Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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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 outbound HTTP POST requests with specific URI patterns (/rob/ or /ins/) that are indicative of TrickBot malware command and control (C2) check-in activity.
Detects DNS query traffic where the subdomain label length exceeds 50 characters and contains patterns consistent with Base64 or Hexadecimal encoding. This behavior is indicative of potential data exfiltration or command-and-control communication performed over the DNS protocol by tunneling data within query labels.
This rule detects large HTTP POST requests (greater than 10MB) originating from the internal network to external destinations, which may indicate bulk data exfiltration.
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 traffic patterns characteristic of Emotet malware command and control (C2) beaconing, specifically looking for POST requests with random alphanumeric URIs (4-16 characters) and a specific Accept-Encoding header (gzip, deflate).
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).
Detects network traffic consistent with the default configuration of a Cobalt Strike Malleable C2 Beacon. The rule identifies HTTP GET requests to a '/updates' URI path, accompanied by the specific default User-Agent string 'Mozilla/4.0 (compatible; MSIE 6.0)', which is commonly observed in uncustomized Cobalt Strike deployments.
Detects network activity (DNS queries, TLS SNI, and HTTP requests) directed towards known attacker-controlled command-and-control domains associated with AsyncRAT and ScreenConnect abuse.
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 remote attempts to stop sensitive security, database, and system services using the SMB SVCCTL (Service Control Manager) interface. This is often associated with adversary attempts to disable defensive tools or prepare for destructive operations.
Detects network traffic associated with the Turla group's STOCKSTAY malware, specifically identifying outbound WebSocket upgrade requests directed to the known command-and-control domain weatherdataai.theworkpc.com.
Detects SMTP traffic containing XLSX file attachments, specifically looking for base64 encoded content that matches the criteria for CVE-2025-60727. This rule monitors network traffic for the delivery of potential malicious Office documents.
Detects HTTP response bodies containing common PE/Shellcode magic headers (MZ, PE, or NOP sleds) which are associated with the delivery of payloads designed to exploit or utilize the Windows KernelCallbackTable for process injection. The detection focuses on suspicious content delivered over HTTP connections.
Detects CI/CD package manager traffic (e.g., pip, npm) attempting to connect to domains that mimic legitimate PyPI or npm registry domains. This behavior is indicative of a dependency confusion or supply chain attack where an adversary uses typosquatted or phantom-squatted domains to intercept or redirect package requests.
Detects HTTP requests where the referrer is a major LLM service (e.g., ChatGPT, Claude) but the destination host uses keywords indicative of phantom squatting (e.g., parcel, delivery, login) suggesting an attempt to use LLM-generated content or platforms to facilitate malicious redirects or phishing.
Detects HTTP POST requests to known phishing kit endpoints 'panel_track.php' or 'verify_api.php', which are associated with the Montana Empire credential harvesting campaign.
This rule detects outbound HTTP traffic generated by the WinHTTP library, specifically when the User-Agent identifies as WinHttp.WinHttpRequest. This pattern is indicative of potential post-exploitation activity, such as command-and-control communication or data exfiltration, originating from a process associated with an exploited Excel document (CVE-2025-60727).
Detects SMTP traffic containing XLSX file attachments, specifically looking for base64 encoded content that matches the criteria for CVE-2025-60727. This rule monitors network traffic for the delivery of potential malicious Office documents.
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