Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

599 detections

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.
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Arnold Chan@slaz
Defender - KQL
2 months ago
000
Detects SSRF attempts targeting cloud metadata endpoints or internal/private network addresses.
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Anmol Vats@jerry
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Detection Engineers
2 months ago
002
Detects C2Looper v1 malware communication patterns, specifically plaintext HTTP beaconing to /api/beacon or /api/result endpoints with characteristic JSON body fields (id, user, host, pid, cmd, arg, seq), as well as direct network connections to known C2Looper command-and-control infrastructure on TCP port 8888.
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Emiliano Mema@Nosalva
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Detections.ai Community
2 months ago
003
Detects shell metacharacters combined with common OS commands in the request URI.
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Anmol Vats@jerry
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Detection Engineers
2 months ago
001
Detects suspicious sub processes of web server processes
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 months ago
6014
Detects the creation of .php files within the wp-content/uploads directory tree by common web server or PHP-FPM processes. This behavior is indicative of an adversary attempting to drop a web shell via file upload bypass vulnerabilities, such as those exploiting MIME-type manipulation.
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Ethan Andrews@eandrews
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Federal Signal Detections
2 months ago
519
This rule detects potential webshell activity by monitoring the correlation between web server processes spawning suspicious child processes (e.g., cmd.exe, powershell.exe, rundll32.exe) and the creation of executable or script files within identified web directories. The logic establishes a high-confidence correlation when both events occur on the same device within a 15-minute window, while also surfacing uncorrelated individual process spawns or suspicious file writes as lower-confidence indicators. It includes exclusions for known administrative and deployment processes to reduce noise.
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Montaser Ismail@M0nt3x
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Detections.ai Community
3 months ago
7014
Detects the creation of executable script files (PHP, ASP, ASPX, JSP) by web server worker processes (e.g., httpd, nginx, w3wp.exe, php-fpm). This behavior is strongly indicative of the final stage of a web exploitation workflow where an attacker writes a web shell to the server to establish persistence or remote command execution capabilities.
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Ethan Andrews@eandrews
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Federal Signal Detections
3 months ago
6024
This rule monitors for a sequence of suspicious discovery commands (e.g., whoami, net, ipconfig) executed by web server processes (IIS w3wp.exe, Apache httpd, Nginx, or Tomcat). By requiring a threshold of at least three distinct discovery tools being executed by the same process within a 24-hour period, the rule identifies potential post-exploitation reconnaissance activity following a web server compromise.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
3 months ago
104
Detects incoming web requests (via URI queries or form data) containing common OS command injection characters, shell metacharacters, or command execution patterns indicative of attempts to execute unauthorized commands on the underlying web server.
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Kareem Dadu@Kareem
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Detections.ai Community
3 months ago
7240
This rule monitors web server access logs for common attack patterns, including SQL injection, Cross-Site Scripting (XSS), Path Traversal/LFI, Remote File Inclusion (RFI), potential JNDI-based RCE (e.g., Log4Shell patterns), web shell activity, and sensitive endpoint discovery or enumeration (specifically targeting WordPress/CMS).
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Kareem Dadu@Kareem
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Detections.ai Community
3 months ago
8231
This rule monitors for a sequence of suspicious discovery commands (e.g., whoami, net, ipconfig) executed by web server processes (IIS w3wp.exe, Apache httpd, Nginx, or Tomcat). By requiring a threshold of at least three distinct discovery tools being executed by the same process within a 24-hour period, the rule identifies potential post-exploitation reconnaissance activity following a web server compromise.
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Ankit Mehta@Secvyn
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Detections.ai Community
3 months ago
603
Detects an nginx HTTP Server response header containing a version number identified as vulnerable to CVE-2026-42533 (specifically 0.9.6 through 1.30.3, or 1.31.0 through 1.31.2). This rule identifies potentially exposed or unpatched infrastructure that may be susceptible to exploitation.
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Georgios Maragos@Gmarak
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Detections.ai Community
3 months ago
6028
Detects repeated Nginx worker process crashes terminated by signals 6 (SIGABRT) or 11 (SIGSEGV) accompanied by core dumps. High-frequency crashes originating from a single source are indicative of an adversary brute-forcing ASLR in preparation for exploitation of memory corruption vulnerabilities (e.g., buffer overflows or heap clobbering) to achieve remote code execution.
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Georgios Maragos@Gmarak
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Detections.ai Community
3 months ago
3120
Detects instances where an nginx worker process spawns a shell interpreter, such as sh or bash. This behavior is highly irregular for a web server and is often indicative of exploitation of a remote code execution vulnerability, such as the referenced CVE-2026-42533.
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Georgios Maragos@Gmarak
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Detections.ai Community
3 months ago
1020
This rule detects the use of the Windows utility 'certutil.exe' to download external files, executed from the context of common web server or application processes (e.g., w3wp.exe, nginx.exe). This pattern is a common technique used by attackers to stage malicious payloads or tools in publicly accessible or temporary directories after initial web-based compromise.
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Ankit Mehta@Secvyn
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Detections.ai Community
3 months ago
312
This rule detects the use of the Windows utility 'certutil.exe' to download external files, executed from the context of common web server or application processes (e.g., w3wp.exe, nginx.exe). This pattern is a common technique used by attackers to stage malicious payloads or tools in publicly accessible or temporary directories after initial web-based compromise.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
3 months ago
101
Detects potential SQL injection attempts targeting the WordPress REST API batch endpoint (/wp-json/batch/v1) specifically attempting to query the wp_users table for credential fields such as user_pass or user_login.
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Georgios Maragos@Gmarak
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Detections.ai Community
3 months ago
17079
This rule detects proxy requests directed to the legitimate Microsoft OAuth 2.0 device authorization endpoint (/common/oauth2/deviceauth). This activity is indicative of OAuth device code phishing, where a user is tricked into entering a malicious or attacker-provided device code into the legitimate Microsoft device login page to complete an authentication flow and grant unauthorized access to an attacker-controlled application.
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Duo Tech@duotech
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Detections.ai Community
3 months ago
8027
Detects malicious SQL injection attempts targeting WordPress REST API endpoints that attempt to forge post parameters by injecting self-referential cycles. The pattern specifically looks for 'UNION SELECT' combined with 'author_exclude' and manipulated 'post_parent' values, matching known exploitation patterns for the wp2shell vulnerability (CVE-2026-63030 / CVE-2026-60137).
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Duo Tech@duotech
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Detections.ai Community
3 months ago
1014
Detects malicious SQL injection attempts targeting WordPress REST API endpoints that attempt to forge post parameters by injecting self-referential cycles. The pattern specifically looks for 'UNION SELECT' combined with 'author_exclude' and manipulated 'post_parent' values, matching known exploitation patterns for the wp2shell vulnerability (CVE-2026-63030 / CVE-2026-60137).
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Duo Tech@duotech
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Detections.ai Community
3 months ago
2011
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