Detection: Kubernetes Azure detect sensitive object access

DEPRECATED DETECTION

This detection has been marked as deprecated by the Splunk Threat Research team. This means that it will no longer be maintained or supported. If you have any questions or concerns, please reach out to us at research@splunk.com.

Updated Date: 2024-08-15 ID: 1bba382b-07fd-4ffa-b390-8002739b76e8 Author: Rod Soto, Splunk Type: Hunting Product: Splunk Enterprise Security

Description

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

Search

1`kubernetes_azure` category=kube-audit 
2| spath input=properties.log
3| search objectRef.resource=secrets OR configmaps user.username=system.anonymous OR annotations.authorization.k8s.io/decision=allow  
4|table user.username user.groups{} objectRef.resource objectRef.namespace objectRef.name annotations.authorization.k8s.io/reason 
5|dedup user.username user.groups{} 
6|`kubernetes_azure_detect_sensitive_object_access_filter`

Data Source

Name	Platform	Sourcetype	Source	Supported App
N/A	N/A	N/A	N/A	N/A

Macros Used

Name	Value
kubernetes_azure	`sourcetype=mscs:storage:blob:json`
kubernetes_azure_detect_sensitive_object_access_filter	`search *`

kubernetes_azure_detect_sensitive_object_access_filter is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Annotations

- MITRE ATT&CK

+ Kill Chain Phases

+ NIST

+ CIS

- Threat Actors

ID	Technique	Tactic

NistCategory.DE_AE

Cis18Value.CIS_10

Default Configuration

This detection is configured by default in Splunk Enterprise Security to run with the following settings:

Setting	Value
Disabled	true
Cron Schedule	`0 * * * *`
Earliest Time	`-70m@m`
Latest Time	`-10m@m`
Schedule Window	`auto`
Creates Risk Event	False

This configuration file applies to all detections of type hunting.

Implementation

You must install the Add-on for Microsoft Cloud Services and Configure Kube-Audit data diagnostics

Known False Positives

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

Associated Analytic Story

Kubernetes Sensitive Object Access Activity

Risk Based Analytics (RBA)

Risk Message	Risk Score	Impact	Confidence
tbd	25	50	50

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

Detection Testing

Test Type	Status	Dataset	Source	Sourcetype
Validation	Not Applicable	N/A	N/A	N/A
Unit	❌ Failing	N/A	`N/A`	`N/A`
Integration	❌ Failing	N/A	`N/A`	`N/A`

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

Source: GitHub | Version: 2