Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects incoming HTTP POST requests targeting the 'admin-ajax.php' endpoint with parameters associated with a malicious file upload exploit against Elementor Pro (CVE-2026-32475). The rule specifically looks for the 'elementor_pro_forms_send_form' action and the presence of PHP file extensions within form fields, indicating an attempt to upload a web shell.
Detects potential exfiltration activity by identifying HTTP POST/PUT requests to known suspicious domains, including specific operator-controlled hosts and anonymous file sharing services, as well as the use of HTTP Range headers for bulk API data exfiltration.
Detects indicators of cross-site scripting (XSS) attacks aimed at stealing web session cookies. The rule covers the injection of malicious scripts into client responses, anomalous CORS preflight responses that could facilitate data exfiltration, and subsequent HTTP callbacks or beaconing containing cookie data to external endpoints.
Detects Server-Side Request Forgery (SSRF) attempts against Grafana instances using the 'X-Grafana-URL' header. The rule identifies requests attempting to access internal network ranges, link-local addresses, or cloud metadata endpoints (e.g., 169.254.169.254, localhost) via the Grafana MCP interface, particularly when non-GET HTTP methods are used to potentially mutate internal resources.
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 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.
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).
This rule monitors web server logs (IIS, W3C, and Azure Application Gateway) for incoming traffic that matches known malicious or automated vulnerability scanners, as well as requests for common system fingerprinting paths (such as /server-status or /.git/config). The rule aggregates these hits by source IP address to identify potential active reconnaissance or vulnerability scanning attempts.
Detects network activity communicating with Google Drive domains (drive.google.com and www.googleapis.com). This rule monitors outbound traffic, which may indicate the use of Google Drive as a command-and-control (C2) channel or for unauthorized data exfiltration.
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 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.
This rule identifies potential command and control (C2) activity by correlating DNS over HTTPS (DoH) requests initiated by non-browser or unsigned processes with subsequent network connections to a known malicious C2 domain (gw.proxyvector.cc) within a 15-minute window.
Detects outbound HTTP POST requests to suspicious .ru domains and DNS queries for these domains, indicative of C2 beaconing activity likely associated with a supply chain compromise affecting the Pub.dev ecosystem.
Detects network connection attempts to specific external domains associated with suspicious JavaScript payloads. The rule filters for specific file paths (e.g., mpackage.js, bsc-loader.js) linked to known malicious or suspicious URL patterns on cdn.claritydelivr.com, rcrsinnovations.com, konverto.in, and cdn.api-middle-connect.com, which may indicate C2 beaconing or malware infection.
This rule identifies potential command and control (C2) activity by correlating DNS over HTTPS (DoH) requests initiated by non-browser or unsigned processes with subsequent network connections to a known malicious C2 domain (gw.proxyvector.cc) within a 15-minute window.
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.
Detects anomalous outbound HTTP traffic directed to /cli/check containing a specific 'X-CLI-Token' header value. This pattern is indicative of a Command and Control (C2) beaconing mechanism used by a compromised CLI tool or supply chain implant to verify connectivity or receive instructions.
This rule monitors for DNS queries, HTTP requests to '/cli/check', and TLS SNI traffic directed towards the domain 'coder-infra.com', which is associated with a suspected compromise of a Coder registry.
Detects network activity (TCP, DNS, and HTTP) directed towards a known rogue infrastructure IP identified in a supply chain compromise affecting the Coder registry. The rule alerts on attempts to resolve or communicate with this infrastructure to download backdoored Terraform modules or interact with malicious resources.
Detects network activity (TCP, DNS, and HTTP) directed towards a known rogue infrastructure IP identified in a supply chain compromise affecting the Coder registry. The rule alerts on attempts to resolve or communicate with this infrastructure to download backdoored Terraform modules or interact with malicious resources.
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.
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