GKE Forbidden Request from Unusual User Agent
Detects the first occurrence of a failed GKE API request from a previously unseen user agent. Adversary tooling often uses non-standard clients; combined with authorization failures this can indicate RBAC probing or exploitation attempts.
Elastic rule (View on GitHub)
1[metadata]
2creation_date = "2026/07/16"
3integration = ["gcp"]
4maturity = "production"
5updated_date = "2026/09/18"
6
7[rule]
8author = ["Elastic"]
9description = """
10Detects the first occurrence of a failed GKE API request from a previously unseen user agent. Adversary tooling often
11uses non-standard clients; combined with authorization failures this can indicate RBAC probing or exploitation attempts.
12"""
13false_positives = [
14 """
15 New internal tools, SDKs, or CI runners introduce novel user agents. Baseline expected clients, then exclude stable
16 automation UAs after review.
17 """,
18]
19from = "now-6m"
20index = ["logs-gcp.audit-*"]
21language = "kuery"
22license = "Elastic License v2"
23name = "GKE Forbidden Request from Unusual User Agent"
24note = """## Triage and analysis
25
26### Investigating GKE Forbidden Request from Unusual User Agent
27
28A novel user agent with failed API calls may be scanner or post-compromise tooling probing RBAC.
29
30### Investigation steps
31
32- Review `user_agent.original`, `client.user.email`, `event.action`, `gcp.audit.resource_name`, and `source.ip`.
33- Determine whether the client is expected (new SDK, CI image) or external reconnaissance.
34- Hunt for successful requests from the same UA or source after the failures.
35
36### False positives
37
38- First use of a legitimate new client library; add a scoped UA exception after validation.
39
40"""
41references = [
42 "https://kubernetes.io/docs/reference/access-authn-authz/authorization/",
43 "https://cloud.google.com/kubernetes-engine/docs/how-to/audit-logging",
44]
45risk_score = 47
46rule_id = "e1147459-a3e1-4bdc-bab9-965807801774"
47severity = "medium"
48tags = [
49 "Domain: Cloud",
50 "Domain: Kubernetes",
51 "Data Source: GCP",
52 "Data Source: Google Cloud Platform",
53 "Use Case: Threat Detection",
54 "Tactic: Execution",
55 "Tactic: Discovery",
56 "Resources: Investigation Guide",
57 "Noise: Low",
58 "Performance: Fast",
59 "Rule Type: New Terms",
60 "Platform: GCP",
61 "Domain: Containers",
62 "Platform: Kubernetes",
63]
64timestamp_override = "event.ingested"
65type = "new_terms"
66setup = "The GCP Fleet integration with GKE audit logs enabled is required to be compatible with this rule."
67
68query = '''
69data_stream.dataset:gcp.audit and service.name:k8s.io and event.outcome:failure and
70user_agent.original:(* and not (*kubernetes/$Format or kube-probe* or gke-exec-auth-plugin*)) and
71not client.user.email:(
72 "system:addon-manager" or system\:*controller* or system\:gke-* or
73 "system:apiserver" or "system:kube-scheduler" or "system:metrics-server-nanny" or
74 "system:kube-proxy" or "system:clustermetrics" or "system:vpa-recommender" or
75 "system:cluster-autoscaler" or "system:kubestore-collector" or
76 "system:konnectivity-server" or
77 "system:serviceaccount:kube-system:pod-garbage-collector" or
78 "system:serviceaccount:kube-system:generic-garbage-collector" or system\:node\:* or
79 "gcp:kube-bootstrap" or *container-engine-robot*
80)
81'''
82
83[rule.new_terms]
84field = "new_terms_fields"
85value = ["user_agent.original"]
86
87[[rule.new_terms.history_window_start]]
88field = "history_window_start"
89value = "now-7d"
90
91[[rule.threat]]
92framework = "MITRE ATT&CK"
93
94[rule.threat.tactic]
95id = "TA0002"
96name = "Execution"
97reference = "https://attack.mitre.org/tactics/TA0002/"
98
99[[rule.threat]]
100framework = "MITRE ATT&CK"
101
102[[rule.threat.technique]]
103id = "T1613"
104name = "Container and Resource Discovery"
105reference = "https://attack.mitre.org/techniques/T1613/"
106
107[rule.threat.tactic]
108id = "TA0007"
109name = "Discovery"
110reference = "https://attack.mitre.org/tactics/TA0007/"
111
112[rule.investigation_fields]
113field_names = [
114 "@timestamp",
115 "client.user.email",
116 "source.ip",
117 "user_agent.original",
118 "event.action",
119 "event.outcome",
120 "gcp.audit.resource_name",
121 "orchestrator.resource.name",
122 "orchestrator.namespace",
123]
Triage and analysis
Investigating GKE Forbidden Request from Unusual User Agent
A novel user agent with failed API calls may be scanner or post-compromise tooling probing RBAC.
Investigation steps
- Review
user_agent.original,client.user.email,event.action,gcp.audit.resource_name, andsource.ip. - Determine whether the client is expected (new SDK, CI image) or external reconnaissance.
- Hunt for successful requests from the same UA or source after the failures.
False positives
- First use of a legitimate new client library; add a scoped UA exception after validation.
References
Related rules
- GKE Secrets List from Unusual Source AS Organization
- GKE User Exec into Pod
- GKE Anonymous Endpoint Permission Enumeration
- GKE Anonymous Pod Create/Update/Patch
- GKE Anonymous Request Authorized by Unusual User Agent