Detections

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

2,982 detections

Detects an Owner-role GitLab account or token modifying merge-request approval rules, protected-branch settings, or project membership -- controls that, if weakened, defeat code-review safeguards.
avatar
Arnold Chan@slaz
avatar
Midnight Slayer
2 months ago
000
Detects an Owner-role GitLab account or token modifying merge-request approval rules, protected-branch settings, or project membership -- controls that, if weakened, defeat code-review safeguards.
avatar
Arnold Chan@slaz
avatar
Detection & Hunting Community
2 months ago
000
Detects an Owner-role GitLab account or token modifying merge-request approval rules, protected-branch settings, or project membership -- controls that, if weakened, defeat code-review safeguards.
avatar
Arnold Chan@slaz
avatar
Detections.ai Community
2 months ago
000
Detects the sensitive project-wide CI/CD variable API_TOKEN being exposed to job scopes other than the gitlab-triage automation job that is its only intended consumer, expanding the blast radius of the credential.
avatar
Arnold Chan@slaz
avatar
Midnight Slayer
2 months ago
000
Detects the sensitive project-wide CI/CD variable API_TOKEN being exposed to job scopes other than the gitlab-triage automation job that is its only intended consumer, expanding the blast radius of the credential.
avatar
Arnold Chan@slaz
avatar
Detection & Hunting Community
2 months ago
000
Detects the sensitive project-wide CI/CD variable API_TOKEN being exposed to job scopes other than the gitlab-triage automation job that is its only intended consumer, expanding the blast radius of the credential.
avatar
Arnold Chan@slaz
avatar
Detections.ai Community
2 months ago
000
Detects a single GitLab token/account holding Owner-level access across an unusually large number of projects (50+), the standing-privilege condition that turned one leaked token into a 55-project supply-chain exposure.
avatar
Arnold Chan@slaz
avatar
Detections.ai Community
2 months ago
000
Detects potential Business Email Compromise (BEC) related to 'Phantom Deal' fraud. The rule identifies email threads where a user receives an urgent request for proof of payment (MT103/UETR) within 72 hours of an email discussion involving both wire transfer/payment keywords and M&A/deal context.
avatar
Arnold Chan@slaz
Defender - KQL
2 months ago
000
Detects potential Business Email Compromise (BEC) related to 'Phantom Deal' fraud. The rule identifies email threads where a user receives an urgent request for proof of payment (MT103/UETR) within 72 hours of an email discussion involving both wire transfer/payment keywords and M&A/deal context.
avatar
Arnold Chan@slaz
avatar
Detections.ai Community
2 months ago
000
Detects GitLab CI job shell commands that redirect the environment to a .tmp file, a pattern identified in the GnuTLS GitLab token leak.
avatar
Arnold Chan@slaz
avatar
Midnight Slayer
2 months ago
000
Detects CI/CD job activity referencing shell commands that redirect the entire environment to a file (e.g. 'env > out.tmp'), the exact pattern that caused a GitLab CI job in the openconnect/ocserv project to dump secrets into a public build artifact, leaking a high-privilege personal access token with Owner access to GnuTLS and 55 other critical projects.
avatar
Arnold Chan@slaz
Defender - KQL
2 months ago
000
Detects CI/CD job activity referencing shell commands that redirect the entire environment to a file (e.g. 'env > out.tmp'), the exact pattern that caused a GitLab CI job in the openconnect/ocserv project to dump secrets into a public build artifact, leaking a high-privilege personal access token with Owner access to GnuTLS and 55 other critical projects.
avatar
Arnold Chan@slaz
avatar
Detections.ai Community
2 months ago
000
Detects anomalous access to Microsoft 365 services (OneDrive, SharePoint, Mail) where the user activity is characterized by a high volume of operations (more than 30) across a diverse set of objects (more than 15) within a one-hour window. The detection focuses on activity originating from specific common automation/scripting User-Agents (Microsoft Graph, Python httpx/requests) that deviate from typical, focused service account behavior.
avatar
Arnold Chan@slaz
avatar
Midnight Slayer
2 months ago
101
This rule detects suspicious, high-volume file access or download operations in SharePoint and OneDrive. It filters for activities performed by specific user agents commonly associated with automated scripting tools (e.g., python-requests, Microsoft.Graph.Client), which indicates potential automated exfiltration or unauthorized bulk data collection.
avatar
Arnold Chan@slaz
Defender - KQL
2 months ago
001
Detects unauthenticated execution of sensitive Grafana MCP tools (tools/call, grafana_api_request) by identifying session IDs that lack a corresponding authenticated handshake event. This behavior is indicative of potential session spoofing or abuse of the MCP protocol where an attacker attempts to interact with privileged tools without performing a valid authentication handshake.
avatar
Arnold Chan@slaz
avatar
Detections.ai Community
2 months ago
002
Detects unauthenticated attempts to invoke Grafana API tools via the Model Context Protocol (MCP) by utilizing spoofed Mcp-Session-Id headers while bypassing bearer token authentication requirements. This primarily targets unauthorized access to API functionality on Grafana instances configured with bearer-token authentication (v1.1.0+).
avatar
Arnold Chan@slaz
avatar
Detections.ai Community
2 months ago
002
Detects instances where unauthenticated users or sessions execute privileged 'tools/call' operations within the Grafana MCP dispatcher. This behavior is indicative of potential session spoofing attacks, specifically targeting vulnerabilities similar to CVE-2026-19516, where lack of an Authorization header allows unauthorized access to privileged tool functions.
avatar
Arnold Chan@slaz
avatar
Detection & Hunting Community
2 months ago
002
This rule monitors Office 365 SharePoint file operations and search queries for patterns indicative of automated discovery and exfiltration of sensitive content. It specifically identifies high-frequency search queries involving wildcard parameters used in SharePoint content indexing, which may suggest an adversary is systematically crawling or enumerating organizational documents.
avatar
Ankit Mehta@Secvyn
avatar
Detection & Hunting Community
2 months ago
000
Detects cloud application events originating from suspicious or specific User-Agent strings, including 'python-requests' and identified outdated or potentially spoofed Chrome versions (146, 150, 151.0.0). This behavior often correlates with automated scripts or bot activity interacting with cloud services.
avatar
Ankit Mehta@Secvyn
Defender - KQL
2 months ago
000
Detects cloud application events originating from suspicious or specific User-Agent strings, including 'python-requests' and identified outdated or potentially spoofed Chrome versions (146, 150, 151.0.0). This behavior often correlates with automated scripts or bot activity interacting with cloud services.
avatar
Ankit Mehta@Secvyn
avatar
Hunters
2 months ago
000
This rule monitors Office 365 SharePoint file operations and search queries for patterns indicative of automated discovery and exfiltration of sensitive content. It specifically identifies high-frequency search queries involving wildcard parameters used in SharePoint content indexing, which may suggest an adversary is systematically crawling or enumerating organizational documents.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
2 months ago
000
Page 83 of 142