Kubernetes Secret Get or List with Suspicious User Agent
Description
Detects read access to Kubernetes Secrets (get/list) with a user agent matching a curated set of non-standard or attacker-leaning clients, for example minimal HTTP tooling, common scripting stacks, default library fingerprints, or distribution-tagged strings associated with offensive-security Linux images. Legitimate in-cluster automation usually presents stable, purpose-specific user agents (for example controller or client-go variants used by known components).
Query · kuery
data_stream.dataset:"kubernetes.audit_logs" and event.action:(get or list) and kubernetes.audit.objectRef.resource:"secrets" and event.outcome:"success" and user_agent.original:(curl* or python* or Python* or wget* or Go-http* or perl* or java* or node* or php* or *distrib#kali* or *kali-amd64* or *kali-arm64* or Bun* or axios* or undici*) and source.ip:*
Known false positives
- Operators may use ad hoc HTTP clients, scripts, or penetration-test images during approved exercises or break-glass maintenance; validate tickets, source IP, and identity before treating as compromise.
- Internal automation built with generic libraries can resemble suspicious user agents; baseline known jobs and tune by service account, namespace, or stable source IP allowlists.
Analyst notes
Investigating Kubernetes Secret Get or List with Suspicious User Agent
The rule matches Kubernetes audit events for secret get/list where user_agent.original matches a small
allowlist of suspicious patterns (scripting runtimes, bare HTTP clients, and known offensive-distro markers) and
source.ip is populated. It is meant to highlight credential access where the client fingerprint does not look
like routine kubectl or well-known controller traffic relative to your environment.
Possible investigation steps
- Tie
user.name(andkubernetes.audit.impersonatedUser.*if present) to a human, service account, or cloud identity and validate whether that principal should use this user-agent profile against the targeted namespaces and secret names. - Review
kubernetes.audit.objectRef.namespaceandkubernetes.audit.objectRef.namefor high-value objects (service account tokens, cloud IAM bindings, registry pulls, TLS bundles). - Pivot on
source.ipin VPC flow, VPN, or proxy logs to determine origin (employee laptop, compromised host, cloud instance) and correlate with other API bursts or exec activity. - Check
kubernetes.audit.annotations.authorization_k8s_io/decisionfor successful reads versus failed probing.
False positive analysis
- CI, GitOps, or one-off scripts can emit generic user agents with broad RBAC; exclude stable pipelines and service accounts after review.
- Local API server loopback may still populate
source.ipin some topologies; compare with expected control-plane paths.
Response and remediation
- If unauthorized, rotate affected secrets and credentials, revoke tokens or kubeconfigs for the identity, tighten RBAC, and block or isolate the source host at the network edge to the API server where appropriate.