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3.7 KiB
3.7 KiB
title, excerpt, categories, last_modified_at, toc, toc_label, tags
| title | excerpt | categories | last_modified_at | toc | toc_label | tags | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Circle CI Disable Security Step | Compromise Client Software Binary |
|
2021-09-01 | true |
|
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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
- Datamodel:
- Last Updated: 2021-09-01
- Author: Patrick Bareiss, Splunk
- ID: 72cb9de9-e98b-4ac9-80b2-5331bba6ea97
ATT&CK
| ID | Technique | Tactic |
|---|---|---|
| T1554 | Compromise Client Software Binary | Persistence |
Search
`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:
Note that 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 field
- _times
How To Implement
You must index CircleCI logs.
Known False Positives
unknown
Associated Analytic story
Kill Chain Phase
- Actions on Objectives
RBA
| Risk Score | Impact | Confidence | Message |
|---|---|---|---|
| 72.0 | 80 | 90 | disable security step mandatory_step in job job_name from user user |
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