Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects network traffic (DNS, TLS, HTTP, and TCP) originating from internal assets to known infrastructure associated with the QTFY proxy botnet/C2 framework. It identifies communication with specific C2 domains, proxy management systems, and associated malicious IP ranges.
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.
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 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 attempts to exploit the Log4j vulnerability (CVE-2021-44228) by identifying JNDI lookups (ldap, rmi, http, ldaps, dns) in inbound HTTP traffic. These lookups are a hallmark of the Log4Shell attack vector, allowing for remote code execution.
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 requests originating from the Netch gateway tool or similar environments, attempting to fetch auto-configuration profiles for Shadowsocks from the external domain 'www.sheng886.top' using the '/api/v1/internal/shadowsocks/auto-config' endpoint. The rule specifically matches the Go-http-client user agent, which is common in automated scripts and Go-based proxy tools.
This rule detects network traffic indicative of the PEEP Browser RAT, specifically HTTP beacons targeting the URI path '/api/commands'. It monitors for unique HTTP headers ('X-PEEP-Agent-Id', 'X-PEEP-Agent-Key') and connections to known malicious infrastructure.
Detects high-frequency requests for 'tools/list' from a single source IP across multiple unique destination hosts. This pattern is indicative of a breadth-first scan attempting to identify reachable Model Context Protocol (MCP) servers, rather than typical legitimate client-to-server communication.
Detects instances of an mcp-grafana server responding with an HTTP 200 status code to a 'tools/call' request without an Authorization header, indicating potential unauthenticated remote tool execution on a vulnerable or misconfigured server.
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 unauthenticated GET requests to GitLab CI/CD job artifact download endpoints on a public repository, which can expose leaked secrets bundled into build artifacts.
Detects high-velocity, automated web activity originating from a single source IP that simultaneously performs widespread endpoint enumeration, tests sensitive authentication flows, and attempts common injection attack payloads. This behavior is indicative of an automated scanner, crawler, or malicious botnet agent performing rapid discovery and exploitation attempts.
Detects automated reconnaissance and enumeration of sensitive web application paths (admin, config, environment files, etc.) from a single source IP. The rule identifies high-frequency request patterns that target specific non-public surface areas while excluding known search engine crawlers and monitoring bots.
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 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.
This rule detects attempts to exploit the LiteLLM proxy pass-through endpoint to interact with the cloud Instance Metadata Service (IMDS). Specifically, it identifies configuration attempts to route traffic to the IMDS IP (169.254.169.254) and subsequent requests to retrieve IAM security credentials, which is indicative of a Server-Side Request Forgery (SSRF) attack to steal cloud identity tokens.
Detects an HTTP GET request to 'dl.php' containing an 'f' parameter (target file) and an 'k' parameter (access token), followed by a response body starting with the 'MZ' header, indicating the successful download of a Windows PE executable as part of a potential phishing campaign stage-2 payload delivery.
Detects an HTTP GET request to 'dl.php' containing an 'f' parameter (target file) and an 'k' parameter (access token), followed by a response body starting with the 'MZ' header, indicating the successful download of a Windows PE executable as part of a potential phishing campaign stage-2 payload delivery.
Detects anomalous, high-volume unauthenticated POST requests to the Elementor Pro 'admin-ajax.php' endpoint with the 'elementor_pro_forms_send_form' action. This behavior is indicative of potential exploitation attempts or reconnaissance associated with the Elementor Pro file upload vulnerability (CVE-2026-32475).
This rule detects attempts to exploit a vulnerability in the WordPress Super Forms plugin (CVE-2026-14894). The rule monitors for malicious file upload requests containing embedded PHP code or attempts to bypass filename extensions for PHP files via the super_submit_form AJAX action.
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