GitHub Repo

Aws Exfil Risk Events

Date: 2023-03-31 ID: cc9b2602-efc9-1111-926b-5511f09431bb Author: Bhavin Patel Environment: attack_range Directory: aws_exfil_risk_events

Description

This dataset contains Risk events created by the detection analytics related Collection and Exfiltration techniques in Enterprise Security

MITRE ATT&CK Techniques

ID Technique Tactic
T1537 Transfer Data to Cloud Account Exfiltration

Environment Details

Field Value
Environment attack_range
Directory aws_exfil_risk_events
Test Date 2023-03-31

Datasets

The following datasets were collected during this attack simulation:

Aws_risk

  • Path: /datasets/attack_techniques/T1537/aws_exfil_risk_events/aws_risk.log
  • 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 S3 Exfiltration Behavior Identified Correlation Cloud T1537 Suspicious Cloud Instance Activities, Data Exfiltration

Usage Instructions

Replay with Splunk Attack Data

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

1python replay.py --dataset /datasets/attack_techniques/T1537/aws_exfil_risk_events/aws_risk.log --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