Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
2,132 detections
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Detects the initialization of containerized LLM-based gateway services (e.g., litellm, ollama) followed closely in time by high-volume network traffic containing suspicious web injection payloads (e.g., SQLi, XSS, SSRF). The rule correlates process execution events for container launches with network activity originating from the same device to identify potential unauthorized or unsupervised automated exploitation.
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 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 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 network requests targeting Dahua devices that attempt to exploit CVE-2021-33044. The exploitation involves sending a crafted 'global.login' RPC call with specific parameters (clientType 'NetKeyboard', loginType 'Direct', authorityType 'Default') to bypass authentication and retrieve administrative session tokens.
Detects network requests targeting Dahua devices that attempt to exploit CVE-2021-33044. The exploitation involves sending a crafted 'global.login' RPC call with specific parameters (clientType 'NetKeyboard', loginType 'Direct', authorityType 'Default') to bypass authentication and retrieve administrative session tokens.
Detects repeated HTTP requests targeting the '/cgi-bin/' path on Dahua camera web interfaces with a specific user-agent string ('CGI Brute'). This behavior is characteristic of an automated brute-force campaign attempting to gain unauthorized access to camera web administration interfaces.
Detects attempts to exploit CVE-2023-2825, a path traversal vulnerability in GitLab. The rule monitors HTTP GET requests to the /uploads/ endpoint containing directory traversal sequences (e.g., ../ or encoded variants) in the URI, indicating an effort to access restricted files on the system.
Detects the creation of PHP files within the 'wp-content/uploads/elementor/forms/' directory of a WordPress installation. This behavior is highly suspicious as it often indicates an attempt by an attacker to deploy a web shell or other malicious script following successful exploitation of the Elementor plugin, which allows for arbitrary file uploads.
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).
Detects instances where base64-encoded PHP code, obfuscated behind a 'data:image/gif;base64' MIME type prefix, is written to the disk as a .php file or initiated by web server processes. This pattern is commonly used in file upload bypass attacks to execute arbitrary code.
Detects the presence of small PHP files containing both PHP execution tags and path traversal sequences. This pattern is indicative of a web shell or malicious script placed outside of intended directories via path traversal exploitation.
Detects mass automated POST requests directed at the 'super_submit_form' action within the 'admin-ajax.php' endpoint of the Super Forms WordPress plugin, indicative of exploitation attempts or vulnerability scanning against CVE-2026-14894.
Detects a malicious HTTP POST request targeting the Elementor Pro WordPress plugin's 'elementor_pro_forms_send_form' action. The rule looks for a specific attempt to bypass file upload restrictions by manipulating the array index of form fields to upload a PHP file via the 'admin-ajax.php' endpoint.
This rule detects inbound HTTP requests directed at known file paths associated with malicious PHP web shells commonly dropped within the Elementor plugin directory of WordPress installations, including attempts to pass parameters to the web shell for command execution.
This rule monitors the software inventory for outdated versions of the PostgreSQL database server. It identifies installations where the major and minor versions are below the threshold for current security releases (e.g., v18 < 6, v17 < 11, v16 < 15, v15 < 19, v14 < 24). Running outdated software increases the risk of exploitation of known vulnerabilities.
This rule monitors Syslog entries for PostgreSQL 'CREATE_REPLICATION_SLOT' commands to identify potential exploitation attempts associated with CVE-2026-6471. It detects attempts to load logical decoding plugins using suspicious path structures, including path traversal sequences ('../', '..\'), absolute paths, or UNC paths, which are not present in a known-good allowlist of plugins.
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 unauthenticated attempts to invoke Grafana API tools via the Model Context Protocol (MCP) by utilizing spoofed Mcp-Session-Id headers while bypassing bearer token authentication requirements. This primarily targets unauthorized access to API functionality on Grafana instances configured with bearer-token authentication (v1.1.0+).
Detects incoming Grafana API requests directed at vulnerable mcp-grafana server instances identified by an outdated version (pre-1.1.0). This rule correlates host-level version discovery with application-layer logs containing suspicious 'grafana_api_request' method calls, which may indicate an attempt to exploit Server-Side Request Forgery (SSRF) vulnerabilities.
Detects instances where unauthenticated users or sessions execute privileged 'tools/call' operations within the Grafana MCP dispatcher. This behavior is indicative of potential session spoofing attacks, specifically targeting vulnerabilities similar to CVE-2026-19516, where lack of an Authorization header allows unauthorized access to privileged tool functions.
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