Detections

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

2,132 detections

Detects signs of exploitation against FortiOS/FortiProxy authentication bypass vulnerabilities (CVE-2024-55591 / CVE-2025-24472) consistent with Gunra ransomware activity. This rule monitors for administrative logins originating from non-management public IP addresses and identifies potential MFA bypass attempts through the reuse of identical one-time passcodes across multiple distinct accounts or sessions within a one-hour window.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
3 months ago
629
This rule monitors DeviceEvents for the presence of the 'Runtime.addBinding' JavaScript interface within process creation or network inspection logs. This pattern is commonly associated with WebView-based applications exposing internal browser-side objects to the web content, which can potentially be exploited for remote code execution or cross-site scripting (XSS) if not implemented with strict security constraints.
avatar
Emiliano Mema@Nosalva
avatar
Detections.ai Community
2 months ago
000
This rule detects suspicious process execution chains where common web application servers (gunicorn, uwsgi, celery) spawn command-line utilities (bash, sh, curl, wget, python3) containing strings indicative of Python object inspection or class pollution. This pattern is commonly associated with attempts to exploit server-side vulnerabilities for remote code execution or post-exploitation activities.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
3 months ago
403
This rule detects attempts to access cloud instance metadata services (specifically Google Cloud's metadata service) initiated by processes commonly associated with Adobe Campaign Classic (nlserver or w3wp.exe). Such requests are often indicative of Server-Side Request Forgery (SSRF) attempts, where an attacker leverages an application-level vulnerability to probe internal cloud infrastructure for sensitive data or credentials.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
3 months ago
15025
This query identifies creation/loading of SysExcSvc.dll and SysReadSvc.dll along with suspicious LSASS memory dumping, reverse SSH tunnel creation.
These patterns are prevalent with "Phantom" including unusual OneDrive or Microsoft Graph access from LOLBins or unexpected processes.
avatar
Syed Usfar Wasim@nCD24
avatar
Detections.ai Community
3 months ago
006
This KQL detects attack used TCP port 4307 for unauthenticated access and replaced public\js\locale.php with a web shell that provided persistent remote access.
avatar
Syed Usfar Wasim@nCD24
avatar
Detections.ai Community
3 months ago
305
This rule detects suspicious process execution chains where common web application servers (gunicorn, uwsgi, celery) spawn command-line utilities (bash, sh, curl, wget, python3) containing strings indicative of Python object inspection or class pollution. This pattern is commonly associated with attempts to exploit server-side vulnerabilities for remote code execution or post-exploitation activities.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
3 months ago
002
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.
avatar
Ethan Andrews@eandrews
avatar
Federal Signal Detections
3 months ago
6024
Detects unauthorized remote access sessions within N-able N-central by monitoring the Windows Application log for events indicating usage of the default 'MSP Support' account or source IP addresses associated with active exploitation of CVE-2026-18577.
avatar
Arnold Chan@slaz
avatar
Detections.ai Community
3 months ago
1016
KQL Query
avatar
Montaser Ismail@M0nt3x
avatar
Detections.ai Community
3 months ago
6013
This rule detects attempts to access cloud instance metadata services (specifically Google Cloud's metadata service) initiated by processes commonly associated with Adobe Campaign Classic (nlserver or w3wp.exe). Such requests are often indicative of Server-Side Request Forgery (SSRF) attempts, where an attacker leverages an application-level vulnerability to probe internal cloud infrastructure for sensitive data or credentials.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
3 months ago
519
No description available.
avatar
Arnold Chan@slaz
avatar
Detections.ai Community
3 months ago
6013
This rule monitors for Microsoft IIS worker processes (w3wp.exe) initiating common command-line shells or scripting engines. This behavior is indicative of successful remote code execution exploitation against internet-facing web applications, such as SharePoint or Telerik UI, often via deserialization vulnerabilities.
avatar
Ethan Andrews@eandrews
avatar
Federal Signal Detections
3 months ago
8013
Detects malicious script execution triggered by the CVE-2026-42897 XSS vulnerability in Outlook Web Access (OWA). The detection rule monitors AMSI script detection events for patterns associated with the OWAReaper exploit chain, which utilizes an 'onload=eval(atob())' loader to reconstruct a base64-encoded payload embedded in social-icon image tags within a browser session.
avatar
Ethan Andrews@eandrews
avatar
Federal Signal Detections
3 months ago
35056
Threat actors are exploiting the recently Discovered WordPress Vulnerability. Vulnerability Management platform like defender not fully capable of identifying the vulnerable WordPress Core Application being installed on the organizations Servers. If you are using Defender XDR, here's the KQL to hunt for WordPress Installed Linux and Windows Servers.
avatar
Subash Ghimire@iamsubashg
avatar
Detections.ai Community
3 months ago
8020
Detects the delivery of a malicious SVG data-URI payload targeting the CVE-2026-42897 vulnerability in Outlook Web Access (OWA). This exploit uses a base64-encoded SVG image embedded in an email body, which triggers an onload JavaScript handler when rendered by OWA, leading to potential code execution within the mailbox context.
avatar
Ethan Andrews@eandrews
avatar
Federal Signal Detections
3 months ago
36036
Detects a successful FortiCloud SSO administrative login to a Fortinet appliance followed by the creation of a local administrator account from the same source IP and user within 15 minutes.

The query uses Fortinet CEF events available in CommonSecurityLog and correlates the appliance, administrative user, and source IP to reduce unrelated administrative activity. This behavior is associated with post-exploitation activity observed for CVE-2026-24858.

Bu sorgudaki temel saldırı zinciri, Microsoft Azure-Sentinel deposundaki
"CVE Exploitation Indicators on Network Appliance (3P)" hunting sorgusunda
bulunan FortiCloud SSO oturumu ile admin hesabı oluşturma korelasyonundan
esinlenilerek hazırlanmıştır.
avatar
yasemin barutcu@yasemin
avatar
SlimKQL 2026
3 months ago
11068
This rule monitors for suspicious activity by detecting two distinct patterns: first, network connections initiated by Java processes located in tomcat/catalina directories on high-risk ports; second, suspicious administrative audit actions (Add admin, Modify credential, Export device list) within N-central where the initiating user context is missing.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
3 months ago
103
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.
avatar
Kareem Dadu@Kareem
avatar
Detections.ai Community
3 months ago
7240
Detects HTTP POST requests to an Apache Tomcat server containing a Java serialized-object header (AC ED 00 05) in a request body larger than 512 bytes, consistent with CVE-2026-34486 deserialization exploitation.
avatar
Duo Tech@duotech
avatar
Detections.ai Community
3 months ago
2019
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).
avatar
Kareem Dadu@Kareem
avatar
Detections.ai Community
3 months ago
8231
Page 47 of 102