Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
2,132 detections
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Detects suspicious process execution patterns originating from Langflow or Nacos AI orchestration services, including the spawning of sensitive binaries like cmd, powershell, or scripts (python/bash/sh) with suspicious command-line arguments. Additionally, it identifies potential exploitation attempts targeting known-vulnerable API endpoints (code validation and Nacos user authentication).
Detects an attempt to exploit CVE-2026-24858 in FortiCloud SSO by sending a crafted SAML authentication request that lacks a signature. This vulnerability allows an attacker to bypass authentication by providing an unsigned SAML response.
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 potential remote code execution (RCE) attempts targeting vulnerable Sub-Store instances (versions < 2.38.2). The detection identifies web browsers making network connections to local ports (38324) associated with Sub-Store, followed by the spawning of shell processes (cmd, powershell, bash, sh) by the Node.js process hosting the application.
Detects anomalous activity on WatchGuard Firebox VPN services, specifically monitoring for frequent daemon restarts or crashes (indicating potential RCE attempts) and high-volume bursts of IKE/ISAKMP negotiation failures (potentially indicating malformed packet attacks).
Detects unauthorized remote access sessions within N-able N-central by monitoring the Windows Application log for events indicating usage of the default 'MSP Support' account or source IP addresses associated with active exploitation of CVE-2026-18577.
Detects unexpected child process execution (php, bash, sh) by web server processes (php-fpm, apache, nginx) while accessing specific Magento application directories (var/report, var/log/system.log) or parameters often associated with the StyleSmuggler exploitation technique, indicating potential Remote Code Execution.
Detects potential remote code execution (RCE) attempts targeting vulnerable Sub-Store instances (versions < 2.38.2). The detection identifies web browsers making network connections to local ports (38324) associated with Sub-Store, followed by the spawning of shell processes (cmd, powershell, bash, sh) by the Node.js process hosting the application.
KQL Query from file: cve-2026-19516-ssrf-exploitation-attempt-against-mcp-grafana-100.kql
This rule detects potential Server-Side Request Forgery (SSRF) activity where web application or runtime processes attempt to access the Cloud Instance Metadata Service (IMDS) or container task metadata endpoints. By monitoring network connections and application logs, the rule filters out known legitimate metadata clients and identifies suspicious processes frequently associated with web-based vulnerabilities that are repeatedly querying sensitive metadata paths.
Detects high-frequency requests to the RubyGems legacy API key endpoint, which may indicate attempts to harvest or bruteforce developer API keys. The rule specifically monitors for request patterns involving variations like .yaml, .json, or parameter-based variants often observed in scanning activities.
This rule detects potential Server-Side Request Forgery (SSRF) attempts targeting specific UK council ModernGov websites (e.g., Lambeth, Wandsworth, Southwark). It looks for outbound HTTP requests from non-browser clients (specifically identifying 'Ruby' in the User-Agent string) to these specific gov.uk domains, with a threshold to catch repeated attempts.
This rule detects potential Server-Side Request Forgery (SSRF) attempts targeting specific UK council ModernGov websites (e.g., Lambeth, Wandsworth, Southwark). It looks for outbound HTTP requests from non-browser clients (specifically identifying 'Ruby' in the User-Agent string) to these specific gov.uk domains, with a threshold to catch repeated attempts.
This rule monitors incoming HTTP requests for the presence of the Base64-encoded string 'rO0AB', which is the standard header for serialized Java objects. The presence of this header in an HTTP request body is a strong indicator of a Java deserialization exploitation attempt.
This rule detects common patterns associated with Expression Language (EL) injection attacks in HTTP traffic. These patterns typically attempt to invoke Java reflection, runtime execution, or process creation through vulnerable applications utilizing templating engines or expression evaluators (e.g., OGNL, Spring Expression Language). Attackers use these to achieve remote code execution (RCE).
This rule detects HTTP requests containing an invalid or malformed 'Transfer-Encoding' header value. Such malformations are often used in HTTP Request Smuggling (HRS) attacks to cause desynchronization between a front-end load balancer/proxy and a back-end web server, potentially allowing an attacker to smuggle requests, bypass security controls, or perform cache poisoning.
This rule monitors for HTTP header folding, a legacy evasion technique where header fields are split across multiple lines by using whitespace characters (tabs or spaces). This technique may be used by adversaries to bypass security controls such as web application firewalls or load balancers by smuggling malicious payloads or obfuscating traffic.
Detects repeated HTTP request field length anomalies which may indicate attempts to exploit buffer overflows, memory corruption vulnerabilities, or parser abuse against web services.
This rule detects multiple instances of HTTP double-encoded URIs from a single source within a 60-second window. Attackers often use double encoding to bypass security filters, WAFs, or input validation mechanisms that only perform a single decoding pass. This behavior is indicative of attempted exploitation, evasion, or directory traversal attacks.
Detects web server processes (e.g., w3wp.exe, nginx.exe, tomcat.exe) spawning command-line interpreters or utilities that could indicate remote code execution, web shell activity, or post-exploitation discovery/download attempts.
Detects web server processes (e.g., w3wp.exe, nginx.exe, tomcat.exe) spawning command-line interpreters or utilities that could indicate remote code execution, web shell activity, or post-exploitation discovery/download attempts.
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