Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects unauthorized modifications to Nginx configuration files by processes other than the Nginx service itself, known package managers, or common configuration management tools. This behavior is indicative of potential malicious activity, such as the injection of proxy directives (e.g., fastcgi_pass, proxy_pass) as observed in the Velvet Ant Operation Highland, used to pivot traffic into protected or air-gapped network segments.
Detects unauthorized systemd service unit installation or modification, specifically targeting reverse shells or encrypted tunneling tools (e.g., gs-netcat, netcat) by monitoring systemctl commands referencing suspicious paths (/tmp, /var/tmp, etc.) that bypass standard package management workflows. This behavior is associated with the Velvet Ant threat group's persistence tactics on compromised Linux systems.
This rule detects a multi-stage malicious activity pattern where a process performs system reconnaissance (process enumeration followed by network configuration enumeration) followed by an outbound network connection to a non-internal IP address. The rule uses transaction correlation on the ProcessGuid/ParentProcessGuid to link these distinct events into a single chain within a 2-minute time window.
This rule monitors system logs for attempts to disable or stop the Linux Audit daemon (auditd) or modify its configuration via auditctl or system management commands (systemctl, service). Disabling the audit system is a common technique used by adversaries to hide malicious activity from security monitoring.
Detects instances where script interpreters (wscript/cscript on Windows; sh/bash/busybox on Linux) are used to spawn command-line tools (cmd.exe or rm/unlink) to perform file deletion operations. This is a common pattern for attackers to remove evidence, logs, or tools post-execution.
This rule detects potentially malicious reconnaissance and execution activity. On Linux, it monitors for network and system information discovery utilities (e.g., ifconfig, netstat, ip) executed by shells or remote access daemons. On Windows, it monitors for the use of WScript, CScript, WMIC, and WBEMTest in potentially suspicious ways, including the use of WMI for command execution.
Detects unauthorized file operations (Creation, Modification, Rename, Deletion) on sensitive browser-related credential files (e.g., Login Data, Cookies, key4.db) by potentially unauthorized or suspicious processes identified by name.
Detects unauthorized file operations (Creation, Modification, Rename, Deletion) on sensitive browser-related credential files (e.g., Login Data, Cookies, key4.db) by potentially unauthorized or suspicious processes identified by name.
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.
Hunting rule for Atomic Red Team T1090.001 test "Connection Proxy" (Proxy: Internal Proxy). Correlate with additional signals before alerting.
Hunting rule for Atomic Red Team T1090.001 test "Connection Proxy" (Proxy: Internal Proxy). Correlate with additional signals before alerting.
This rule detects attempts to access sensitive .env configuration files in Gemini CLI applications, which may indicate an attempt to exploit CVE-2026-12537. Attackers target these files to retrieve credentials or environment variables that could lead to Remote Code Execution (RCE) within CI/CD pipelines or deployment environments.
This rule detects the execution of processes in CI/CD environments (such as runners, Jenkins, or GitLab) where the environment variable 'GEMINI_TRUST_WORKSPACE' is explicitly set to 'true'. This configuration is often used to grant elevated trust or access to workspace files during CI/CD workflows, which could be abused by an attacker to execute arbitrary code or access sensitive data if they can control the pipeline execution or workspace state.
Detects suspicious execution of Python or shell scripts (bash, zsh, sh) from paths associated with 'openclaw' or 'clawhub' that are interacting with sensitive data files, including browser credential stores (Chrome, Firefox, Edge, Brave), system keychains, and cryptocurrency wallet files.
Detects network activity associated with the BadBlocker for YouTube browser extension (ID: cmedhionkhpnakcndndgjdbohmhepckk). The rule identifies DNS queries and outbound network connections to known command-and-control (C2) domains (api.adblock-for-youtube.com, get.adblock-for-youtube.com) used by the extension to exfiltrate session cookies and other sensitive browser data.
Detects outbound network traffic from browser processes to known BadBlocker extension command-and-control infrastructure (api.adblock-for-youtube.com or get.adblock-for-youtube.com), followed by subsequent outbound HTTPS connections to arbitrary external domains. This sequence is indicative of malicious browser extension activity involving the exfiltration of session cookies or authentication tokens from the victim's browser.
Detects post-exploitation activities on SD-WAN appliances, including unauthorized tenant list uploads related to CVE-2026-20245, creation of unauthorized 'troot' accounts in sensitive system files, staging of system files, unauthorized permission modifications via chmod/chown, and privilege escalation attempts using su.
Detects command-line execution of 'rm' or 'cp -a' targeting specific sensitive system, credential, or configuration files on Linux systems. This behavior often indicates an attempt to remove evidence, destroy logs, or stage sensitive data for exfiltration.
This rule detects potentially malicious activity related to the 'node-gyp' build tool used by npm. It monitors for two patterns: 1) npm spawning node-gyp, which can be an automated trigger for malicious binding.gyp files, and 2) node-gyp spawning node.exe with command-line arguments indicative of obfuscated JavaScript (e.g., base64 encoding, eval, AES-GCM patterns), a technique often seen in malicious Node.js packages.
This rule detects network connections from internal hosts to identified C2 or phishing infrastructure associated with the threat actor group UNC1151 (also known as Ghostwriter). It monitors both host-based network events (via DeviceNetworkEvents) and centralized network security logs (via CommonSecurityLog) for traffic targeting a curated list of known malicious IP addresses.
Detects suspicious usage of the Bun runtime, specifically when it is spawned by common Node.js development processes (like npm or node-gyp) or downloaded from non-official sources using command-line tools or browsers. This behavior is associated with the Miasma malware campaign, which abuses the Bun runtime for malicious operations.
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