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elasticmediumTTP
GKE Anonymous Endpoint Permission Enumeration
Detects bursts of GKE API requests from an anonymous identity that probe many distinct actions and resources with mostly failed outcomes. This pattern is consistent with unauthenticated permission enumeration against an exposed API server. On GKE GCP audit logs, unauthenticated probes often omit "client.user.email" (null principal) with Unauthorized failures; those events are included alongside "system:anonymous" / "system:unauthenticated".
Detection Query
from logs-gcp.audit-* metadata _id, _index, _version
| where data_stream.dataset == "gcp.audit"
and service.name == "k8s.io"
and (
client.user.email in ("system:anonymous", "system:unauthenticated")
or client.user.email is null
)
and not gcp.audit.resource_name in ("readyz", "livez", "healthz", "version")
| stats
Esql.document_count = count(),
Esql.failure_count = sum(case(event.outcome == "failure", 1, 0)),
Esql.event_action_count_distinct = count_distinct(event.action),
Esql.resource_name_count_distinct = count_distinct(gcp.audit.resource_name),
Esql.event_action_values = values(event.action),
Esql.resource_name_values = values(gcp.audit.resource_name),
Esql.event_outcome_values = values(event.outcome),
Esql.client_user_email_values = values(client.user.email),
Esql.timestamp = VALUES(@timestamp),
Esql.data_stream_namespace = VALUES(data_stream.namespace),
Esql.user_agent_original_values = VALUES(user_agent.original)
by source.ip
| where Esql.event_action_count_distinct > 5
and Esql.resource_name_count_distinct > 3
and Esql.document_count < 50
and Esql.failure_count >= 1
| keep Esql.*, source.ip
Author
Elastic
Created
2026/07/16
Data Sources
GCPGoogle Cloud Platform
References
Tags
Domain: CloudDomain: KubernetesData Source: GCPData Source: Google Cloud PlatformUse Case: Threat DetectionTactic: DiscoveryTactic: ReconnaissanceResources: Investigation Guide
Raw Content
[metadata]
creation_date = "2026/07/16"
integration = ["gcp"]
maturity = "production"
updated_date = "2026/07/16"
[rule]
author = ["Elastic"]
description = """
Detects bursts of GKE API requests from an anonymous identity that probe many distinct actions and resources with
mostly failed outcomes. This pattern is consistent with unauthenticated permission enumeration against an exposed API
server. On GKE GCP audit logs, unauthenticated probes often omit "client.user.email" (null principal) with
Unauthorized failures; those events are included alongside "system:anonymous" / "system:unauthenticated".
"""
from = "now-6m"
interval = "5m"
language = "esql"
license = "Elastic License v2"
name = "GKE Anonymous Endpoint Permission Enumeration"
note = """## Triage and analysis
### Investigating GKE Anonymous Endpoint Permission Enumeration
Anonymous multi-endpoint failure bursts map which APIs are reachable before credential theft or exploitation.
Treat missing `client.user.email` with Unauthorized/failure bursts as anonymous on GKE.
### Investigation steps
- Review `Esql.event_action_values` and `Esql.resource_name_values` for targeted APIs (secrets, RBAC, CRDs).
- Confirm whether `source.ip` is Internet-routable and whether the API endpoint is publicly exposed.
- Hunt for later successful anonymous or authenticated activity from the same source or user agent.
### False positives
- Misconfigured auth proxies that strip credentials can make legitimate clients appear anonymous during outages.
"""
references = [
"https://heilancoos.github.io/research/2025/12/16/kubernetes.html#unauthenticated-api-access",
"https://cloud.google.com/kubernetes-engine/docs/how-to/audit-logging",
]
risk_score = 47
rule_id = "bd7345e5-c822-41de-a393-7573fec07ef4"
severity = "medium"
tags = [
"Domain: Cloud",
"Domain: Kubernetes",
"Data Source: GCP",
"Data Source: Google Cloud Platform",
"Use Case: Threat Detection",
"Tactic: Discovery",
"Tactic: Reconnaissance",
"Resources: Investigation Guide",
]
timestamp_override = "event.ingested"
type = "esql"
setup = "The GCP Fleet integration with GKE audit logs enabled is required to be compatible with this rule."
query = '''
from logs-gcp.audit-* metadata _id, _index, _version
| where data_stream.dataset == "gcp.audit"
and service.name == "k8s.io"
and (
client.user.email in ("system:anonymous", "system:unauthenticated")
or client.user.email is null
)
and not gcp.audit.resource_name in ("readyz", "livez", "healthz", "version")
| stats
Esql.document_count = count(),
Esql.failure_count = sum(case(event.outcome == "failure", 1, 0)),
Esql.event_action_count_distinct = count_distinct(event.action),
Esql.resource_name_count_distinct = count_distinct(gcp.audit.resource_name),
Esql.event_action_values = values(event.action),
Esql.resource_name_values = values(gcp.audit.resource_name),
Esql.event_outcome_values = values(event.outcome),
Esql.client_user_email_values = values(client.user.email),
Esql.timestamp = VALUES(@timestamp),
Esql.data_stream_namespace = VALUES(data_stream.namespace),
Esql.user_agent_original_values = VALUES(user_agent.original)
by source.ip
| where Esql.event_action_count_distinct > 5
and Esql.resource_name_count_distinct > 3
and Esql.document_count < 50
and Esql.failure_count >= 1
| keep Esql.*, source.ip
'''
[[rule.threat]]
framework = "MITRE ATT&CK"
[[rule.threat.technique]]
id = "T1613"
name = "Container and Resource Discovery"
reference = "https://attack.mitre.org/techniques/T1613/"
[rule.threat.tactic]
id = "TA0007"
name = "Discovery"
reference = "https://attack.mitre.org/tactics/TA0007/"
[[rule.threat]]
framework = "MITRE ATT&CK"
[[rule.threat.technique]]
id = "T1595"
name = "Active Scanning"
reference = "https://attack.mitre.org/techniques/T1595/"
[[rule.threat.technique.subtechnique]]
id = "T1595.003"
name = "Wordlist Scanning"
reference = "https://attack.mitre.org/techniques/T1595/003/"
[rule.threat.tactic]
id = "TA0043"
name = "Reconnaissance"
reference = "https://attack.mitre.org/tactics/TA0043/"