Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects automated reconnaissance and enumeration of sensitive web application paths (admin, config, environment files, etc.) from a single source IP. The rule identifies high-frequency request patterns that target specific non-public surface areas while excluding known search engine crawlers and monitoring bots.
Detects automated reconnaissance and enumeration of sensitive web application paths (admin, config, environment files, etc.) from a single source IP. The rule identifies high-frequency request patterns that target specific non-public surface areas while excluding known search engine crawlers and monitoring bots.
This rule detects potential malicious activity related to the 'gh-token-monitor' toolkit by aggregating suspicious signals across file, process, and network data sources on an individual host. It looks for the presence of specific configuration files or scripts, execution of commands associated with the toolkit or setup processes, and network connections to known command-and-control domains or IP addresses. A host is flagged if it exhibits two or more of these distinct signal categories, suggesting a high-confidence indicator of compromise.
Detects anomalous, high-volume unauthenticated POST requests to the Elementor Pro 'admin-ajax.php' endpoint with the 'elementor_pro_forms_send_form' action. This behavior is indicative of potential exploitation attempts or reconnaissance associated with the Elementor Pro file upload vulnerability (CVE-2026-32475).
Detects instances where base64-encoded PHP code, obfuscated behind a 'data:image/gif;base64' MIME type prefix, is written to the disk as a .php file or initiated by web server processes. This pattern is commonly used in file upload bypass attacks to execute arbitrary code.
Detects the presence of small PHP files containing both PHP execution tags and path traversal sequences. This pattern is indicative of a web shell or malicious script placed outside of intended directories via path traversal exploitation.
Detects potential remote code execution (RCE) attempts targeting vulnerable Sub-Store instances (versions < 2.38.2). The detection identifies web browsers making network connections to local ports (38324) associated with Sub-Store, followed by the spawning of shell processes (cmd, powershell, bash, sh) by the Node.js process hosting the application.
Detects potential remote code execution (RCE) attempts targeting vulnerable Sub-Store instances (versions < 2.38.2). The detection identifies web browsers making network connections to local ports (38324) associated with Sub-Store, followed by the spawning of shell processes (cmd, powershell, bash, sh) by the Node.js process hosting the application.
Detects instances where base64-encoded PHP code, obfuscated behind a 'data:image/gif;base64' MIME type prefix, is written to the disk as a .php file or initiated by web server processes. This pattern is commonly used in file upload bypass attacks to execute arbitrary code.
Detects the creation of a WordPress administrator account within one hour of a recorded web request to a known web shell path (Mushr00w) or suspect plugin upload directory. This correlation is a high-fidelity indicator of post-exploitation persistence and administrative account hijacking.
This rule detects potentially unauthorized access or attempts to copy sensitive SSH keys (e.g., id_rsa, id_ed25519) by command-line utilities (such as cat, cp, tar, scp, or curl) or when triggered by automation-related process names like 'terraform'. It monitors both process command lines and file events to identify staging or exfiltration activities.
Detects instances where common web server applications (e.g., Apache, Tomcat, IIS, Nginx) or Java runtime environments spawn suspicious child processes like command shells (cmd.exe, powershell.exe, sh, bash) or network utilities (wget, curl). This behavior often indicates exploitation of a web vulnerability, such as Remote Code Execution (RCE), allowing an adversary to execute commands or download further malicious payloads.
Detects network connections to known suspicious infrastructure, including specific domains associated with Session, catbox.moe, or targeted npm registry and GitHub API queries initiated by common command-line utilities. This behavior often suggests adversary communication, data staging, or potential tool/malware delivery.
Detects JNDI lookup patterns associated with Log4Shell (CVE-2021-44228) exploitation attempts.
Detects the creation of a WordPress administrator account within one hour of a recorded web request to a known web shell path (Mushr00w) or suspect plugin upload directory. This correlation is a high-fidelity indicator of post-exploitation persistence and administrative account hijacking.
Detects instances where common web server applications (e.g., Apache, Tomcat, IIS, Nginx) or Java runtime environments spawn suspicious child processes like command shells (cmd.exe, powershell.exe, sh, bash) or network utilities (wget, curl). This behavior often indicates exploitation of a web vulnerability, such as Remote Code Execution (RCE), allowing an adversary to execute commands or download further malicious payloads.
Detects anomalous child process execution (e.g., cmd.exe, powershell.exe, whoami) by PaperCut application processes (java.exe, pc-app.exe, PCClient.exe), which is indicative of post-exploitation activity following an authentication bypass and remote code execution chain against PaperCut NG/MF.
Detects potential ClickFix-style attacks on macOS where a user visits a suspected malicious lure page (hosted on sites.google.com) and shortly after executes a specific malicious command pattern (related to OpenAI Codex installer) in a terminal shell within 15 minutes.
Detects unauthenticated requests to the WordPress admin-ajax.php endpoint utilizing the 'super_create_nonce' action. This action allows an unauthenticated user to generate a valid session nonce, which is a critical bypass mechanism often required for the exploitation of vulnerabilities within the Super Forms plugin, such as CVE-2026-14894.
This rule monitors web server logs (IIS, W3C, and Azure Application Gateway) for incoming traffic that matches known malicious or automated vulnerability scanners, as well as requests for common system fingerprinting paths (such as /server-status or /.git/config). The rule aggregates these hits by source IP address to identify potential active reconnaissance or vulnerability scanning attempts.
This rule monitors for web server exploit attempts (indicated by patterns like JNDI lookups or SQL injection sequences in URI/cookie data) that correlate with a surge in server-side errors (400+ status codes) and subsequent anomalous process creation or outbound network connections from the web server process.
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