Detections

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

2,431 detections

Detects anomalous outbound HTTP requests to the Google OAuth token endpoint that mimic the behavior of the JSCeal malware. The rule identifies requests that lack standard browser-based User-Agent strings and omit the 'code_verifier' parameter, which is typically required in legitimate PKCE-enabled OAuth flows, indicating potential automated token theft.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
005
This rule detects multiple instances of HTTP double-encoded URIs from a single source within a 60-second window. Attackers often use double encoding to bypass security filters, WAFs, or input validation mechanisms that only perform a single decoding pass. This behavior is indicative of attempted exploitation, evasion, or directory traversal attacks.
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Ali AlEnezi@site
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Detections.ai Community
2 months ago
000
Detects HTTP POST requests to a Gitea repository's diffpatch API endpoint whose body contains both a real git diff header and the malicious 'hooks/post-index-change' file path used by the CVE-2026-60004 exploit chain to plant an executable Git hook via an add/add merge collision.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
000
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.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
001
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.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
001
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.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
001
Detects a multi-stage authentication bypass attempt against LiteLLM MCP endpoints. The rule tracks an initial malformed Authorization Bearer token request to the /mcp/ endpoint, followed by a server response returning a 200 OK status code accompanied by an 'mcp-session-id' header, confirming the exploitation of CVE-2026-59822.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
001
Detects a multi-stage authentication bypass attempt against LiteLLM MCP endpoints. The rule tracks an initial malformed Authorization Bearer token request to the /mcp/ endpoint, followed by a server response returning a 200 OK status code accompanied by an 'mcp-session-id' header, confirming the exploitation of CVE-2026-59822.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
001
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.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
101
Detects anomalous HTTP POST requests to the Keycloak '/login-actions/reset-credentials' endpoint that lack required action tokens (e.g., 'key=' or 'execution=' parameters). This behavior is indicative of an exploitation attempt targeting CVE-2026-18963, potentially aimed at bypassing authentication or triggering unauthorized credential reset flows.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
109
Detects potential exfiltration activity by identifying HTTP POST/PUT requests to known suspicious domains, including specific operator-controlled hosts and anonymous file sharing services, as well as the use of HTTP Range headers for bulk API data exfiltration.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
001
Detects indicators of cross-site scripting (XSS) attacks aimed at stealing web session cookies. The rule covers the injection of malicious scripts into client responses, anomalous CORS preflight responses that could facilitate data exfiltration, and subsequent HTTP callbacks or beaconing containing cookie data to external endpoints.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
001
Detects specific DNS-over-HTTPS (DoH) requests made to Google resolvers containing suspicious domain patterns associated with potential C2 infrastructure (QuietRacket). This includes both the identification of the DoH API call for a specific TXT record and the preceding TLS session initiation to the DoH provider.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
002
Detects path traversal attempts against a Vite development server by monitoring for various forms of URI encoding (single/double) and suspicious path patterns (e.g., /etc/passwd, .env, .git/config, /@fs/). The rule tracks these attempts using flowbits and alerts when a successful HTTP 200 response is received after a matching traversal request.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
000
Detects path traversal attempts against a Vite development server by monitoring for various forms of URI encoding (single/double) and suspicious path patterns (e.g., /etc/passwd, .env, .git/config, /@fs/). The rule tracks these attempts using flowbits and alerts when a successful HTTP 200 response is received after a matching traversal request.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
000
Detects attempts to access sensitive files like environment variables (.env), cloud provider credentials (AWS/Azure), or Terraform state files via a web server interface, specifically targeting Vite development server deployments.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
000
Detects attempts to access sensitive files like environment variables (.env), cloud provider credentials (AWS/Azure), or Terraform state files via a web server interface, specifically targeting Vite development server deployments.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
000
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.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
000
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.
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Arnold Chan@slaz
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Hunters
2 months ago
000
This rule detects attempted exploitation of Adobe Commerce (Magento) via GraphQL, specifically targeting Template Property Poisoning through malicious 'styles' array injection as observed in the StyleSmuggler campaign (CVE-2025-54236).
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
006
Detects inbound HTTP POST requests to the /paypal/transparent/response/ endpoint containing encoded PHP webshell payloads, specifically attempting to execute base64-decoded code via eval.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
106
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