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Description

This search provides information on Kubernetes accounts accessing sensitve objects such as configmaps or secrets

  • Type: Hunting
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud

  • Last Updated: 2020-06-23
  • Author: Rod Soto, Splunk
  • ID: 7f227943-2196-4d4d-8d6a-ac8cb308e61c

Annotations

ATT&CK
Kill Chain Phase
  • Exploitation
NIST
CIS20
CVE
1
2
3
4
`aws_cloudwatchlogs_eks` objectRef.resource=secrets OR configmaps sourceIPs{}!=::1 sourceIPs{}!=127.0.0.1  
|table sourceIPs{} user.username user.groups{} objectRef.resource objectRef.namespace objectRef.name annotations.authorization.k8s.io/reason 
|dedup user.username user.groups{} 
|`aws_eks_kubernetes_cluster_sensitive_object_access_filter`

Macros

The SPL above uses the following Macros:

:information_source: aws_eks_kubernetes_cluster_sensitive_object_access_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Required field

  • _time

How To Implement

You must install Splunk Add-on for Amazon Web Services and Splunk App for AWS. This search works with cloudwatch logs.

Known False Positives

Sensitive object access is not necessarily malicious but user and object context can provide guidance for detection.

Associated Analytic story

RBA

Risk Score Impact Confidence Message
25.0 50 50 tbd

:information_source: The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.

Reference

Test Dataset

Replay any dataset to Splunk Enterprise by using our replay.py tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range

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