Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects anomalous database activity on Magento e-commerce platforms where a SELECT operation against sensitive payment-related tables is followed by a DELETE operation on the same table within the same host context. This sequence is indicative of an attacker exfiltrating credit card data and subsequently attempting to remove forensic evidence of the theft.
Detects the deployment of the CARBONATO botnet's Hermes Agent within containerized environments. The rule identifies specific artifacts such as the 'SOUL.md' persona configuration, 'netd-svc' container references, and indicators of AI-focused credential theft (e.g., searching for OpenAI or Anthropic API keys) orchestrated by the GH0ST AI agent.
Detects the use of the 'nsenter' utility to target the PID 1 namespace with host-level namespace flags. This technique is used by the CARBONATO botnet to escape from a privileged Docker container and execute commands on the underlying host system, leveraging the host filesystem mount.
Detects unauthorized access to unauthenticated Docker registry API endpoints on port 5000. This rule identifies catalog enumeration and the pulling of malicious container images associated with the CARBONATO botnet, including the retrieval of image manifests and configuration files that expose sensitive environment variables and credentials.
Detects persistence mechanisms used by the CARBONATO botnet on Linux-based Docker hosts. The rule monitors for the application of immutable file attributes using 'chattr +i' on identified watchdog binaries (specifically '.docker-network-monitor'), the creation of malicious cron jobs, the enabling of suspicious systemd timers ('docker-network-resolver'), and the execution of specific persistence-related shell scripts.
Detects the deployment and operational artifacts associated with the Hermes Agent framework using the CARBONATO GH0ST persona on Linux systems. This detection focuses on identifying specific file-system indicators, including persona configuration files (SOUL.md), loot staging directories, and deployment entry scripts (entry.sh or CARBONATO_API_KEY artifacts) that indicate malicious activity and potential AI-driven Telegram command and control (C2) staging.
Detects the use of the 'getevent' utility on Android/Linux systems to monitor and capture raw input events from '/dev/input'. This technique is often used by mobile malware to perform keylogging by intercepting touch or physical keystroke event streams, bypassing standard application-level input handling.
Detects extension code implementing Caesar-shift-over-base64 decoding of a remote proxy server list fetched from dead-drop hosts, feeding a PAC-based proxy configuration
IOC hunt across DNS, network, and file-hash telemetry for the Ledger Google Ads phishing campaign. Vercel redirect domains are matched by exact hostname (DNS query name / parsed URL host) rather than substring, eliminating false positives from unrelated strings that merely contain a look-alike domain fragment. GCS bucket and Google Sites path IOCs remain substring-matched since the bucket IDs and page slugs are already highly specific.
Detects network navigation to Google Sites pages that match patterns associated with known Ledger-impersonating phishing campaigns. These sites are often reached through redirect chains involving Google Ads, cloud storage, and rotating domains.
Detects network navigation to Google Sites pages that match patterns associated with known Ledger-impersonating phishing campaigns. These sites are often reached through redirect chains involving Google Ads, cloud storage, and rotating domains.
Detects network navigation to Google Sites pages that match patterns associated with known Ledger-impersonating phishing campaigns. These sites are often reached through redirect chains involving Google Ads, cloud storage, and rotating domains.
Detects HTTP POST requests directed at Grav CMS endpoints where the __unique_form_id__ parameter contains directory traversal sequences (e.g., ../). This behavior is indicative of attempted exploitation of CVE-2026-42608, aimed at bypassing file system restrictions to write files to unauthorized locations outside the application's expected form data directory.
Detects instances where a Claude process accesses a 'SKILL.md' file, followed closely by a suspicious command execution on the same device. The rule specifically targets command-line activity that involves encoding, download-and-execute patterns, staging in sensitive directories, or communication with suspicious domains/IPs, which is indicative of a supply-chain or poisoned agent-skill file attack.
Detects the GitHub Actions runner executing the Bun runtime to run a hidden index.js payload, specifically associated with the compromised 'actions-cool/issues-helper' or 'actions-cool/maintain-one-comment' actions. The rule filters for process execution context tied to GitHub runner internals and validates that the Bun execution follows the pattern observed in these supply chain attacks.
Detects UNC6240 PSEMHUB.war web shell/tunnel/trojanized installer artifacts by distinctive content markers (x.jsp, u.jsp, tunnel.jsp/jspx, Ple64.exe)
Detects UNC6240 PSEMHUB.war web shell/tunnel/trojanized installer artifacts by distinctive content markers (x.jsp, u.jsp, tunnel.jsp/jspx, Ple64.exe)
Detects Neo-reGeorg tunnel.jsp/tunnel.jspx servlets used by UNC6240 to establish SOCKS5-over-HTTP(S) tunneling from compromised PeopleSoft PSEMHUB.war hosts
Detects instances where a command-line utility or scripting interpreter references a 'SKILL.md' configuration file, typically associated with agent-skill payloads, followed shortly by network-based file download activity. This behavior is indicative of a secondary payload retrieval triggered by an adversary-controlled or poisoned configuration file.
Detects the creation of potential hook or startup scripts within hidden AI coding assistant directories (.claude, .vscode, .cursor) followed by the execution of a process from those same directories. This pattern is consistent with supply chain compromises where trojanized extensions or MCP servers are leveraged for code execution.
Detects incoming web requests containing a 'pagename' parameter with URL-encoded path traversal sequences, which could allow unauthorized file access or directory traversal attacks against WordPress page-template resolution as described in CVE-2026-87902.
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