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Explore public detection logic contributed by the community across SIEM and rule languages.
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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 incoming HTTP POST requests to the /PSEMHUB/hub endpoint on Oracle PeopleSoft servers, which is indicative of exploitation attempts related to the Server-Side Request Forgery (SSRF) vulnerability identified as CVE-2026-35273.
Detects attempts to exploit the Log4Shell vulnerability (CVE-2021-44228) by identifying JNDI lookup strings (e.g., ${jndi:ldap://, ${jndi:rmi://, ${jndi:dns://) within HTTP request headers, a technique used to trigger remote code execution in vulnerable Java applications using the Log4j library.
Detects HTTP POST requests directed at a specific suspicious endpoint (/service/save.php) on a known malicious host (83.138.53.110), consistent with the exfiltration behavior of the FortiBleed EKZ stealer malware. The rule identifies potential credential theft and exfiltration over standard web protocols.
This rule detects attempts to exploit a Server-Side Request Forgery (SSRF) vulnerability in Oracle PeopleSoft by targeting the '/PSIGW/HttpListeningConnector' endpoint. The detection looks for malicious URI patterns and request bodies containing internal-only network indicators such as loopback addresses (127.0.0.1, localhost), link-local addresses (169.254.169.254), or local file access attempts (file://), which are indicative of SSRF exploitation attempts.
This rule detects internal network traffic communicating with the Telegram Bot API endpoint 'api.telegram.org' using the 'getUpdates' method. This pattern is commonly used by malware for C2 polling to retrieve commands from an adversary-controlled Telegram bot.
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 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 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 HTTP GET requests for .msc (Microsoft Management Console) files, which can be leveraged as part of an attack chain to abuse the mmc.exe binary for proxy execution of malicious configurations.
Detects suspicious WinRM SOAPAction headers indicating potential lateral movement or remote command execution (e.g., shell command, process creation, or WMI operations) over WinRM HTTP ports 5985 and 5986.
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 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 HTTP traffic patterns associated with default Cobalt Strike malleable C2 profiles, specifically identifying requests to /submit.php or /dpixel and the use of the default 'Mozilla/4.0 (compatible; MSIE 8.0;' User-Agent string.
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.
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