GitHub Repo

Aws Ecr Image Scanning

Date: 2021-08-18 ID: b6751b2a-ba1e-4a53-9585-381bc5f166f1 Author: Patrick Bareiss Environment: attack_range Directory: aws_ecr_image_scanning

Description

Manual generation of attack data by running aws ecr scanner on docker image in AWS ECR.

MITRE ATT&CK Techniques

ID Technique Tactic
T1204.003 Malicious Image Execution

Environment Details

Field Value
Environment attack_range
Directory aws_ecr_image_scanning
Test Date 2021-08-18

Datasets

The following datasets were collected during this attack simulation:

Aws_ecr_scanning_findings_events-Json

  • Path: /datasets/attack_techniques/T1204.003/aws_ecr_image_scanning/aws_ecr_scanning_findings_events.json
  • Sourcetype: aws:cloudtrail
  • Source: aws_cloudtrail

The following detections in our security content repository use this attack data for testing:

Detection Name Type Source MITRE ATT&CK Analytic Story
AWS ECR Container Scanning Findings Low Informational Unknown Anomaly Cloud T1204.003 Dev Sec Ops
AWS ECR Container Scanning Findings Medium Anomaly Cloud T1204.003 Dev Sec Ops
AWS ECR Container Scanning Findings High TTP Cloud T1204.003 Dev Sec Ops

Usage Instructions

Replay with Splunk Attack Data

Replay attack data with replay.py from Splunk Attack Data.

1python replay.py --dataset /datasets/attack_techniques/T1204.003/aws_ecr_image_scanning/aws_ecr_scanning_findings_events.json --index attack_data

Manual Import

  1. Download the dataset files from the paths listed above
  2. Configure your Splunk instance with the appropriate sourcetypes
  3. Import the logs using the Splunk Add Data wizard

Related Content

Find more detections and analytics for this attack technique in our security content repository.

Source: GitHub | Version: 1.0