
We also saw the distribution and sale of leaked BTMOB source code on some dark web forums. This may suggest that the creator of BeatBanker acquired BTMOB from its original author or the source of the leak and is utilizing it as the final payload, replacing the banking module observed in the INSS Reebolso incident.
In terms of functionality, BTMOB maintains a set of intrusive capabilities, including: automatic granting of permissions, especially on Android 13–15 devices; use of a black FrameLayout overlay to hide system notifications similar to the one observed in the banking module; silent installation; persistent background execution; and mechanisms designed to capture screen lock credentials, including PINs, patterns, and passwords. The malware also provides access to front and rear cameras, captures keystrokes in real time, monitors GPS location, and constantly collects sensitive data. Together, these functionalities provide the operator with comprehensive remote control, persistent access, and extensive surveillance capabilities over compromised devices.
All variants of BeatBanker – those with the banking module and those with the BTMOB RAT – were detected on victims in Brazil. Some of the samples that deliver BTMOB appear to use WhatsApp to spread, as well as phishing pages.
BeatBanker is an excellent example of how mobile threats are becoming more sophisticated and multi-layered. Initially focused in Brazil, this Trojan operates a dual campaign, acting as a Monero cryptocurrency miner, discreetly draining your device’s battery life while also stealing banking credentials and tampering with cryptocurrency transactions. Moreover, the most recent version goes even further, substituting the banking module with a full-fledged BTMOB RAT.
The attackers have devised inventive tricks to maintain persistence. They keep the process alive by looping an almost inaudible audio track, which prevents the operating system from terminating it and allows BeatBanker to remain active for extended periods.
Furthermore, the threat demonstrates an obsession with staying hidden. It monitors device usage, battery level and temperature. It even uses Google’s legitimate system (FCM) to receive commands. The threat’s banking module is capable of overlaying Binance and Trust Wallet screens and diverting USDT funds to the criminals’ wallets before the victim even notices.
The lesson here is clear: distrust is your best defense. BeatBanker spreads through fake websites that mimic Google Play, disguising itself as trustworthy government applications. To protect yourself against threats like this, it is essential to:
Our solutions detect this threat as HEUR:Trojan-Dropper.AndroidOS.BeatBanker and HEUR:Trojan-Dropper.AndroidOS.Banker.*
Additional IoCs, TTPs and detection rules are available to customers of our Threat Intelligence Reporting service. For more details, contact us at crimewareintel@kaspersky.com.
Host-based (MD5 hashes)
F6C979198809E13859196B135D21E79B – INSS Reebolso
D3005BF1D52B40B0B72B3C3B1773336B – StarLink
Domains
cupomgratisfood[.]shop
fud2026[.]com
accessor.fud2026[.]com
pool.fud2026[.]com
pool-proxy.fud2026[.]com
aptabase.fud2026[.]com
aptabase.khwdji319[.]xyz
btmob[.]xyz
bt-mob[.]net
In Q3 2025, the percentage of ICS computers on which malicious objects were blocked decreased from the previous quarter by 0.4 pp to 20.1%. This is the lowest level for the observed period.
Percentage of ICS computers on which malicious objects were blocked, Q3 2022–Q3 2025
Regionally, the percentage of ICS computers on which malicious objects were blocked ranged from 9.2% in Northern Europe to 27.4% in Africa.
Regions ranked by percentage of ICS computers on which malicious objects were blocked
In Q3 2025, the percentage increased in five regions. The most notable increase occurred in East Asia, triggered by the local spread of malicious scripts in the OT infrastructure of engineering organizations and ICS integrators.
Changes in the percentage of ICS computers on which malicious objects were blocked, Q3 2025
The biometrics sector traditionally led the rankings of the industries and OT infrastructures surveyed in this report in terms of the percentage of ICS computers on which malicious objects were blocked.
Rankings of industries and OT infrastructures by percentage of ICS computers on which malicious objects were blocked
In Q3 2025, the percentage of ICS computers on which malicious objects were blocked increased in four of the seven surveyed industries. The most notable increases were in engineering and ICS integrators, and manufacturing.
Percentage of ICS computers on which malicious objects were blocked in selected industries
In Q3 2025, Kaspersky protection solutions blocked malware from 11,356 different malware families of various categories on industrial automation systems.
Percentage of ICS computers on which the activity of malicious objects of various categories was blocked
In Q3 2025, there was a decrease in the percentage of ICS computers on which denylisted internet resources and miners of both categories were blocked. These were the only categories that exhibited a decrease.
Depending on the threat detection and blocking scenario, it is not always possible to reliably identify the source. The circumstantial evidence for a specific source can be the blocked threat’s type (category).
The internet (visiting malicious or compromised internet resources; malicious content distributed via messengers; cloud data storage and processing services and CDNs), email clients (phishing emails), and removable storage devices remain the primary sources of threats to computers in an organization’s technology infrastructure.
