Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the obfuscated first-stage JavaScript payload sharedLoad.min.js dropped by the malicious npm indexed-btree package, identified by string-array encoding and self-checksumming array rotation obfuscation patterns
Detects the sharedLoad.min.js obfuscated first-stage loader dropped by the malicious npm indexed-btree package, triggered via BTree.prototype.set to evade static/taint-analysis scanners
Detects the indexed-btree npm malware loader embedded in BTree.prototype.set that spawns a detached hidden Node.js child process and references sharedLoad.min.js
Detects the indexed-btree npm malware loader embedded in BTree.prototype.set that spawns a detached hidden Node.js child process and references sharedLoad.min.js
Detects the execution of npm commands to install specific, potentially malicious or typo-squatted npm packages. The rule filters for common npm install command line arguments and matches against a predefined list of package names that are often associated with supply chain compromise attempts.
Detects the execution of npm commands to install specific, potentially malicious or typo-squatted npm packages. The rule filters for common npm install command line arguments and matches against a predefined list of package names that are often associated with supply chain compromise attempts.
Detects anomalous process activity that reads sensitive developer secrets (such as Anthropic, OpenAI, Gemini, or Hugging Face API keys) from common configuration or environment files, followed by an outbound network connection to a non-private IP address. This behavior is consistent with credential harvesting and exfiltration tactics used in supply chain attacks to hijack AI services.
Detects anomalous process activity that reads sensitive developer secrets (such as Anthropic, OpenAI, Gemini, or Hugging Face API keys) from common configuration or environment files, followed by an outbound network connection to a non-private IP address. This behavior is consistent with credential harvesting and exfiltration tactics used in supply chain attacks to hijack AI services.
Detects indicators associated with the exploitation of CVE-2025-3248 in Langflow. The rule identifies anomalous web requests targeting the /api/v1/validate/code endpoint, subsequent suspicious process creation (base64 encoded payloads in Python/shell), and network communication with identified command and control (C2) or data exfiltration IP addresses. It also includes alerts for observed contact with known extortion email addresses.
Detects git checkout of a bare 40-hex commit SHA or the literal FETCH_HEAD ref, executed by a recognized AI coding-agent process. Narrowed to the Plugin4Shell exploitation fingerprint (checkout of a pinned-SHA-shaped or FETCH_HEAD ref) rather than ordinary branch/tag checkouts, which these agents perform constantly during normal plugin installs.
Detects exploitation attempts by the CARBONATO botnet targeting exposed Docker daemons. The rule monitors for container escape techniques using 'nsenter' to access host namespaces, the execution of specific malicious entrypoint scripts, the use of known malicious container image references, and the creation of privileged containers with host bind mounts, which are indicative of host filesystem and network compromise.
Detects exploitation attempts by the CARBONATO botnet targeting exposed Docker daemons. The rule monitors for container escape techniques using 'nsenter' to access host namespaces, the execution of specific malicious entrypoint scripts, the use of known malicious container image references, and the creation of privileged containers with host bind mounts, which are indicative of host filesystem and network compromise.
Detects exploitation attempts by the CARBONATO botnet targeting exposed Docker daemons. The rule monitors for container escape techniques using 'nsenter' to access host namespaces, the execution of specific malicious entrypoint scripts, the use of known malicious container image references, and the creation of privileged containers with host bind mounts, which are indicative of host filesystem and network compromise.
Detects exploitation attempts by the CARBONATO botnet targeting exposed Docker daemons. The rule monitors for container escape techniques using 'nsenter' to access host namespaces, the execution of specific malicious entrypoint scripts, the use of known malicious container image references, and the creation of privileged containers with host bind mounts, which are indicative of host filesystem and network compromise.
Detects activity associated with the CARBONATO botnet, specifically the weaponization of the Hermes Agent framework. The detection monitors for the overwrite of the SOUL.md configuration file to inject a malicious GH0ST persona, execution of the hermes-agent binary from known malicious paths, and the presence of the CARBONATO_API_KEY environment variable or command-line parameter.
Detects activity associated with the CARBONATO botnet, specifically the weaponization of the Hermes Agent framework. The detection monitors for the overwrite of the SOUL.md configuration file to inject a malicious GH0ST persona, execution of the hermes-agent binary from known malicious paths, and the presence of the CARBONATO_API_KEY environment variable or command-line parameter.
Detects activity associated with the CARBONATO botnet, specifically the weaponization of the Hermes Agent framework. The detection monitors for the overwrite of the SOUL.md configuration file to inject a malicious GH0ST persona, execution of the hermes-agent binary from known malicious paths, and the presence of the CARBONATO_API_KEY environment variable or command-line parameter.
Detects activity associated with the CARBONATO botnet, specifically the weaponization of the Hermes Agent framework. The detection monitors for the overwrite of the SOUL.md configuration file to inject a malicious GH0ST persona, execution of the hermes-agent binary from known malicious paths, and the presence of the CARBONATO_API_KEY environment variable or command-line parameter.
Detects activity associated with the CARBONATO botnet, specifically the weaponization of the Hermes Agent framework. The detection monitors for the overwrite of the SOUL.md configuration file to inject a malicious GH0ST persona, execution of the hermes-agent binary from known malicious paths, and the presence of the CARBONATO_API_KEY environment variable or command-line parameter.
Detects various persistence mechanisms used by the CARBONATO botnet on Linux systems, including registration of cron jobs, systemd services/timers, and the usage of 'chattr +i' to make persistence files immutable.
Detects the presence of an XMRig cryptocurrency miner masquerading as the systemd-logind process. The rule identifies processes named 'systemd-logind' that either reside in an incorrect file path ('/usr/sbin/systemd-logind') or utilize command-line arguments characteristic of XMRig mining activity. This behavior is associated with the CARBONATO botnet.
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