Detects Kubernetes pod exec sessions whose decoded command line references cloud instance metadata endpoints or equivalent hostnames and paths. Workloads that reach the link-local metadata IP, AWS IMDS paths, GCP computeMetadata, Azure IMDS token routes, or encoded variants are often attempting to harvest role credentials, tokens, or instance attributes from the underlying node or hypervisor boundary. That behavior is high risk in multi-tenant and regulated environments because it can expose short-lived cloud credentials to code running inside a container. The rule classifies a coarse cloud target label and whether the string looks like credential retrieval versus lighter reconnaissance.

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Identifies prompts sent to an Amazon Bedrock AgentCore runtime that attempt to harvest credentials or coerce the agent into exfiltrating data. The runtime application logs capture the caller-supplied prompt; this rule flags prompts that reference the cloud instance metadata service (169.254.169.254, the ECS task metadata address, or the "latest/meta-data" / "security-credentials" paths), prompts that name AWS access or secret keys directly, and prompt-injection or jailbreak language ("ignore previous instructions", "developer mode", "do anything now") combined with intent to reveal secrets, system prompts, or send data to an external endpoint. Asking an agent to read instance metadata credentials or to exfiltrate secrets is rarely legitimate and indicates an attempt to weaponize the agent for credential theft, even when the model refuses the request.

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Detects HTTP GET requests to the link-local instance metadata service (169.254.169.254) for cloud credential or token paths on AWS, GCP, or Azure. Adversaries and vulnerable workloads use scripts, shells, or application runtimes to read IAM role credentials or OAuth tokens from the metadata API. Requires the Network Packet Capture integration with HTTP decoding on ports 80 and 443 and process enrichment enabled so "process.*" fields are present.

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Detects successful GKE pod exec sessions whose command references Google Cloud instance metadata endpoints, including metadata.google.internal, computeMetadata/v1, or the link-local metadata IP 169.254.169.254. Workloads that reach the GKE metadata service from an exec session are often attempting to harvest short-lived credentials or instance attributes from the node or workload identity boundary. That behavior is high risk because it can expose cloud credentials to code running inside a container. GKE records the command in gcp.audit.labels.command.gke.io/command when an explicit command is passed to exec.

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This rule identifies various tools/scripts performing command line execution attempting to access the cloud service provider's instance metadata service (IMDS) API endpoint, which can be used to retrieve sensitive instance-specific information such as instance ID, public IP address, and even temporary security credentials if roles are assumed by that instance.

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This rule identifies various tools/scripts performing network activities attempting to access the cloud service provider's instance metadata service (IMDS) API endpoint, which can be used to retrieve sensitive instance-specific information such as instance ID, public IP address, and even temporary security credentials if roles are assumed by that instance.

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Detects HTTP requests to web servers whose URL or query string references cloud instance metadata endpoints or equivalent encoded variants. Attackers exploit server-side request forgery (SSRF) vulnerabilities in web applications to reach link-local metadata services on AWS, GCP, Azure, and similar cloud providers and harvest temporary credentials, tokens, or instance details.

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