Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
90 detections
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This rule detects potential Server-Side Request Forgery (SSRF) activity where web application or runtime processes attempt to access the Cloud Instance Metadata Service (IMDS) or container task metadata endpoints. By monitoring network connections and application logs, the rule filters out known legitimate metadata clients and identifies suspicious processes frequently associated with web-based vulnerabilities that are repeatedly querying sensitive metadata paths.
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.
This rule detects potential Server-Side Request Forgery (SSRF) activity where web application or runtime processes attempt to access the Cloud Instance Metadata Service (IMDS) or container task metadata endpoints. By monitoring network connections and application logs, the rule filters out known legitimate metadata clients and identifies suspicious processes frequently associated with web-based vulnerabilities that are repeatedly querying sensitive metadata paths.
Detects Server-Side Request Forgery (SSRF) attempts targeting vulnerable versions of Grafana MCP Server (versions < 1.1.0). The rule identifies requests attempting to access sensitive internal or cloud-metadata endpoints (e.g., 169.254.169.254, localhost, internal subnets) via the X-Grafana-URL header.
Detects Server-Side Request Forgery (SSRF) attempts targeting vulnerable versions of Grafana MCP Server (versions < 1.1.0). The rule identifies requests attempting to access sensitive internal or cloud-metadata endpoints (e.g., 169.254.169.254, localhost, internal subnets) via the X-Grafana-URL header.
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 Server-Side Request Forgery (SSRF) attempts targeting an MLflow server where an attacker-controlled HTTP redirect response forces the server to reach out to the cloud instance metadata service at 169.254.169.254. This rule specifically looks for HTTP 30x redirect status codes where the Location header contains the sensitive metadata service IP address.
Detects Server-Side Request Forgery (SSRF) attempts targeting an MLflow server where an attacker-controlled HTTP redirect response forces the server to reach out to the cloud instance metadata service at 169.254.169.254. This rule specifically looks for HTTP 30x redirect status codes where the Location header contains the sensitive metadata service IP address.
Detects Server-Side Request Forgery (SSRF) attempts against Grafana instances using the 'X-Grafana-URL' header. The rule identifies requests attempting to access internal network ranges, link-local addresses, or cloud metadata endpoints (e.g., 169.254.169.254, localhost) via the Grafana MCP interface, particularly when non-GET HTTP methods are used to potentially mutate internal resources.
Detects Server-Side Request Forgery (SSRF) attempts targeting vulnerable versions of Grafana MCP Server (versions < 1.1.0). The rule identifies requests attempting to access sensitive internal or cloud-metadata endpoints (e.g., 169.254.169.254, localhost, internal subnets) via the X-Grafana-URL header.
Detects Server-Side Request Forgery (SSRF) attempts against Grafana instances using the 'X-Grafana-URL' header. The rule identifies requests attempting to access internal network ranges, link-local addresses, or cloud metadata endpoints (e.g., 169.254.169.254, localhost) via the Grafana MCP interface, particularly when non-GET HTTP methods are used to potentially mutate internal resources.
Detects Server-Side Request Forgery (SSRF) attempts targeting vulnerable versions of Grafana MCP Server (versions < 1.1.0). The rule identifies requests attempting to access sensitive internal or cloud-metadata endpoints (e.g., 169.254.169.254, localhost, internal subnets) via the X-Grafana-URL header.
Detects Server-Side Request Forgery (SSRF) attempts originating from the Grafana MCP (Model Context Protocol) process. The rule specifically monitors for instances where the 'grafana_api_request' tool is used in conjunction with a 'X-Grafana-URL' header targeting cloud metadata IP ranges (169.254.0.0/16), or where the host attempts to resolve GCP metadata domains ('metadata.google.internal'). This behavior is indicative of an attacker attempting to access cloud provider instance metadata to exfiltrate security credentials.
Detects Server-Side Request Forgery (SSRF) attempts targeting vulnerable versions of Grafana MCP Server (versions < 1.1.0). The rule identifies requests attempting to access sensitive internal or cloud-metadata endpoints (e.g., 169.254.169.254, localhost, internal subnets) via the X-Grafana-URL header.
This rule detects suspicious outbound network connections from common container runtime processes (e.g., containerd.exe, dockerd.exe) to well-known cloud instance metadata services (169.254.169.254, 100.100.100.200) or suspicious attempts to access container image manifests, which are indicative of SSRF attacks, credential theft from the metadata API, or potential container escape attempts.
This rule detects suspicious outbound network connections from common container runtime processes (e.g., containerd.exe, dockerd.exe) to well-known cloud instance metadata services (169.254.169.254, 100.100.100.200) or suspicious attempts to access container image manifests, which are indicative of SSRF attacks, credential theft from the metadata API, or potential container escape attempts.
Detects Shai-Hulud / ChainDrop activity by correlating known malicious hashes, npm/Node/Bun execution, payload artifacts, IDE persistence, credential discovery, cloud metadata access, GitHub exfiltration, C2 domains, Ethereum RPC activity, staging files, persistence artifacts, and known IOC IP connections.
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.
Detects a Node or Bun process reaching the cloud instance metadata service. The keyv/cacheable
stage-2 collector targets EC2 IMDS and ECS task metadata as the entry point to a broader sweep
covering AWS credential chains and Secrets Manager across all regions, GCP service account
keys, Azure client secrets, HashiCorp Vault tokens, Kubernetes service account tokens, GitHub
Actions OIDC request tokens and npm tokens. On a build agent this pattern is the clearest
signal that credential theft is in progress.
stage-2 collector targets EC2 IMDS and ECS task metadata as the entry point to a broader sweep
covering AWS credential chains and Secrets Manager across all regions, GCP service account
keys, Azure client secrets, HashiCorp Vault tokens, Kubernetes service account tokens, GitHub
Actions OIDC request tokens and npm tokens. On a build agent this pattern is the clearest
signal that credential theft is in progress.
Detects Shai-Hulud / ChainDrop activity by correlating known malicious hashes, npm/Node/Bun execution, payload artifacts, IDE persistence, credential discovery, cloud metadata access, GitHub exfiltration, C2 domains, Ethereum RPC activity, staging files, persistence artifacts, and known IOC IP connections.
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.
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