Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
296 detections
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Detects the creation of processes where the command line contains keywords such as 'cve' or 'vulnerability'. This could indicate attempts to exploit known vulnerabilities, perform vulnerability research, or execute tools related to vulnerability assessment.
Detects anomalous outbound network connections initiated by media server processes (Jellyfin, FFmpeg, or Nextcloud) immediately following an inbound video file upload (AVI) to the media server's API, indicative of post-exploitation activity related to the PixelSmash (CVE-2026-8461) heap out-of-bounds write vulnerability.
Detects exploitation attempts of the Zerologon (CVE-2020-1472) vulnerability using Impacket tools. The rule monitors for unauthorized machine account password resets via Netlogon, execution of common exploitation scripts like zerologon_tester.py or secretsdump.py, and suspicious NTLM anonymous authentication patterns often associated with the exploit.
Detects an unauthenticated WebSocket or Socket.IO handshake attempt targeting the Peyara Remote Mouse service on TCP port 1313. This behavior is associated with the exploitation of known remote code execution vulnerabilities in the service.
Detects exploitation attempts against Gitea instances where an attacker impersonates an admin user by injecting the 'X-WEBAUTH-USER' header. This vulnerability typically occurs when 'REVERSE_PROXY_TRUSTED_PROXIES' is misconfigured to trust all proxies ('*'), allowing unauthenticated users to gain administrative access via header manipulation. The rule covers web request headers, container logs for suspicious admin creation, and process execution arguments associated with the exploitation.
This rule detects when an Nginx web server proxies HTTP POST requests to FastCGI backends located on internal network subnets (RFC1918) or local unix sockets. Such behavior often indicates exploitation attempts targeting internal FastCGI interfaces, which should typically not be reachable directly from the internet-facing web server.
This rule detects macOS 'sharingd' or 'Foundation' service crashes (stack overflow, recursion limit exceeded, or EXC_BAD_ACCESS) that occur during the processing of plist files. This behavior is indicative of potential memory corruption exploits targeting vulnerabilities in Apple's plist parsing logic, potentially exploited via AirDrop.
Detects path traversal attempts in web server access logs by searching for dot-dot-slash (../), dot-dot-backslash (..\), or their URL-encoded equivalents (..). These patterns are indicative of efforts to access files or directories outside the intended web root.
This rule detects HTTP directory traversal attempts by inspecting incoming URI requests for common path traversal sequences such as '../', '..%2F', '..%2f', '..%5C', or '..%5c'. Attackers use these sequences to escape the web root directory and access unauthorized files on the server.
Detects network traffic indicative of the EternalBlue (MS17-010) exploit attempt against SMBv1 services. The rule specifically looks for SMB packets with transaction command patterns associated with this exploit, which was commonly used by the WannaCry ransomware.
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 network traffic over the Telnet protocol (TCP port 23) for patterns indicative of Mirai botnet propagation. It identifies sequences of characters commonly used in Mirai brute-force attempts to guess default credentials (e.g., 'admin' followed by 'password'). The rule utilizes a threshold-based detection filter to trigger only when multiple such attempts are observed from a single source within a 60-second window, helping to filter out individual noise and focus on active scanning behavior.
This rule detects HTTP directory traversal attempts by inspecting incoming URI requests for common path traversal sequences such as '../', '..%2F', '..%2f', '..%5C', or '..%5c'. Attackers use these sequences to escape the web root directory and access unauthorized files on the server.
Detects potential exploitation of the Zerologon vulnerability (CVE-2020-1472) by identifying a high volume of Netlogon authentication requests followed by a successful login by a Domain Admin, indicating a machine account password reset attack.
Detects Zerologon exploitation attempts against domain controllers by monitoring for anomalous machine account password resets, execution of known exploitation tooling (e.g., zerologon_tester, secretsdump), and patterns of rapid Netlogon zero-credential authentication failures.
Detects the execution or presence of identified exploit harness binaries and scripts associated with CVE-2026-55200, an RCE vulnerability in libssh2. The rule monitors process launches for specific filenames and command-line arguments indicative of proof-of-concept or exploitation tooling from the 'exploitarium' repository.
Detects execution of tools and scripts known for exploiting the Zerologon (CVE-2020-1472) vulnerability, including zerologon_tester.py, zerologon.py, and Impacket-based Netlogon authentication abuse. The rule monitors command-line activity for these indicators, excluding processes signed by Microsoft.
Detects the creation of processes where the command line contains keywords such as 'cve' or 'vulnerability'. This could indicate attempts to exploit known vulnerabilities, perform vulnerability research, or execute tools related to vulnerability assessment.
This rule detects potential exploitation attempts against ServiceNow instances by monitoring network and DNS activity involving a known malicious IP address (51.159.98.241). It identifies high-volume connections or DNS requests related to service-now.com associated with this IP, which may indicate an attacker attempting to leverage unauthenticated Scripted REST resources.
This rule monitors network traffic over the Telnet protocol (TCP port 23) for patterns indicative of Mirai botnet propagation. It identifies sequences of characters commonly used in Mirai brute-force attempts to guess default credentials (e.g., 'admin' followed by 'password'). The rule utilizes a threshold-based detection filter to trigger only when multiple such attempts are observed from a single source within a 60-second window, helping to filter out individual noise and focus on active scanning behavior.
This rule detects attempts to perform directory traversal attacks by monitoring incoming HTTP requests for repetitive directory navigation sequences (e.g., ../, .., %2F, %5C). Such sequences are often used to bypass security controls and access unauthorized files or directories on the web server.
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