Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects the download of a standalone Python build for Apple Darwin from astral-sh/python-build-standalone on GitHub using 'curl', followed by its extraction using 'tar'. This activity could indicate a developer setting up a specific Python environment or potentially a malicious actor introducing a custom Python interpreter.
Detects unauthorized access, creation, or modification of sensitive credential and token files (e.g., OAuth tokens, AWS credentials, gcloud tokens) in common user directories like AppData or .config by processes other than established browsers or legitimate cloud CLI tools. This behavior is indicative of credential theft or SaaS pivot attacks.
Detects unauthorized or external access attempts to exposed Ollama API endpoints (port 11434) for generating or chatting, which could be indicative of LLMjacking. The rule identifies requests from known attacker IPs or any external IP, especially if the request count is high.
Correlates processes executing commands containing 'megalodon' with outbound network connections to a specific C2 IP address (216.126.225.129). This rule aims to detect data exfiltration or command and control communication associated with the Megalodon malware.
This rule detects the loading of a machine learning model (e.g., Pickle, PyTorch, or Hugging Face model files) via Python, immediately followed by the creation of a Windows Executable (PE) or Shared Object (.so) file on disk by the same initiating process. This behavior is indicative of an embedded stage-2 loader within a malicious model file, often seen in backdoored Large Language Models (LLMs). The time correlation between the model loading and the file drop is set to 45 seconds to identify immediate post-load execution.
Identifies web server processes initiating network connections to the credential-stealing generate.2faplugin.org domain. This activity is indicative of a supply chain compromise targeting ShapedPlugin, where backdoored pro plugins are distributed via official channels, leading to data exfiltration.
This rule identifies newly created PHP files within specific WordPress plugin folders ("woocommerce-subscription" or "woocommerce-notification") that have a rare SHA256 hash count (less than 5 occurrences in the enterprise). This behavior is indicative of web shells or backdoored plugin files, potentially introduced via a supply chain compromise.
Correlates the execution of the initial dropper script (setup.cjs) to the hardcoded C2 IPs, indicating potential compromise by the Mastra NPM malware.
Correlates a non-browser headless runtime (Node/Bun) querying the GitHub API for the specific commit 'OhNoWhatsGoingOnWithGitHub'. This could indicate a supply chain attack where malicious code within a Node.js or Bun.js application attempts to communicate with a GitHub dead drop for command and control or data exfiltration.
Detects MYRA Linux RAT establishing cron-based persistence by scheduling /usr/local/lib/.cache-update.sh to execute every 13 minutes with a fileless fallback chain using memfd_loader and agent_launcher. Indicative of the apintergrationpost npm supply chain attack by threat actor kimijohn01.
Detects MYRA RAT fileless execution where memfd_loader or memfd_exec loads the Node.js binary and JavaScript agent bundle into anonymous memory file descriptors via memfd_create and executes via fexecve. Resulting processes show /proc/PID/exe pointing to '/memfd:.node (deleted)' or '/memfd:.bundle' with no files on disk.
This rule identifies potential ransomware activity by detecting a process performing a high volume of file rename or modification operations within a short time window. It specifically targets files with known ransomware extensions or those using randomized 6-8 character alphanumeric extensions, while excluding common administrative, backup, and temporary file operations performed by trusted software.
Detects the execution of commands used to parse /etc/hosts for PeopleSoft-related node names (WEB, APP, csprd) for lateral movement targeting. Threat actors (e.g., ShinyHunters) use this to discover internal application and web servers.
Detects the execution of commands used to parse /etc/hosts for PeopleSoft-related node names (WEB, APP, csprd) for lateral movement targeting. Threat actors (e.g., ShinyHunters) use this to discover internal application and web servers.
Identifies the execution of MeshCentral for remote command execution.
This rule identifies the execution of MeshCentral for remote command execution, specifically looking for command-line arguments containing 'meshctrl.js' and 'RunCommand'. This activity has been observed in attacks such as those by ShinyHunters to stage payloads on compromised Oracle PeopleSoft servers.
This rule identifies the execution of MeshCentral for remote command execution by looking for specific command-line arguments. It specifically targets instances where 'meshctrl.js' and 'RunCommand' are present in process command lines or syslog messages. This activity has been associated with threat actors like ShinyHunters.
Detects web service accounts (e.g., www-data) unexpectedly spawning shells from FFmpeg. This behavior is strongly indicative of remote code execution (RCE) via the PixelSmash vulnerability, specifically targeting automated preview generation in platforms like Nextcloud.
Detects instances where FFmpeg media processing tools spawn interactive shell processes. This behavior is highly indicative of successful remote code execution (RCE) via CVE-2026-8461 (PixelSmash), where an attacker hijacks the AVBuffer struct to call libc's system() function.
Detects the use of 'sshpass' to supply a password to SSH while simultaneously disabling strict host key checking. This combination is often indicative of automated lateral movement or credential stuffing attempts where an attacker is trying to bypass host key verification to connect to multiple systems without manual intervention.
Detects the creation of common ransomware note file names with suspicious extensions.
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