Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Monitors GitHub audit logs for suspicious or high-risk activities within CI/CD pipelines, including actions triggered by forks, workflow approvals, branch policy overrides, self-hosted runner registration, and sensitive secret access.
Monitors IIS web servers for signs of potential exploitation by tracking suspicious child processes spawned by worker processes (w3wp.exe/iisexpress.exe), tracking unexpected WER (Windows Error Reporting) crashes associated with IIS workers, aggregating IIS-related application crashes, and detecting anomalous W3C IIS log request patterns (e.g., malformed content-length, negative bytes, or suspicious URI characteristics).
Detects classic SQL injection attack patterns within incoming HTTP requests, such as UNION SELECT statements, boolean-based tautologies (1=1), table dropping commands, or common URL-encoded quote characters.
Detects network traffic containing the Java Serialization magic header 'AC ED 00 05'. This sequence is commonly used to initiate Java deserialization attacks, which can lead to remote code execution if the application insecurely deserializes untrusted data.
Detects incoming HTTP traffic targeting Apache Struts servers, attempting to exploit CVE-2017-5638 by injecting malicious OGNL (Object-Graph Navigation Language) expressions within the 'Content-Type' header.
Detects common SQL injection patterns within the HTTP URI query string. The rule monitors established network traffic to web servers and uses regex matching to identify attempts to use SQL keywords like UNION SELECT, OR 1=1 boolean-based attacks, blind SQL injection techniques (sleep/benchmark), and attempts to access information_schema metadata tables.
Detects common XSS attack patterns within HTTP URI requests, specifically monitoring for script tags or event handler attributes such as 'onerror' and 'onload' which are used to execute malicious JavaScript in a user's browser.
This rule detects attempts to exploit the Log4Shell vulnerability (CVE-2021-44228) by monitoring HTTP headers (User-Agent, X-Forwarded-For, Referer) for JNDI lookup strings. The JNDI lookup mechanism in vulnerable Log4j libraries allows an attacker to execute arbitrary code by pointing the lookup to a malicious LDAP, RMI, or DNS server.
This rule detects attempts to inject malicious JavaScript code via HTTP URI requests. It uses PCRE pattern matching to identify common XSS indicators such as <script> tags, JavaScript event handlers (onerror, onload), and attempts to access document.cookie, which are indicative of stored or reflected Cross-Site Scripting (XSS) attack patterns.
Detects HTTP POST requests containing multipart form data that include suspicious PHP functions commonly associated with webshells, such as eval(), base64_decode(), system(), or passthru(). This indicates a potential attempt to upload or execute a malicious PHP script on a web server.
Detects HTTP requests attempting to access sensitive internal IP addresses (RFC-1918) or cloud metadata services (e.g., 169.254.169.254) which are common indicators of Server-Side Request Forgery (SSRF) exploitation attempts.
This rule monitors for potential Server-Side Template Injection (SSTI) exploitation by detecting web application processes (such as Java, Python, or Web Server binaries) that initiate child processes (such as shell interpreters or script engines) while their command line contains common SSTI markers or exploitation patterns like '{{7*7}}', 'subprocess.Popen', or 'java.lang.Runtime'. This indicates an attacker has successfully escalated from template injection to remote code execution.
Detects HTTP requests containing a UNION SELECT pattern in the URI query string, which is a common indicator of a SQL injection attempt aimed at exfiltrating data or manipulating database queries.
Detects application log patterns indicative of a memory leak exploitation attempt against vLLM using the Python Imaging Library (PIL). This behavior is associated with an ASLR bypass technique leveraging BytesIO object manipulation, a prerequisite for a subsequent heap overflow vulnerability.
Detects web server processes (e.g., httpd, nginx) spawning common shell interpreters (sh, bash, cmd.exe) that execute suspicious commands often used in reconnaissance or download stages of an attack, such as 'whoami', 'wget', or 'curl'. This behavior is characteristic of an exploited web application being used as a staging or command-and-control pivot point.
This rule monitors Microsoft IIS access logs for unauthenticated POST requests targeting the '/accessv2' endpoint from non-private, external IP addresses. This activity may indicate an attempt to exploit a public-facing application, potential web shell interaction, or unauthorized access attempts.
Detects potential exploitation of the ToolShell remote code execution vulnerability (CVE-2025-53770) in on-premises Microsoft SharePoint servers. Attackers have been observed sending POST requests to the 'ToolPane.aspx' endpoint and subsequently dropping webshells with specific names in the SharePoint LAYOUTS directory.
This rule detects potential Log4Shell (CVE-2021-44228) exploitation attempts by identifying JNDI injection patterns in web request headers, process command lines, and syslog messages. It further identifies suspicious outbound network callbacks to known malicious infrastructure associated with these exploitation attempts.
This rule detects exploitation attempts targeting CVE-2026-0300 in Palo Alto Networks PAN-OS. It identifies suspicious network connections to User-ID Authentication Portal ports (6081, 6082) from external IP addresses, excluding RFC1918 and loopback ranges. Additionally, it looks for a specific anomalous User-Agent string associated with the CL-STA-1132 threat actor, which has been observed during exploitation of this vulnerability.
Detects a potential exploitation attempt of CVE-2026-42824, involving a parameter-to-prompt injection in M365 Copilot to extract sensitive data identifiers, followed by an exfiltration attempt via a Bing Search-by-Image SSRF request.
This rule detects exploitation attempts targeting CVE-2026-0300 in Palo Alto Networks PAN-OS. It identifies suspicious network connections to User-ID Authentication Portal ports (6081, 6082) from external IP addresses, excluding RFC1918 and loopback ranges. Additionally, it looks for a specific anomalous User-Agent string associated with the CL-STA-1132 threat actor, which has been observed during exploitation of this vulnerability.
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