Aws Ecr Container Upload
Description
Manual generation of attack data by uploading container to AWS ECR.
MITRE ATT&CK Techniques
| ID | Technique | Tactic |
|---|---|---|
| T1204.003 | Malicious Image | Execution |
Environment Details
| Field | Value |
|---|---|
| Environment | attack_range |
| Directory | aws_ecr_container_upload |
| Test Date | 2021-08-18 |
Datasets
The following datasets were collected during this attack simulation:
Asl_ocsf_cloudtrail-Json
- Path:
/datasets/attack_techniques/T1204.003/aws_ecr_container_upload/asl_ocsf_cloudtrail.json - Sourcetype:
aws:cloudtrail:lake - Source:
aws_asl
Aws_ecr_container_upload-Json
- Path:
/datasets/attack_techniques/T1204.003/aws_ecr_container_upload/aws_ecr_container_upload.json - Sourcetype:
aws:cloudtrail - Source:
aws_cloudtrail
Related Detections
The following detections in our security content repository use this attack data for testing:
| Detection Name | Type | Source | MITRE ATT&CK | Analytic Story |
|---|---|---|---|---|
| ASL AWS ECR Container Upload Unknown User | Anomaly |
Cloud | T1204.003 | Dev Sec Ops |
| ASL AWS ECR Container Upload Outside Business Hours | Anomaly |
Cloud | T1204.003 | Dev Sec Ops |
| AWS ECR Container Upload Outside Business Hours | Anomaly |
Cloud | T1204.003 | Dev Sec Ops |
| AWS ECR Container Upload Unknown User | Anomaly |
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_container_upload/asl_ocsf_cloudtrail.json --index attack_data
Manual Import
- Download the dataset files from the paths listed above
- Configure your Splunk instance with the appropriate sourcetypes
- 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