AWS ECR Container Scanning Findings Low Informational Unknown
Description
This search looks for AWS CloudTrail events from AWS Elastic Container Service (ECR). You need to activate image scanning in order to get the event DescribeImageScanFindings with the results.
- Type: Hunting
-
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2022-08-25
- Author: Patrick Bareiss, Eric McGinnis Splunk
- ID: cbc95e44-7c22-443f-88fd-0424478f5589
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=DescribeImageScanFindings
| spath path=responseElements.imageScanFindings.findings{} output=findings
| mvexpand findings
| spath input=findings
| search severity IN ("LOW", "INFORMATIONAL", "UNKNOWN")
| rename name as finding_name, description as finding_description, requestParameters.imageId.imageDigest as imageDigest, requestParameters.repositoryName as repositoryName
| eval finding = finding_name.", ".finding_description
| eval phase="release"
| eval severity="low"
| stats min(_time) as firstTime max(_time) as lastTime by awsRegion, eventName, eventSource, imageDigest, repositoryName, userName, src_ip, finding, phase, severity
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `aws_ecr_container_scanning_findings_low_informational_unknown_filter`
Macros
The SPL above uses the following Macros:
aws_ecr_container_scanning_findings_low_informational_unknown_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
- responseElements.imageScanFindings.findings{}
- awsRegion
- requestParameters.imageId.imageDigest
- 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 |
---|---|---|---|
7.0 | 10 | 70 | Vulnerabilities with severity high found in repository $repositoryName$ |
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