GKE API Request Failure Burst by User

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GKE API Request Failure Burst by User

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Detects bursts of failed GKE API requests from a single user identity within a five-minute window. Repeated authorization failures across multiple actions can indicate credential stuffing, RBAC probing, or reconnaissance with stolen tokens.

Rule type: esql

Rule indices: None

Severity: medium

Risk score: 47

Runs every: 5m

Searches indices from: now-11m (Date Math format, see also Additional look-back time)

Maximum alerts per execution: 100

References:

Tags:

  • Domain: Cloud
  • Domain: Kubernetes
  • Data Source: GCP
  • Data Source: Google Cloud Platform
  • Use Case: Threat Detection
  • Tactic: Discovery
  • Resources: Investigation Guide

Version: 1

Rule authors:

  • Elastic

Rule license: Elastic License v2

Investigation guide

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Triage and analysis

Investigating GKE API Request Failure Burst by User

The rule aggregates failed Kubernetes API calls per user.email, source IP, and user agent in five-minute buckets and alerts when failures reach ten or more.

Investigation steps

  • Review Esql.actions and Esql.resources for targeted API operations.
  • Validate whether the identity should exist and whether the source IP is expected.
  • Hunt for later successful calls indicating privilege escalation.

False positives

  • Misconfigured automation or CI jobs with stale credentials may generate bursts; exclude known service accounts.

Setup

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The GCP Fleet integration with GKE audit logs enabled is required to be compatible with this rule.

Rule query

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from logs-gcp.audit-* metadata _id, _index, _version
| eval Esql.time_interval = date_trunc(5 minutes, @timestamp)
| where data_stream.dataset == "gcp.audit"
    and service.name == "k8s.io"
    and event.outcome == "failure"
    and event.type != "allowed"
    and user.email is not null
    and not to_string(user.email) rlike "(system:serviceaccount:|system:gke-spiffe-controller|system:kube-scheduler|system:node:).*"
| stats
    Esql.unique_actions = count_distinct(event.action),
    Esql.failures_count = count(*),
    Esql.actions = values(event.action),
    Esql.resources = values(orchestrator.resource.name)
  by user.email, source.ip, user_agent.original, data_stream.namespace, Esql.time_interval
| where Esql.failures_count >= 10
| keep Esql.*, user.email, source.ip, user_agent.original, data_stream.namespace

Framework: MITRE ATT&CKTM