Amazon EKS Kubernetes cluster scan detection
The following analytic detects unauthenticated requests to an Amazon EKS Kubernetes cluster, specifically identifying actions by the "system:anonymous" user. It leverages AWS CloudWatch Logs data, focusing on user…
Description
The following analytic detects unauthenticated requests to an Amazon EKS Kubernetes cluster, specifically identifying actions by the "system:anonymous" user. It leverages AWS CloudWatch Logs data, focusing on user agents and authentication details. This activity is significant as it may indicate unauthorized scanning or probing of the Kubernetes cluster, which could be a precursor to an attack. If confirmed malicious, this could lead to unauthorized access, data exfiltration, or disruption of services within the Kubernetes environment.
Detection logic
Detection requirements
- Platform
- IaaSIdentity ProviderOffice SuiteSaaS
The rule states no platform. This is derived from the ATT&CK technique it maps to.
Known benign triggers
- Not all unauthenticated requests are malicious, but frequency, UA and source IPs will provide context.
MITRE ATT&CK mappings
0 exclusive techniques.This is coverage no other published rule has; it is not this rule's total technique count.
No references are available for this detection.
From the source
- At source
- Open at source
- Upstream identifier
- 294c4686-63dd-4fe6-93a2-ca807626704a
- Tagged by the source as
- Kubernetes Scanning ActivityAmazon EKS Kubernetes clustercloudSplunk CloudSplunk EnterpriseSplunk Enterprise Securitythreat
Licence
- Published under
- Apache License 2.0Read the licence
- Attribution
- Required
- Obtained under
- Apache-2.0Read the origin licence
Authorship
- Published
- Aug 26, 2026
- Version
- 1