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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