In Q3 2025, the percentage of ICS computers on which malicious objects from various sources were blocked decreased.
Percentage of ICS computers on which malicious objects from various sources were blocked
The same computer can be attacked by several categories of malware from the same source during a quarter. That computer is counted when calculating the percentage of attacked computers for each threat category, but is only counted once for the threat source (we count unique attacked computers). In addition, it is not always possible to accurately determine the initial infection attempt. Therefore, the total percentage of ICS computers on which various categories of threats from a certain source were blocked can exceed the percentage of threats from the source itself.
Typical attacks blocked within an OT network are multi-step sequences of malicious activities, where each subsequent step of the attackers is aimed at increasing privileges and/or gaining access to other systems by exploiting the security problems of industrial enterprises, including technological infrastructures.
In Q3 2025, the percentage of ICS computers on which denylisted internet resources were blocked decreased to 4.01%. This is the lowest quarterly figure since the beginning of 2022.
Percentage of ICS computers on which denylisted internet resources were blocked, Q3 2022–Q3 2025
Regionally, the percentage of ICS computers on which denylisted internet resources were blocked ranged from 2.35% in Australia and New Zealand to 4.96% in Africa. Southeast Asia and South Asia were also among the top three regions for this indicator.
The percentage of ICS computers on which malicious documents were blocked has grown for three consecutive quarters, following a decline at the end of 2024. In Q3 2025, it reached 1,98%.
Percentage of ICS computers on which malicious documents were blocked, Q3 2022–Q3 2025
The indicator increased in four regions: South America, East Asia, Southeast Asia, and Australia and New Zealand. South America saw the largest increase as a result of a large-scale phishing campaign in which attackers used new exploits for an old vulnerability (CVE-2017-11882) in Microsoft Office Equation Editor to deliver various spyware to victims’ computers. It is noteworthy that the attackers in this phishing campaign used localized Spanish-language emails disguised as business correspondence.
In Q3 2025, the percentage of ICS computers on which malicious scripts and phishing pages were blocked increased to 6.79%. This category led the rankings of threat categories in terms of the percentage of ICS computers on which they were blocked.
Percentage of ICS computers on which malicious scripts and phishing pages were blocked, Q3 2022–Q3 2025
Regionally, the percentage of ICS computers on which malicious scripts and phishing pages were blocked ranged from 2.57% in Northern Europe to 9.41% in Africa. The top three regions for this indicator were Africa, East Asia, and South America. The indicator increased the most in East Asia (by a dramatic 5.23 pp) as a result of the local spread of malicious spyware scripts loaded into the memory of popular torrent clients including MediaGet.
Malicious objects used to initially infect computers deliver next-stage malware — spyware, ransomware, and miners — to victims’ computers. As a rule, the higher the percentage of ICS computers on which the initial infection malware is blocked, the higher the percentage for next-stage malware.
In Q3 2025, the percentage of ICS computers on which spyware and ransomware were blocked increased. The rates were:
The percentage of ICS computers on which miners of both categories were blocked decreased. The rates were:
Self-propagating malware (worms and viruses) is a category unto itself. Worms and virus-infected files were originally used for initial infection, but as botnet functionality evolved, they took on next-stage characteristics.
To spread across ICS networks, viruses and worms rely on removable media and network folders in the form of infected files, such as archives with backups, office documents, pirated games and hacked applications. In rarer and more dangerous cases, web pages with network equipment settings, as well as files stored in internal document management systems, product lifecycle management (PLM) systems, resource management (ERP) systems and other web services are infected.
In Q3 2025, the percentage of ICS computers on which worms and viruses were blocked increased to 1.26% (by 0.04 pp) and 1.40% (by 0.11 pp), respectively.
This category of malware can spread in a variety of ways, so it does not belong to a specific group.
In Q3 2025, the percentage of ICS computers on which AutoCAD malware was blocked slightly increased to 0.30% (by 0.01 pp).
For more information on industrial threats see the full version of the report.
In Q3 2025, the percentage of ICS computers on which malicious objects were blocked decreased from the previous quarter by 0.4 pp to 20.1%. This is the lowest level for the observed period.
Percentage of ICS computers on which malicious objects were blocked, Q3 2022–Q3 2025
Regionally, the percentage of ICS computers on which malicious objects were blocked ranged from 9.2% in Northern Europe to 27.4% in Africa.
Regions ranked by percentage of ICS computers on which malicious objects were blocked
In Q3 2025, the percentage increased in five regions. The most notable increase occurred in East Asia, triggered by the local spread of malicious scripts in the OT infrastructure of engineering organizations and ICS integrators.
Changes in the percentage of ICS computers on which malicious objects were blocked, Q3 2025
The biometrics sector traditionally led the rankings of the industries and OT infrastructures surveyed in this report in terms of the percentage of ICS computers on which malicious objects were blocked.
