Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
7,143 detections
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Detects anomalous process execution where a non-privileged process spawns a child process with root/SYSTEM (uid 0) privileges without passing through recognized elevation binaries (e.g., sudo, su, pkexec). This behavior is consistent with post-exploitation privilege escalation techniques, such as exploiting hijacked file descriptors or callback structures to gain root authority.
This rule identifies Linux devices with kernel versions that are vulnerable to CVE-2026-80844, CVE-2026-81000, CVE-2026-68121, and CVE-2026-74469. It parses the OSBuild field to extract kernel major, minor, and patch version numbers and compares them against known unpatched releases.
Detects a suspected exploitation attempt of CVE-2026-81000, known as TUNderflow. The detection looks for a sequence of events where a process initializes a user namespace (unshare) followed by a kernel panic or error report from the tun/tap driver originating from the same process lineage within a short timeframe, which is indicative of an integer overflow exploit leading to kernel instability.
This rule detects known JavaScript payloads associated with the JWR phishing framework by matching their SHA-256 file hashes. This is a signature-based detection for malicious script files commonly used in phishing attacks.
Detects HTML files utilizing the 'GhostCode' technique to hide malicious phishing redirects. The technique involves a password-protected HTML lure that uses JavaScript (Web Crypto API) to derive an AES-256-GCM key from a user-provided password via PBKDF2, decrypt an embedded ciphertext payload, and dynamically redirect the user to a concealed phishing URL.
Detects file operations (open, read, write, rename) involving common sensitive credential files (e.g., .kdbx password databases, .ovpn and .pcf configuration files, .pem, and .ssh directory contents) by processes not authorized to interact with these files.
Detects a suspected malicious sequence associated with RatHat activity. The rule identifies a device fetching an injection template configuration from a remote URL, followed by the exfiltration of credentials or form data to specific API endpoints on the same device within a 15-minute window.
Detects high-frequency, unauthenticated Redis PING/AUTH attempts indicative of a reconnaissance scan against the Redis service. This activity typically represents an adversary performing mass fingerprinting or attempting to identify unsecured Redis instances.
Detects attempts to bypass the Redis Lua scripting environment sandbox by injecting 'require' and 'dofile' commands within an 'EVAL' request. These commands are typically used to load external modules or files, which, if successful, could allow an attacker to achieve arbitrary code execution on the server hosting the Redis instance.
Detects unauthorized attempts to access the Marimo Notebook terminal via a WebSocket connection, indicative of an exploit attempt targeting CVE-2026-39987.
Detects the creation of files within the /etc/cron.d/ directory initiated by the redis-server process, specifically looking for malicious payloads containing bash -c and /dev/tcp/ command wrappers indicative of a reverse shell or beaconing persistence mechanism often used by Redis-targeting botnets.
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 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.
This rule detects potential automated network scanning activity originating from hosts that have recently executed cPanel-related processes or binaries. It flags devices that exhibit a high frequency of connection attempts across a diverse range of remote ports and IP addresses within a short timeframe after cPanel interaction, which is characteristic of worm propagation or automated exploitation attempts targeting web server management interfaces.
Detects potential exploitation of CVE-2025-3248 in Langflow by identifying suspicious inbound network traffic targeting the /api/v1/validate/code endpoint, correlated with subsequent python child processes containing base64 decoding and execution primitives such as eval, exec, or subprocess.
Detects the GHAPPIER four-stage malware loader, specifically targeting npm-based JavaScript files. The rule identifies malicious activity through specific artifacts including hardcoded C2 URLs (vercel.app domains), campaign markers, file paths, and eval-based execution patterns.
This rule detects potentially malicious modifications to package.json files in npm projects or suspicious npm registry telemetry. It flags manifest files containing common obfuscation markers or excessive/unusual dependencies often associated with supply chain attacks, such as crypto, child_process, and common third-party packages frequently used in malicious npm activity.
This rule detects the GHAPPIER multi-stage loader, typically observed in 'indexe.cjs' files. The loader fetches and executes a remote payload from a Vercel-hosted domain (primevector-app924560.vercel.app) using 'eval' on retrieved content, or matches specific payload identification tags.
The detection rule monitors for access to files commonly used to store sensitive information, including .git-credentials, .netrc, and .gitconfig files configured to store credentials. Accessing these files is a common indicator of credential theft attempts by adversaries looking for plaintext authentication data to pivot to other systems or services.
Detects Node.js processes executing suspicious command lines that involve fetching and executing remote JavaScript code. This behavior is indicative of a loader or downloader script commonly used to pull and evaluate malicious payloads at runtime, specifically referencing indicators associated with 'GHAPPIER'.
Detects the obfuscated index.js payload bundled in the compromised actions-cool/issues-helper and actions-cool/maintain-one-comment commit a0c53dd42fc842d2f9276c5a1d4f9a26abe8713d, executed via 'bun run $GITHUB_ACTION_PATH/index.js'
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