Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects endpoint behavior consistent with AI-assisted exploit development, characterized by the execution of reverse engineering and vulnerability research tools (e.g., IDA Pro, Ghidra, AFL) interleaved with frequent outbound network connections to LLM APIs, followed by the local compilation of a new executable or DLL.
Detects coordinated activity patterns across multiple distinct tenant environments within a one-hour window. The rule looks for shared infrastructure (C2 domains), malicious tool hashes, or specific agentic-CLI command line signatures (e.g., related to orchestration, reconnaissance, or exfiltration) that suggest an AI-orchestrated actor or automated attack campaign affecting multiple organizations simultaneously.
Detects anomalous, high-volume file access by a single process, followed by local file compression or archiving, and subsequent outbound data transfer to a non-internal IP address. This pattern is characteristic of automated agents (like those used in the GTG-1002/Anthropic AI-orchestrated campaigns) performing rapid data triage and staging for exfiltration.
Detects anomalous activity from IDEs or AI coding assistant extension host processes (e.g., VS Code, Cursor, JetBrains). The rule alerts when these processes spawn children that access sensitive local credential files, perform network connections to non-standard/unexpected domains, or modify critical CI/CD build script configuration files, which is indicative of a supply chain compromise within the developer environment.
Detects potential runtime polymorphic malware that modifies its own executable or script content while simultaneously communicating with generative AI or LLM API endpoints. This behavior indicates an adversary using LLMs to regenerate obfuscated code or mutate malware signatures dynamically at runtime.
Detects instances where AI-assisted development tools (such as Claude, Codex, Copilot, or Gemini) initiate command-line processes (e.g., shells, interpreters, or network utilities) with arguments indicative of credential access, reconnaissance, or sensitive file interactions.
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.
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.
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.
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.
Detects activity associated with the CARBONATO botnet utilizing the GH0ST RAT agent to locate, stage, and exfiltrate sensitive AI API keys. The detection monitors for file write operations within specific hidden directories ('/root/.hermes/loot/') and the use of malicious command-line patterns or process context associated with Hermes Agent or GH0ST malware to search for configuration files (e.g., .env) containing sensitive API credentials.
Detects activity associated with the CARBONATO botnet utilizing the GH0ST RAT agent to locate, stage, and exfiltrate sensitive AI API keys. The detection monitors for file write operations within specific hidden directories ('/root/.hermes/loot/') and the use of malicious command-line patterns or process context associated with Hermes Agent or GH0ST malware to search for configuration files (e.g., .env) containing sensitive API credentials.
Detects activity associated with the CARBONATO botnet utilizing the GH0ST RAT agent to locate, stage, and exfiltrate sensitive AI API keys. The detection monitors for file write operations within specific hidden directories ('/root/.hermes/loot/') and the use of malicious command-line patterns or process context associated with Hermes Agent or GH0ST malware to search for configuration files (e.g., .env) containing sensitive API credentials.
Detects activity associated with the CARBONATO botnet utilizing the GH0ST RAT agent to locate, stage, and exfiltrate sensitive AI API keys. The detection monitors for file write operations within specific hidden directories ('/root/.hermes/loot/') and the use of malicious command-line patterns or process context associated with Hermes Agent or GH0ST malware to search for configuration files (e.g., .env) containing sensitive API credentials.
Detects activity associated with the CARBONATO botnet utilizing the GH0ST RAT agent to locate, stage, and exfiltrate sensitive AI API keys. The detection monitors for file write operations within specific hidden directories ('/root/.hermes/loot/') and the use of malicious command-line patterns or process context associated with Hermes Agent or GH0ST malware to search for configuration files (e.g., .env) containing sensitive API credentials.
TokenGrabber Builder: Webhook XOR/Base64 Obfuscation Artifacts - detects webhook.txt persistence, XOR 0x5A + Base64 webhook obfuscation, WEBHOOK_PLACEHOLDER injection, and the _x() decode routine used to recover the exfiltration endpoint
Detects sensitive cPanel/WHM administrative commands or system file modifications occurring within one hour of a suspected authentication bypass event, indicative of potential post-exploitation activity related to CVE-2026-41940.
Detects potential exploitation of CVE-2026-41940 affecting cPanel/WHM, where administrative actions occur without a preceding successful login event from the same source IP within a 30-minute window. This indicates an authentication bypass attempt.
Detects anomalous outbound network connections initiated by security and developer tooling (Trivy, Checkmarx, LiteLLM, Telnyx). This behavior is consistent with supply-chain attacks, such as those attributed to the UNC6780/TeamPCP threat group, where compromised tooling is leveraged to exfiltrate sensitive cloud credentials or API keys to external, non-vendor infrastructure.
Detects anomalous, rapid execution of a high volume of diverse offensive security tools (scanners, exploitation frameworks, and C2 agents) from a single parent process within a short window, which is characteristic of automated LLM-driven orchestration or scripted attack tool chaining.
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