Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule monitors outgoing HTTP traffic for a specific numeric URI path pattern ( /49890878) which is characteristic of beaconing behavior to a command-and-control (C2) server. Such static, non-descriptive URI paths are frequently used by malware to maintain consistent connectivity to an adversary-controlled infrastructure.
This rule detects suspicious network connections to GitHub and Postimg where specific assets are retrieved by a non-browser User Agent. This behavior is associated with the TWINLOOT campaign, where a Python-based implant retrieves fake loading-screen assets as part of a C2 communication sequence, utilizing legitimate image and video hosting services as dead-drop resolvers.
This rule detects two components of a malicious campaign using Google Sites to host fake OpenAI Codex installer lures. The first rule detects when a response body from an external server contains an iframe pointing to the domain 'bright-links.com'. The second rule detects client-side requests to Google Sites paths containing 'codex', indicating a user is navigating to the lure page.
Detects periodic (beaconing) HTTP POST requests directed to '/api/beacon' from endpoints. The detection logic monitors for consecutive connections occurring within a 3-second interval, specifically searching for JSON payloads containing identification fields (id, user, host, pid) characteristic of C2Looper backdoor traffic.
Detects periodic beaconing and configuration polling by the TWINLOOT implant using Azure Blob Storage as a dead-drop mechanism. The rules identify specific TLS SNI patterns and HTTP requests for 'cfg.json' files hosted on Azure Blob storage using non-browser user-agents.
This rule detects potentially malicious, unauthenticated GraphQL mutation requests targeting common data modification operations ('delete', 'destroy', 'remove', 'update'). By checking for missing Authorization and Session tokens during frequent mutation attempts, it identifies potential exploitation attempts or unauthorized data manipulation attempts against an exposed GraphQL endpoint.
Detects potential exploitation of the ScreenConnect SetupWizard.aspx to bypass authentication and create unauthorized administrative users. The rule monitors for the creation or modification of User.xml or Users.xml files in the ScreenConnect application directories, correlating these file events with suspicious process activity (such as cmd.exe or powershell.exe) or web requests to the SetupWizard.aspx endpoint.
Detects network traffic indicating potential Command and Control (C2) tasking communication via Microsoft SharePoint. The rule monitors for requests to specific SharePoint paths associated with the TWINLOOT campaign, which leverages legitimate cloud infrastructure for malicious command delivery.
Detects outbound HTTP POST requests to a URI path '/api/beacon' containing a specific JSON structure ('id', 'user', 'host', 'pid'), which is characteristic of the C2Looper beaconing behavior.
This rule detects network traffic patterns associated with the msaRAT remote access trojan (RAT) as it initializes WebRTC communication. It identifies the initial POST request to a token service and the subsequent response containing Twilio TURN and Google STUN relay server configurations, which are used by the malware to establish peer-to-peer tunnels for command-and-control communication.
This rule detects potential SQL injection attacks and anomalous request patterns targeting the '/api/session/reset_password' IIS API endpoint. It identifies common SQL injection payloads within the HTTP request body and flags excessive requests to this endpoint that lack expected JSON structure, which may indicate automated scanning or credential stuffing attempts.
Detects outbound network traffic from internal hosts to known malicious IP addresses associated with AdaptixC2 infrastructure. This rule identifies both general TCP connections and HTTP beaconing activity to these C2 servers, which are used for command and control purposes.
Detects anomalous, non-browser process activity interacting with Microsoft Teams APIs associated with the TWINLOOT threat campaign. The rules identify suspicious token retrieval requests and unauthorized authentication headers from processes that do not identify as legitimate browser or Teams application agents, indicating potential abuse of application access tokens and authentication flows.
Detects data exfiltration by the Kynx Stealer ChunkSender module which uses HTTP POST requests to a specific ingestion path.
Detects unauthenticated WordPress administrator account takeover attempts targeting the User Profile Builder plugin. The rule identifies inbound HTTP GET requests containing the 'autologin=true' parameter and a forged '_wpnonce' value matching the 'autologin-1-' pattern, which exploits an authentication bypass vulnerability (CVE-2026-15826) to gain unauthorized session access as user ID 1.
This rule detects potential exploitation of CVE-2026-15826, an authentication bypass vulnerability in the WordPress User Profile Builder plugin. It monitors HTTP POST requests to 'admin-ajax.php' or the 'profile-builder' endpoint for username parameters between 61 and 70 characters long, which is a known exploit condition for triggering a type confusion in the wppb_log_in_user() function that could allow unauthorized access as user ID 1.
Detects HTTP POST requests characteristic of the Kynx Stealer's ChunkSender module. The rule monitors for specific URI patterns used during the exfiltration phase, where stolen data categories like passwords, cookies, and system information are sent to a remote C2 panel.
Detects potential SQL injection attempts targeting OGC-compliant web services (such as GeoServer) via specific query parameters like 'cql_filter' or 'filter'. The rule identifies malicious patterns including common SQL keywords and syntax (union, select, information_schema, pg_sleep) within the request URI, query string, or body.
Detects network activity associated with the TWINLOOT malware, identifying command-and-control communication through TLS ALPN, custom HTTP User-Agent strings, and specific SNI values for known C2 infrastructure.
Detects HTTP GET requests to known Mirage2FA phishing infrastructure domains and specific URI patterns associated with the retrieval of JavaScript loaders. This rule monitors for specific URL paths ('/xls/') and naming conventions (e.g., 'a1p2i.js') characteristic of the Mirage2FA phishing kit, which is used to harvest 2FA tokens.
This rule detects HTTP requests directed towards known malvertising domains that serve trojanized MSI installers. The rule identifies specific suspicious hostnames and a common URL pattern used for payload delivery.
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