Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the use of a masquerading binary named 'uptime' for persistence or malicious activity on Linux systems. This rule monitors for unauthorized 'uptime' process activity such as network connections, spawning of shell/interpreter processes, creation of systemd service unit files, and manipulation via systemctl, as well as execution from non-standard directories.
This rule correlates rapid file modifications (potential encryption or mass deletion) with the execution of commands known to inhibit system recovery (e.g., deleting shadow copies or modifying boot recovery settings) and significant outbound network data transfers from the same host. This pattern is characteristic of ransomware deployment.
Detects potential persistence via the creation of suspicious systemd service files. The rule monitors for new service files created by non-package manager processes, correlates these with subsequent 'systemctl enable' or 'start' operations, and identifies the execution of binaries from non-standard directories (e.g., /tmp, /dev/shm) by the systemd process.
Detects suspicious activity related to the OpenSSH server suite, including unauthorized modifications to core SSH binaries by non-package-manager processes, sshd processes writing files to temporary directories (a common indicator of credential harvesting), and sshd execution from non-standard file paths which may indicate a trojanized binary or persistence mechanism.
Detects DLL side-loading activity associated with the JFMBackdoor malware. The rule identifies the execution of the legitimate Windows filter manager control utility (fltMC.exe) from suspicious locations (TEMP/tmp directories) and the creation of companion payloads (FLTLIB.dll, flt.bin, or scr.mui) in those same directories, which are characteristic of the JFMBackdoor dropper chain.
This rule detects activities associated with the Kimsuky NUKESPED malware loader, including the execution of malicious .jse scripts, PowerShell-based obfuscated payload decoding using 'ProgramData' as a staging path, and the subsequent execution of the 'zlrenu8.exe' payload. The rule specifically targets the multi-stage infection chain where scripts are used to perform anti-analysis and sandbox evasion before launching the primary malicious component.
Detects malicious dropper behavior involving batch files spawning hidden PowerShell processes to download components (flt.bin, FLTLIB.dll, scr.mui, fltMC.exe) to temporary directories. The rule further tracks the execution of the dropped fltMC.exe and the creation of the associated DLL/binary files, which is indicative of JFMBackdoor DLL side-loading.
Detects the creation or modification of files within the 'C:\ProgramData\Windows Multimedia' directory, a path associated with JFMBackdoor's screen capture output. The rule specifically monitors for this activity when initiated by 'fltMC.exe', which is known to be used by this malware for DLL side-loading.
Detects execution and staging activity associated with the NUKESPED (zlrenu8.exe) backdoor. The rule monitors for direct process execution from ProgramData, malicious DLL registration using rundll32, the creation of staged payload files in ProgramData, and suspicious memory operations (VirtualProtect) by the backdoor process, which are indicative of reflective loading or shellcode execution.
Detects malicious activity associated with the Kimsuky threat group's NUKESPED JSE loader, including the use of wscript/cscript to execute .jse files, drop encoded payloads via ADODB.Stream, and spawn hidden PowerShell processes for decoding stages (targeting .a9oc files in ProgramData). The rule also detects the creation and execution of the NUKESPED secondary payload zlrenu8.exe.
Detects malicious activity associated with the Kimsuky NUKESPED campaign, specifically the execution of .jse droppers from the Downloads directory using Windows Script Host (wscript.exe/cscript.exe), execution of known malicious files by SHA256 hash, and the presence or creation of the associated zlrenu8.exe payload.
Detects unauthorized file access to browser extension directories and credential stores (History, Login Data) by a suspicious Node.js process named 'protocal.cjs'. This activity is characteristic of the 'easy-day-js' supply chain compromise, where a malicious backdoor attempts to exfiltrate browser-stored credentials and history from Chrome, Edge, and Brave browsers.
Detects potential GCP logging sink bucket hijacking by monitoring for the deletion of a Google Cloud Storage bucket followed closely by an update to a logging sink configuration that points to a GCS destination. This pattern is characteristic of attackers attempting to intercept cloud log streams by recreating a target destination bucket in an environment they control.
Detects file operations (creation, modification, deletion, renaming) involving common SSH key files (id_rsa, id_ed25519) or files located within .ssh directories, initiated by processes typically associated with AI/LLM tools (chatgpt, perplexity, etc.) or generic process names. This may indicate an attempt to exfiltrate or manipulate authentication credentials by unauthorized applications.
This rule detects file access or modification events targeting '.env' files, which often store environment variables and sensitive configuration data (such as API keys and credentials). The detection specifically focuses on file paths associated with CI/CD build agents, runners, or workspace directories (e.g., github, gitlab, jenkins, build, runner), where such credentials are high-value targets for attackers seeking to escalate access or pivot within an environment.
Detects indicators of persistence activity associated with the MYRA RAT. This includes unauthorized modifications to shared library preload mechanisms (/etc/ld.so.preload), creation of malicious shared objects in systemd user paths by common interpreter/shell processes, suspicious modification of cron job files by those same processes, and the execution of the 'systemd-userdbd' process from non-standard, unauthorized filesystem locations.
This rule detects file access or modification events targeting '.env' files, which often store environment variables and sensitive configuration data (such as API keys and credentials). The detection specifically focuses on file paths associated with CI/CD build agents, runners, or workspace directories (e.g., github, gitlab, jenkins, build, runner), where such credentials are high-value targets for attackers seeking to escalate access or pivot within an environment.
Detects instances where the legitimate Windows utility 'Fondue.exe' (Features on Demand) loads the control panel library 'APPWIZ.cpl' from non-standard locations such as C:\Users\Public or AppData directories. It also identifies the staging phase where 'APPWIZ.cpl' is written to 'C:\Users\Public', which is indicative of a DLL side-loading attack sequence, often associated with the Elephant malware dropper.
Detects the creation or modification of specific DLL and data files associated with the SharkLoader malware (e.g., SystemSettings.dll, DscCoreR.mui) within designated hidden directories (%APPDATA%\xwreg or %APPDATA%\xgdf). These paths are indicative of the StrikeShark campaign, which utilizes DLL side-loading to target diplomatic and government entities.
Detects persistence mechanisms associated with the MYRA Linux RAT, including LD_PRELOAD hijacking for shared library redirection, malicious cron job creation with specific scheduling (13-minute intervals), and unauthorized modifications to profile.d scripts to execute malicious code.
Detects the creation, modification, or deletion of the 'C:\debug.txt' file, which is an artifact associated with the DcRAT malware's screen capture module. The rule specifically monitors for this file's activity and highlights when the deletion is performed by 'svchost.exe', a common process used for masquerading malicious activity.
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