Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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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.
Detects the creation of files with specific names associated with Proof of Concept (PoC) code, remote code execution (RCE) harnesses, or exploit probes for CVE-2026-55200. This pattern indicates the presence of offensive security tooling or attempted exploitation of a specific software vulnerability on the host.
This rule detects the presence and execution of files associated with the proof-of-concept (PoC) exploit for CVE-2026-55200, a remote code execution vulnerability in libssh2. The rule monitors for specific exploit binary names and directory structures commonly used by security researchers or attackers to test or exploit this vulnerability.
Detects malicious activity associated with the exploitation of StreamBucket PHP vulnerabilities. The rule monitors for unexpected child processes spawned by PHP/web server processes, the creation of specific exploitation artifact files in /tmp, unauthorized reading of /proc/self memory files by PHP, and inbound SOAP-related HTTP requests.
Detects the exploitation of CVE-2026-20253, where the Flowise application fails to correctly sanitize or validate environment variables. By using a case-insensitive bypass (e.g., lowercase 'node_options'), an attacker can cause a spawned Node.js child process to honor the variable and execute unauthorized JavaScript files via the '--require' command-line argument.
Detects the use of 'docker cp' to copy files out of a container to the host filesystem. This rule identifies suspicious patterns that may exploit the path traversal vulnerability CVE-2026-43503, which allows an attacker to escape the intended destination directory on the host.
Detects reconnaissance and post-exploitation activity associated with the exploitation of the libssh2 CVE-2026-55200 vulnerability. The rule identifies the execution of known libpwn PoC binaries, libssh2-dependent client applications (curl, git, php) spawning unexpected shell processes, and unauthorized access to SSH-related configuration or key files by non-interactive processes.
This rule monitors web server access logs for suspicious activity targeting sensitive Flowise API endpoints (credentials, variables, secretvariable, apikey). It flags two types of threats: 1) Case-bypass evasion attempts, where canonical endpoints are bypassed via non-standard casing while requesting sensitive data (e.g., matching a status 200 on non-canonical casing for sensitive paths), and 2) High-frequency requests indicative of bulk enumeration or directory/wordlist scanning.
Detects the installation of Visual Studio Code extensions from sources other than the official Marketplace. This activity is monitored by checking process command line arguments for the --install-extension flag combined with external URLs or local file paths, which may indicate an attempt to install malicious extensions.
Detects execution of persistence-related commands such as cron job modifications or SSH key additions originating from development-related parent processes or installation commands like npm/pip. This behavior is indicative of potential supply chain compromises or malicious actors abusing development environments to maintain access.
This rule monitors for processes attempting to enumerate sensitive environment variables related to cloud services (AWS) and AI platforms (Anthropic), or access specific configuration and credential files (e.g., .aws/credentials, .config/anthropic). It specifically correlates these behaviors with potentially suspicious parent processes like bash, node, or python interpreters, which may indicate an AI agent or a reverse shell performing reconnaissance or credential exfiltration.
Detects suspicious child processes spawned by AI coding agents that are potentially indicative of an indirect prompt injection attack. The rule specifically looks for the execution of 'axiom init' or 'pip install' commands, which are often used by attackers to execute malicious code within an environment when tricked by instructions embedded in repository files.
Detects network connections attempting to access Kubernetes API endpoints related to secrets. This could indicate an adversary trying to enumerate or exfiltrate sensitive credentials from a Kubernetes cluster.
Detects phishing links delivered through Microsoft Teams or Slack messages
Detects the initialization of unprivileged user and network namespaces combined with specific IPsec tunnel configurations (xfrm/esp/veth). This sequence of operations is a known prerequisite for exploiting the DirtyClone (CVE-2026-43503) vulnerability, a Local Privilege Escalation (LPE) in the Linux kernel.
Detects indicators of SSH-based lateral movement and credential access, including suspicious SSH command-line flags (e.g., BatchMode, StrictHostKeyChecking), manual enumeration of SSH keys via ssh-add, inspection of agent socket variables, and unauthorized access to critical SSH configuration and identity files by non-standard processes.
Detects exploitation attempts against CVE-2026-33017, an unauthenticated remote code execution vulnerability in Langflow. The rule identifies suspicious HTTP POST requests directed at specific vulnerable API endpoints, looking for common Python code injection payloads (e.g., 'os.system', '__import__', 'subprocess') or the presence of a known dropper payload ('isp.sh') within the URI query. It also flags requests originating from common automation user agents like 'python-requests'.
Identifies network connections to known ShinyHunters IP addresses or domains associated with the recent Oracle PeopleSoft exploitation campaign. This rule monitors both endpoint network events and perimeter firewall/proxy logs for outbound communication to the specified malicious infrastructure.
Detects a highly relevant Antivirus alert that reports password dumpers and stealers.
This event must not be ignored just because the AV has blocked the malware but investigate, how it came there in the first place and check if passwords need to be reset.
This event must not be ignored just because the AV has blocked the malware but investigate, how it came there in the first place and check if passwords need to be reset.
This rule detects attempts to exploit CVE-2024-36401, a critical remote code execution vulnerability in GeoServer. The rule monitors inbound HTTP requests to GeoServer OWS or WFS endpoints for malicious patterns consistent with OGC filter expression injection, such as attempts to invoke Java Runtime process execution via crafted property names or OGC expressions.
Detects the execution of 'unshare' with flags (such as --user/--net or CLONE_NEWUSER/CLONE_NEWNET) by unprivileged users. This behavior is indicative of attempts to gain CAP_NET_ADMIN capabilities within a new namespace, a necessary precursor to exploiting the pedit COW (CVE-2026-46331) vulnerability for privilege escalation.
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