Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
118 detections
Filters
Last updated
All Time
Detection languages
117
1
Contributors
52
30
22
5
3
Categories
98
67
61
26
22
Platforms
102
27
19
6
6
Products / Services
113
102
14
3
2
MITRE Techniques
67
39
37
29
28
CVEs
4
4
3
2
1
IDS Classtypes
1,937
503
461
381
236
118
IDS Protocols
64
44
4
2
2
This rule detects DNS queries and TLS SNI traffic directed towards identified phishing or malicious domains that mimic Passkey, Single Sign-On (SSO), or help desk authentication portals. These domains are commonly used by attackers for credential harvesting or adversary-in-the-middle (AiTM) phishing attacks targeting organizational authentication services.
Detects incoming HTTP requests to sensitive LiteLLM endpoints (/mcp and /guardrails) which are typically intended for internal or controlled use. Exposing these to the public internet may allow unauthorized individuals to interact with, enumerate, or exploit the LiteLLM framework's capabilities.
Detects repeated suspicious network requests, including non-standard HTTP methods and URI structures, as well as TLS SNI anomalies, targeting the internal sales portal 'agent.3bb.co.th'. The rule triggers when a threshold of 20 requests within a 60-second window is reached from a single source, indicating likely automated reconnaissance or vulnerability scanning activity.
Detects repeated suspicious network requests, including non-standard HTTP methods and URI structures, as well as TLS SNI anomalies, targeting the internal sales portal 'agent.3bb.co.th'. The rule triggers when a threshold of 20 requests within a 60-second window is reached from a single source, indicating likely automated reconnaissance or vulnerability scanning activity.
Detects repeated suspicious network requests, including non-standard HTTP methods and URI structures, as well as TLS SNI anomalies, targeting the internal sales portal 'agent.3bb.co.th'. The rule triggers when a threshold of 20 requests within a 60-second window is reached from a single source, indicating likely automated reconnaissance or vulnerability scanning activity.
Detects high-frequency connection attempts to PPTP (1723) and L2TP (1701) VPN ports from an external source, indicative of automated scanning or vulnerability discovery activity.
This rule detects high-frequency TCP SYN connection attempts originating from external networks targeting common administrative or tunneling ports (1723/PPTP, 1701/L2TP, 22/SSH) on internal systems. The detection uses a threshold of 100 connection attempts within 120 seconds, which is characteristic of automated reconnaissance and network scanning behavior.
This rule detects high-frequency TCP SYN connection attempts originating from external networks targeting common administrative or tunneling ports (1723/PPTP, 1701/L2TP, 22/SSH) on internal systems. The detection uses a threshold of 100 connection attempts within 120 seconds, which is characteristic of automated reconnaissance and network scanning behavior.
This rule detects inbound HTTP requests targeting a Vite development server that attempt to access the '.env' configuration file via the '//@fs/' path, which is a known technique for sensitive file exposure in misconfigured Vite environments.
This rule detects inbound HTTP requests targeting a Vite development server that attempt to access the '.env' configuration file via the '//@fs/' path, which is a known technique for sensitive file exposure in misconfigured Vite environments.
This rule detects inbound HTTP requests targeting a Vite development server that attempt to access the '.env' configuration file via the '//@fs/' path, which is a known technique for sensitive file exposure in misconfigured Vite environments.
Detects high-volume bursts of HTTP GET requests against specific paths associated with a Vite development server (/@vite/client, /@fs/, /src/) on port 5173. This pattern is indicative of automated reconnaissance or vulnerability scanning targeting an exposed development environment.
Detects attempts to bypass AWS IMDSv2 security protections via the LiteLLM /config/pass_through_endpoint, where attackers inject the 'x-pass-X-aws-ec2-metadata-token' header to potentially strip authentication requirements.
Detects attempts to bypass AWS IMDSv2 security protections via the LiteLLM /config/pass_through_endpoint, where attackers inject the 'x-pass-X-aws-ec2-metadata-token' header to potentially strip authentication requirements.
Detects incoming HTTP requests to sensitive LiteLLM endpoints (/mcp and /guardrails) which are typically intended for internal or controlled use. Exposing these to the public internet may allow unauthorized individuals to interact with, enumerate, or exploit the LiteLLM framework's capabilities.
Detects high-frequency TCP/445 connection attempts (a 'connect sweep') characteristic of automated SMB share enumeration, which is commonly used for lateral movement reconnaissance. The rule triggers when a threshold of 40 connection requests occurs from a single source within a 30-second window, specifically targeting SMB-related lateral movement behaviors.
This rule detects attempts to exploit the LiteLLM proxy pass-through endpoint to interact with the cloud Instance Metadata Service (IMDS). Specifically, it identifies configuration attempts to route traffic to the IMDS IP (169.254.169.254) and subsequent requests to retrieve IAM security credentials, which is indicative of a Server-Side Request Forgery (SSRF) attack to steal cloud identity tokens.
Detects unauthorized exploitation attempts against the LiteLLM Model Context Protocol (MCP) endpoint. The rule monitors for a specific malformed Authorization header pattern (short, non-standard token) associated with CVE-2026-59822, indicating potential vulnerability scanning or exploitation of the service.
Detects unauthorized exploitation attempts against the LiteLLM Model Context Protocol (MCP) endpoint. The rule monitors for a specific malformed Authorization header pattern (short, non-standard token) associated with CVE-2026-59822, indicating potential vulnerability scanning or exploitation of the service.
Detects incoming HTTP requests to sensitive LiteLLM endpoints (/mcp and /guardrails) which are typically intended for internal or controlled use. Exposing these to the public internet may allow unauthorized individuals to interact with, enumerate, or exploit the LiteLLM framework's capabilities.
Detects network-based exploitation attempts against Dahua Easy4IP P2P relay infrastructure, including reconnaissance probes, unauthorized relay usage, and credential theft attempts via WSSE authentication.
Page 4 of 6