AWS ECR Container Upload Unknown User
Description
This search looks for AWS CloudTrail events from AWS Elastic Container Service (ECR). A upload of a new container is normally done from only a few known users. When the user was never seen before, we should have a closer look into the event.
- Type: Anomaly
-
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2021-08-19
- Author: Patrick Bareiss, Splunk
- ID: 300688e4-365c-4486-a065-7c884462b31d
Annotations
ATT&CK
Kill Chain Phase
- Actions on Objectives
NIST
- PR.DS
- PR.AC
- DE.CM
CIS20
- CIS 13
CVE
Search
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`cloudtrail` eventSource=ecr.amazonaws.com eventName=PutImage NOT `aws_ecr_users`
| rename requestParameters.* as *
| rename repositoryName AS image
| eval phase="release"
| eval severity="high"
| stats min(_time) as firstTime max(_time) as lastTime by awsRegion, eventName, eventSource, user, userName, src_ip, imageTag, registryId, image, phase, severity
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `aws_ecr_container_upload_unknown_user_filter`
Macros
The SPL above uses the following Macros:
aws_ecr_container_upload_unknown_user_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
Required fields
List of fields required to use this analytic.
- eventSource
- eventName
- awsRegion
- requestParameters.imageTag
- requestParameters.registryId
- requestParameters.repositoryName
- user
- userName
- src_ip
How To Implement
You must install splunk AWS add on and Splunk App for AWS. This search works with AWS CloudTrail logs.
Known False Positives
unknown
Associated Analytic Story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
49.0 | 70 | 70 | Container uploaded from unknown user $user$ |
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