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We have not been able to test, simulate or build datasets for it, use at your own risk!

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Description

This search provides information on anonymous Kubectl calls with IP, verb namespace and object access context

  • Type: Hunting
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel:
  • Last Updated: 2020-06-23
  • Author: Rod Soto, Splunk
  • ID: 042a3d32-8318-4763-9679-09db2644a8f2
`aws_cloudwatchlogs_eks` userAgent=kubectl* sourceIPs{}!=127.0.0.1 sourceIPs{}!=::1 src_user=system:anonymous  
| table  src_ip src_user verb userAgent requestURI  
| stats  count by src_ip src_user verb userAgent requestURI 
|`kubernetes_aws_detect_suspicious_kubectl_calls_filter`

Associated Analytic Story

How To Implement

You must install splunk AWS add on and Splunk App for AWS. This search works with cloudwatch logs.

Required field

  • _time
  • userAgent
  • sourceIPs{}
  • src_user
  • src_ip
  • verb
  • requestURI

Kill Chain Phase

  • Lateral Movement

Known False Positives

Kubectl calls are not malicious by nature. However source IP, verb and Object can reveal potential malicious activity, specially anonymous suspicious IPs and sensitive objects such as configmaps or secrets

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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