Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
4,230 detections
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Detects network traffic initiated by the WeaselBiscuit loader targeting api.npoint.io, a known free JSON storage service often abused by adversaries as a dead drop resolver for Command and Control (C2) configurations or secondary payloads.
Detects anomalous credential retrieval activity occurring within 30 minutes of a GitLab Duo Chat GraphQL subscription request. This pattern is indicative of potential exploitation of CVE-2026-87719, which involves insecure deserialization within the GitLab EE GraphQL subscription serializer to facilitate unauthorized credential access.
Detects anomalous credential retrieval activity occurring within 30 minutes of a GitLab Duo Chat GraphQL subscription request. This pattern is indicative of potential exploitation of CVE-2026-87719, which involves insecure deserialization within the GitLab EE GraphQL subscription serializer to facilitate unauthorized credential access.
Detects anomalous serialized object payloads within authenticated GraphQL subscription requests to GitLab Duo Chat endpoints. This pattern is indicative of exploitation attempts targeting the insecure deserialization vulnerability in GitLab EE (CVE-2026-87719), where malicious payloads are injected into serialized data streams.
Detects incoming HTTP requests attempting to exploit a path traversal vulnerability in the GitLab Commits API (CVE-2026-85706). The rule looks for URI patterns containing directory traversal sequences (e.g., ../) targeting the repository commits endpoint.
Detects unauthenticated path traversal attempts targeting the GitLab repository commits API, specifically checking for URL-encoded and plain path traversal patterns (e.g., '../') in requests to the commits endpoint. This behavior is indicative of attempts to exploit vulnerabilities like CVE-2026-85706 to read arbitrary files outside the repository scope.
This rule monitors for active reconnaissance or scanning behavior by detecting a single source IP interacting with a high number of distinct ports/hosts within a short time frame (NetworkScan) or accessing a high number of distinct URI paths/404 errors (WebContentScan).
Detects potential web reconnaissance or scanning activity against Microsoft IIS servers. The rule identifies suspicious behavior by monitoring for high frequencies of distinct URI requests, excessive 404 Not Found status codes indicative of path brute-forcing, and the presence of known security scanning user-agents.
Detects the creation of a WordPress administrator account within one hour of a recorded web request to a known web shell path (Mushr00w) or suspect plugin upload directory. This correlation is a high-fidelity indicator of post-exploitation persistence and administrative account hijacking.
Detects periodic POST requests to an external endpoint containing specific request parameters (name, value, type) and a 'User-token' header, consistent with the expected beaconing intervals of the curlRAT malware (12h or 30s fast-poll).
Detects network requests to unpkg.com or npmmirror for 'index.html' files directly under a package path. This behavior deviates from standard package management usage (which typically fetches tarballs or specific JavaScript modules) and is often associated with adversaries using npm packages as hosting infrastructure for phishing landing pages.
Detects network requests to Google Sheets API containing specific markers (-tk- or val-) in the request body, indicative of potential command and control (C2) communication patterns often associated with malware payloads using Google Sheets for data exfiltration or command retrieval.
Detects HTTP POST requests to gapidriver.com/api/rest.php containing stager-specific status messages like 'build started', 'launch error', or 'all builds loaded', indicating NeedleStealer malware command-and-control activity.
Detects Odyssey Stealer malware communicating with a known C2 infrastructure using TLS and performing data exfiltration via HTTP requests to raw-IP destinations using disguised file names such as analytics.gif, pixel.png, and content.js.
Detects HTTP traffic from internal hosts to the 'gapidriver.com' domain, specifically identifying the GapiUpdate stager behavior. The rule looks for authenticated GET requests to '/api/get.php' using a specific Bearer token and User-Agent, as well as status reporting to '/api/rest.php'.
Detects HTTP traffic from internal hosts to the 'gapidriver.com' domain, specifically identifying the GapiUpdate stager behavior. The rule looks for authenticated GET requests to '/api/get.php' using a specific Bearer token and User-Agent, as well as status reporting to '/api/rest.php'.
This rule detects potential exfiltration of sensitive files, specifically 'cert.pem' and 'private.key', via HTTP POST requests to the '/api/adbk/upload' endpoint. This pattern is characteristic of the RatHat malware attempting to exfiltrate device credentials to a Command and Control (C2) server.
This rule detects network traffic indicative of the HEAVYGRAM malware beaconing to Telegram's API. It identifies HTTP requests to api.telegram.org containing specific URI strings and parameters, which suggests the bot is performing check-in activities or sending status updates via a Telegram bot channel.
Detects network communications associated with the MovieReaper C2 framework. The rule identifies HTTP requests to specific fake cloud UI assets, connections to the domain 'deadhub.org', and fallback communication attempts to a known hardcoded IP address (193.23.118.155).
Detects attempts to bypass authentication on Nacos servers, including the use of spoofed Nacos-Server User-Agent headers, suspicious API query patterns missing required access tokens, and the subsequent use of forged JWT tokens signed with default keys.
Detects attempts to bypass authentication on Nacos servers, including the use of spoofed Nacos-Server User-Agent headers, suspicious API query patterns missing required access tokens, and the subsequent use of forged JWT tokens signed with default keys.
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