Rankings of industries and OT infrastructures by percentage of ICS computers on which malicious objects were blocked
In Q3 2025, the percentage of ICS computers on which malicious objects were blocked increased in four of the seven surveyed industries. The most notable increases were in engineering and ICS integrators, and manufacturing.
Percentage of ICS computers on which malicious objects were blocked in selected industries
In Q3 2025, Kaspersky protection solutions blocked malware from 11,356 different malware families of various categories on industrial automation systems.
Percentage of ICS computers on which the activity of malicious objects of various categories was blocked
In Q3 2025, there was a decrease in the percentage of ICS computers on which denylisted internet resources and miners of both categories were blocked. These were the only categories that exhibited a decrease.
Depending on the threat detection and blocking scenario, it is not always possible to reliably identify the source. The circumstantial evidence for a specific source can be the blocked threat’s type (category).
The internet (visiting malicious or compromised internet resources; malicious content distributed via messengers; cloud data storage and processing services and CDNs), email clients (phishing emails), and removable storage devices remain the primary sources of threats to computers in an organization’s technology infrastructure.
In Q3 2025, the percentage of ICS computers on which malicious objects from various sources were blocked decreased.
Percentage of ICS computers on which malicious objects from various sources were blocked
The same computer can be attacked by several categories of malware from the same source during a quarter. That computer is counted when calculating the percentage of attacked computers for each threat category, but is only counted once for the threat source (we count unique attacked computers). In addition, it is not always possible to accurately determine the initial infection attempt. Therefore, the total percentage of ICS computers on which various categories of threats from a certain source were blocked can exceed the percentage of threats from the source itself.
Typical attacks blocked within an OT network are multi-step sequences of malicious activities, where each subsequent step of the attackers is aimed at increasing privileges and/or gaining access to other systems by exploiting the security problems of industrial enterprises, including technological infrastructures.
In Q3 2025, the percentage of ICS computers on which denylisted internet resources were blocked decreased to 4.01%. This is the lowest quarterly figure since the beginning of 2022.
Percentage of ICS computers on which denylisted internet resources were blocked, Q3 2022–Q3 2025
Regionally, the percentage of ICS computers on which denylisted internet resources were blocked ranged from 2.35% in Australia and New Zealand to 4.96% in Africa. Southeast Asia and South Asia were also among the top three regions for this indicator.
The percentage of ICS computers on which malicious documents were blocked has grown for three consecutive quarters, following a decline at the end of 2024. In Q3 2025, it reached 1,98%.
Percentage of ICS computers on which malicious documents were blocked, Q3 2022–Q3 2025
The indicator increased in four regions: South America, East Asia, Southeast Asia, and Australia and New Zealand. South America saw the largest increase as a result of a large-scale phishing campaign in which attackers used new exploits for an old vulnerability (CVE-2017-11882) in Microsoft Office Equation Editor to deliver various spyware to victims’ computers. It is noteworthy that the attackers in this phishing campaign used localized Spanish-language emails disguised as business correspondence.
In Q3 2025, the percentage of ICS computers on which malicious scripts and phishing pages were blocked increased to 6.79%. This category led the rankings of threat categories in terms of the percentage of ICS computers on which they were blocked.
Percentage of ICS computers on which malicious scripts and phishing pages were blocked, Q3 2022–Q3 2025
Regionally, the percentage of ICS computers on which malicious scripts and phishing pages were blocked ranged from 2.57% in Northern Europe to 9.41% in Africa. The top three regions for this indicator were Africa, East Asia, and South America. The indicator increased the most in East Asia (by a dramatic 5.23 pp) as a result of the local spread of malicious spyware scripts loaded into the memory of popular torrent clients including MediaGet.
Malicious objects used to initially infect computers deliver next-stage malware — spyware, ransomware, and miners — to victims’ computers. As a rule, the higher the percentage of ICS computers on which the initial infection malware is blocked, the higher the percentage for next-stage malware.
In Q3 2025, the percentage of ICS computers on which spyware and ransomware were blocked increased. The rates were:
The percentage of ICS computers on which miners of both categories were blocked decreased. The rates were:
Self-propagating malware (worms and viruses) is a category unto itself. Worms and virus-infected files were originally used for initial infection, but as botnet functionality evolved, they took on next-stage characteristics.
To spread across ICS networks, viruses and worms rely on removable media and network folders in the form of infected files, such as archives with backups, office documents, pirated games and hacked applications. In rarer and more dangerous cases, web pages with network equipment settings, as well as files stored in internal document management systems, product lifecycle management (PLM) systems, resource management (ERP) systems and other web services are infected.
In Q3 2025, the percentage of ICS computers on which worms and viruses were blocked increased to 1.26% (by 0.04 pp) and 1.40% (by 0.11 pp), respectively.
This category of malware can spread in a variety of ways, so it does not belong to a specific group.
In Q3 2025, the percentage of ICS computers on which AutoCAD malware was blocked slightly increased to 0.30% (by 0.01 pp).
For more information on industrial threats see the full version of the report.
