Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects the execution of specific Node.js scripts (`setup.cjs` or `protocal.cjs`) that are associated with the Mastra npm supply chain attack. It identifies Node.js process executions across Windows, macOS, and Linux, looking for these malicious script names in the command line.
Detects the MYRA RAT using memfd_create and fexecve to execute a Rust payload entirely in memory without writing an executable to disk, as observed in the Operation Friday Harvest npm supply chain campaign. The rule looks for process events where the action type indicates process creation, memory allocation, or process access, or where the FolderPath starts with '/proc/' and contains '/fd/'. It specifically targets initiating processes named 'node' or 'npm' or those with command lines associated with npm post-installation scripts. Further filtering is applied to FolderPaths matching the '/proc/\d+/fd/\d+' regex or ProcessCommandLines containing 'memfd_create' or 'fexecve', or FolderPaths containing 'memfd'.
This rule detects the explicit use of `curl` or `wget` to exfiltrate data, specifically AWS tokens, to a known Megalodon infrastructure IP address (216.126.225.129). This activity is indicative of the Megalodon CI/CD malware attempting to post extracted data.
Detects a web server process creating at least two different backdoored WooCommerce files within a 5-minute window. This behavior is indicative of a supply chain compromise targeting ShapedPlugin, where malicious plugins distribute backdoored files.
This rule detects the dropping of a 24-character hexadecimal JavaScript payload followed by the creation of a '.pkg_history' or '.pkg_logs' marker file within a one-minute timeframe. This behavior is indicative of the Mastra NPM supply chain compromise.
Detects Node.js initiating connections over port 2222. This is used by the Miasma botnet as a fallback C2/SSH channel when standard ports are blocked.
C2 Connection Detection
YARA-L
Detects network connections to known C2 infrastructure using specific ports
Detects the creation or modification of a web shell named 'help.php' within REDCap application directories, a known persistence mechanism used by UNC6508. This rule specifically looks for file creation, modification, or renaming events for 'help.php' in paths containing 'redcap'.
Identifies zenity being used to prompt for passwords on Linux, indicating credential theft. This technique might be used by adversaries to trick users into providing their credentials.
Detects IDE processes creating ZIP archives in temporary directories, which can indicate exfiltration of cryptocurrency wallets. The rule specifically looks for 'Code.exe' (VS Code) or 'cursor.exe' creating '.zip' files in common temporary paths like 'AppData\Local\Temp' or '/tmp/'.
Detects Python scripts leveraging secret-tool or DBus on Linux to dump GNOME keyring passwords (UNK_DeadDrop). The rule specifically looks for the 'secret-tool' process being initiated by 'python' or 'python3'.
Detects BPFDoor-style iptables NAT REDIRECT rules used to tunnel traffic from a
legitimate service port (e.g. 22/tcp) to a high ephemeral shell port (42391-43390) without
disrupting the real service for other clients. BPFDoor activates on magic packets, spawns a
bind shell, inserts short-lived PREROUTING redirects for the controller IP, then deletes them.
legitimate service port (e.g. 22/tcp) to a high ephemeral shell port (42391-43390) without
disrupting the real service for other clients. BPFDoor activates on magic packets, spawns a
bind shell, inserts short-lived PREROUTING redirects for the controller IP, then deletes them.
Detects IP geolocation lookups used to gather target network information
Detects the creation of files with a '.vile' extension within the Google Chrome extensions directory. This directory path is often used by attackers to install unauthorized or malicious browser extensions to maintain persistence, steal credentials, or pivot within the browser session.
Detects the execution of 'moladb_hash_crack.py', a script known to be used by the MuddyWater APT group for credential operations, specifically hash cracking. This rule identifies process command lines containing the script's filename.
Identifies execution of 'c2_fixed.py' or 'c2_fixed_v2.py' used in MuddyWater C2 operations. These scripts are associated with the MuddyWater threat group for command and control activities.
Detects the execution of Python or Node.js processes that include command-line arguments indicative of base64 decoding or zlib decompression, often used for deobfuscating and executing malicious payloads in memory.
This rule detects suspicious process execution patterns associated with malicious activities in GitHub Actions environments, specifically flagging the use of JavaScript runtimes (node, bun) to execute malicious payloads, git operations related to pull request data exfiltration (pwn-request), and the creation of orphan branches characteristic of the Miasma campaign.
Detects the execution of Node.js build processes (node-gyp) or npm build commands involving native module compilation. These patterns are often indicative of legitimate development workflows but are also leveraged by attackers to compile malicious native add-ons or execute arbitrary code in a build environment.
This rule detects the execution of Node.js or Bun JavaScript runtime processes with command-line arguments often associated with CI/CD automation, dependency updates, or potential obfuscated script execution patterns.
This rule detects multiple indicators of suspicious activity on Linux systems, including LD_PRELOAD hijacking, memfd_create fileless execution, suspicious process masquerading, periodic cron task execution, and the creation of configuration files associated with common IDEs and AI tools. These patterns are frequently used to establish persistence, hide malicious activity, or facilitate lateral movement by compromising development environments.
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