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Description

This search looks for disable security step in CircleCI pipeline.

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

  • Last Updated: 2021-09-01
  • Author: Patrick Bareiss, Splunk
  • ID: 72cb9de9-e98b-4ac9-80b2-5331bba6ea97

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1554 Compromise Client Software Binary Persistence
Kill Chain Phase
  • Actions on Objectives
NIST
  • PR.DS
  • PR.AC
  • DE.CM
CIS20
  • CIS 13
CVE
1
2
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8
9
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16
`circleci` 
| rename workflows.job_id AS job_id 
| join job_id [ 
| search `circleci` 
| stats values(name) as step_names count by job_id job_name ] 
| stats count by step_names job_id job_name vcs.committer_name vcs.subject vcs.url owners{} 
| rename vcs.* as * , owners{} as user 
| lookup mandatory_step_for_job job_name OUTPUTNEW step_name AS mandatory_step 
| search mandatory_step=* 
| eval mandatory_step_executed=if(like(step_names, "%".mandatory_step."%"), 1, 0) 
| where mandatory_step_executed=0 
| rex field=url "(?<repository>[^\/]*\/[^\/]*)$" 
| eval phase="build"  
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `circle_ci_disable_security_step_filter`

Macros

The SPL above uses the following Macros:

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

Lookups

The SPL above uses the following Lookups:

Required fields

List of fields required to use this analytic.

  • _times

How To Implement

You must index CircleCI logs.

Known False Positives

unknown

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
72.0 80 90 disable security step $mandatory_step$ in job $job_name$ from user $user$

: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

source | version: 1