Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects network traffic containing a potentially malicious Microsoft Excel (.xlsx) OOXML file being downloaded. The rule identifies the presence of the 'Content-Disposition' header with an '.xlsx' extension, combined with a file signature matching the ZIP format (often used by OOXML files) and a file size exceeding 500KB, which may indicate an attempt to exploit CVE-2025-60727.
Detects Server-Side Request Forgery (SSRF) attempts targeting Microsoft Exchange via the /autodiscover/ endpoint. The attack leverages a specifically crafted X-BEResource header containing an internal IP address, which is indicative of the CVE-2021-26855 vulnerability used in ProxyLogon exploitation.
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.
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.
Detects attempts to exploit the Log4Shell vulnerability (CVE-2021-44228) by monitoring HTTP headers for JNDI lookup strings. The rule inspects traffic for malicious patterns like '${jndi:ldap://', '${jndi:rmi://', or '${jndi:dns://', which are used to trigger remote code execution in vulnerable Java applications.
Detects HTTP POST requests containing patterns associated with the Spring4Shell vulnerability (CVE-2022-22965). The rule specifically looks for payloads manipulating 'class.module.classLoader' or 'class.classLoader.resources.dirContext' to achieve Remote Code Execution (RCE) on vulnerable Spring Framework applications.
This rule detects attempts to exploit the Log4Shell vulnerability (CVE-2021-44228) by monitoring HTTP headers for malicious JNDI lookup strings. Attackers use this injection to trigger the JNDI mechanism to connect to a remote server (LDAP, RMI, DNS) and download malicious Java classes, leading to remote code execution.
Detects incoming HTTP traffic targeting Apache Struts servers, attempting to exploit CVE-2017-5638 by injecting malicious OGNL (Object-Graph Navigation Language) expressions within the 'Content-Type' header.
Detects inbound HTTP requests containing the JNDI lookup string characteristic of attempts to exploit the Log4Shell vulnerability (CVE-2021-44228) in Java-based applications.
Detects inbound HTTP requests containing JNDI lookup strings commonly used to exploit the Log4Shell vulnerability (CVE-2021-44228). The rule specifically monitors for JNDI lookups over ldap, rmi, or dns protocols within HTTP traffic, which can lead to remote code execution.
Detects incoming HTTP requests to Microsoft Exchange servers containing malicious X-AnonResource-Backend or X-BEResource headers, which are indicative of an attempt to exploit the ProxyLogon SSRF vulnerability (CVE-2021-26855).
Detects attempts to exploit the Log4Shell vulnerability (CVE-2021-44228) by monitoring HTTP headers for JNDI lookup strings. The rule inspects traffic for malicious patterns like '${jndi:ldap://', '${jndi:rmi://', or '${jndi:dns://', which are used to trigger remote code execution in vulnerable Java applications.
Detects attempts to exploit Microsoft Exchange vulnerabilities (CVE-2021-34473, CVE-2021-34523, CVE-2021-31207), collectively known as ProxyShell. The rule monitors inbound HTTP requests targeting the /autodiscover/ endpoint with specific path traversal patterns and malicious components used to stage web shells or execute arbitrary commands.
Detects attempts to exploit Apache Struts vulnerabilities by identifying OGNL (Object-Graph Navigation Language) expressions (starting with %{ or ${) within the Content-Type HTTP header, combined with requests to .action or .do endpoints.
Detects attempts to exploit the ProxyShell vulnerability (CVE-2021-34473) in Microsoft Exchange servers. The rule identifies malicious path traversal sequences, specifically utilizing encoding techniques like double URL encoding (%25) or dot-dot-slash characters within requests to the Autodiscover service, aimed at bypassing security controls.
Detects network exploitation attempts related to the Log4j vulnerability (CVE-2021-44228), where an adversary sends an HTTP request containing a JNDI lookup string (e.g., ldap://, rmi://, dns://) designed to trigger a remote code execution via vulnerable Log4j libraries.
Detects HTTP POST requests containing patterns associated with the Spring4Shell vulnerability (CVE-2022-22965). The rule specifically looks for payloads manipulating 'class.module.classLoader' or 'class.classLoader.resources.dirContext' to achieve Remote Code Execution (RCE) on vulnerable Spring Framework applications.
Detects HTTP requests containing directory traversal patterns (e.g., ../, %2e%2e/) combined with attempts to access sensitive system files like /etc/passwd, shadow files, or Windows system configuration files (boot.ini, win.ini).
This rule monitors for HTTP POST requests containing 'class.module.classLoader', which is a characteristic payload component used to exploit the Spring4Shell vulnerability (CVE-2022-22965) in Spring Framework applications. This vulnerability allows for remote code execution (RCE) by manipulating class loader properties.
Detects incoming HTTP requests to Microsoft Exchange servers containing malicious X-AnonResource-Backend or X-BEResource headers, which are indicative of an attempt to exploit the ProxyLogon SSRF vulnerability (CVE-2021-26855).
Detects inbound HTTP requests containing JNDI lookup strings commonly used to exploit the Log4Shell vulnerability (CVE-2021-44228). The rule specifically monitors for JNDI lookups over ldap, rmi, or dns protocols within HTTP traffic, which can lead to remote code execution.
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