Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects Server-Side Request Forgery (SSRF) attempts targeting vulnerable versions of Grafana MCP Server (versions < 1.1.0). The rule identifies requests attempting to access sensitive internal or cloud-metadata endpoints (e.g., 169.254.169.254, localhost, internal subnets) via the X-Grafana-URL header.
Detects network activity associated with the ProRAM C2 infrastructure. The rule monitors for DNS resolutions, TLS SNI field matches, and specific HTTP WebSocket upgrade patterns directed towards the 'clash-verge-upgrade.com' domain.
This rule detects attempted exploitation of Adobe Commerce (Magento) via GraphQL, specifically targeting Template Property Poisoning through malicious 'styles' array injection as observed in the StyleSmuggler campaign (CVE-2025-54236).
Detects suspicious GET requests to the Magento '/customer/section/load/' endpoint with specific parameters ('sections=customer' and 'force_new_section_timestamp=true'). These requests are indicative of reconnaissance activity related to the StyleSmuggler campaign, potentially associated with exploitation of Magento vulnerabilities such as CVE-2025-54236.
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 outbound web requests directed at public NPM mirrors and CDNs (unpkg, npmmirror, yarnpkg, jsdelivr) that contain strings matching known malicious package names associated with the 'Beamglea/ClickFix' campaign. This activity is typically indicative of a victim visiting a deceptive Cloudflare CAPTCHA phishing page designed to execute malicious scripts in the browser.
Detects network activity related to the Beamglea/ClickFix framework using api.keyval.org as a dead-drop resolver. The rule monitors for DNS resolutions, TLS SNI requests, and HTTP GET/PUT requests to the identified C2 infrastructure, which is used for retrieving and storing obfuscated redirect values.
This rule detects email activity involving DocuSign-themed messages that contain attachments and also coincide with URL click events that redirect users to Microsoft-related login portals (e.g., login.microsoftonline.com or teams.microsoft.com) containing 'redirect' or 'redirect_uri' parameters. This behavior is indicative of a phishing attempt designed to capture credentials or perform OAuth consent phishing by mimicking legitimate document-signing workflows.
Detects unauthorized devices or processes attempting to communicate with the Telegram Bot API (/sendMessage or /sendDocument) and monitors for credential-related terms within the request metadata. This often indicates the use of Telegram as a command-and-control (C2) channel for data exfiltration or credential theft.
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 outbound HTTP traffic originating from a WordPress host containing specific signatures associated with the Mushr00w Uploader webshell, indicating command-and-control communication or data exfiltration.
Detects outbound web requests directed at public NPM mirrors and CDNs (unpkg, npmmirror, yarnpkg, jsdelivr) that contain strings matching known malicious package names associated with the 'Beamglea/ClickFix' campaign. This activity is typically indicative of a victim visiting a deceptive Cloudflare CAPTCHA phishing page designed to execute malicious scripts in the browser.
The detection rule identifies network connections to 'dauntingmoon.online' specifically hitting '/api/verification/init' or '/api/verification/check' paths. It validates that both 'session' and 'link_id' query parameters are present in the request. This pattern is indicative of a specific adversary beaconing or command and control (C2) callback mechanism involving session-based authentication or handshake steps with a remote server.
Detects network connections initiated by common web browsers to a specific LinodeObjects domain or any subdomains within the linodeobjects.com infrastructure, which may indicate command and control communication or data exfiltration via legitimate cloud storage providers.
Detects network connections initiated by common web browsers to a specific LinodeObjects domain or any subdomains within the linodeobjects.com infrastructure, which may indicate command and control communication or data exfiltration via legitimate cloud storage providers.
Detects network traffic associated with the GemStone malicious browser extension, including initial registration to a command-and-control (C2) server on Cloudflare Workers, periodic heartbeat beacons, command polling, and external public IP address lookups for victim identification.
Detects HTTP GET requests for executable or installer files (e.g., .exe, .msi) containing 'tradingview' in the URI, originating from suspicious external domains that are not associated with legitimate software providers such as TradingView, GitHub, SourceForge, Apple, Google, or Microsoft. This activity is indicative of JSCeal malvertising campaigns targeting users with fraudulent installers.
Detects HTTP GET requests for executable or installer files (e.g., .exe, .msi) containing 'tradingview' in the URI, originating from suspicious external domains that are not associated with legitimate software providers such as TradingView, GitHub, SourceForge, Apple, Google, or Microsoft. This activity is indicative of JSCeal malvertising campaigns targeting users with fraudulent installers.
This rule detects potential unauthenticated access or unauthorized configuration modifications to an AI agent management backend. It monitors HTTP logs for requests targeting configuration endpoints that lack proper authentication, specifically identifying attempts to retrieve sensitive information like Dify or Coze keys, or attempts to inject new agent configurations via unauthenticated POST requests.
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 repeated, non-interactive requests to the Google Sheets Visualization API (gviz/tq) originating from common web browsers. This pattern is indicative of a malicious browser extension attempting to reconstruct or reinject payloads when a user visits specific targeted websites.
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