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splunk_escuAnomaly
AWS ECR Container Scanning Findings Low Informational Unknown
The following analytic identifies low, informational, or unknown severity findings from AWS Elastic Container Registry (ECR) image scans. It leverages AWS CloudTrail logs, specifically the DescribeImageScanFindings event, to detect these findings. This activity is significant for a SOC as it helps in early identification of potential vulnerabilities or misconfigurations in container images, which could be exploited if left unaddressed. If confirmed malicious, these findings could lead to unauthorized access, data breaches, or further exploitation within the containerized environment.
MITRE ATT&CK
Detection Query
`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 repository
| rename user_name as user
| stats count min(_time) as firstTime max(_time) as lastTime
BY signature dest user
user_agent src vendor_account
vendor_region vendor_product finding_name
finding_description imageDigest repository
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `aws_ecr_container_scanning_findings_low_informational_unknown_filter`Author
Patrick Bareiss, Eric McGinnis Splunk
Created
2026-03-10
Data Sources
AWS CloudTrail DescribeImageScanFindings
Tags
Dev Sec Ops
Raw Content
name: AWS ECR Container Scanning Findings Low Informational Unknown
id: cbc95e44-7c22-443f-88fd-0424478f5589
version: 11
date: '2026-03-10'
author: Patrick Bareiss, Eric McGinnis Splunk
status: production
type: Anomaly
description: The following analytic identifies low, informational, or unknown severity findings from AWS Elastic Container Registry (ECR) image scans. It leverages AWS CloudTrail logs, specifically the DescribeImageScanFindings event, to detect these findings. This activity is significant for a SOC as it helps in early identification of potential vulnerabilities or misconfigurations in container images, which could be exploited if left unaddressed. If confirmed malicious, these findings could lead to unauthorized access, data breaches, or further exploitation within the containerized environment.
data_source:
- AWS CloudTrail DescribeImageScanFindings
search: |-
`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 repository
| rename user_name as user
| stats count min(_time) as firstTime max(_time) as lastTime
BY signature dest user
user_agent src vendor_account
vendor_region vendor_product finding_name
finding_description imageDigest repository
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `aws_ecr_container_scanning_findings_low_informational_unknown_filter`
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: No false positives have been identified at this time.
references:
- https://docs.aws.amazon.com/AmazonECR/latest/userguide/image-scanning.html
drilldown_searches:
- name: View the detection results for - "$user$"
search: '%original_detection_search% | search user = "$user$"'
earliest_offset: $info_min_time$
latest_offset: $info_max_time$
- name: View risk events for the last 7 days for - "$user$"
search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$user$") starthoursago=168 | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
earliest_offset: $info_min_time$
latest_offset: $info_max_time$
rba:
message: Vulnerabilities found in repository $repository$
risk_objects:
- field: user
type: user
score: 20
threat_objects: []
tags:
analytic_story:
- Dev Sec Ops
asset_type: AWS Account
mitre_attack_id:
- T1204.003
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
security_domain: network
tests:
- name: True Positive Test
attack_data:
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1204.003/aws_ecr_image_scanning/aws_ecr_scanning_findings_events.json
sourcetype: aws:cloudtrail
source: aws_cloudtrail