GitHub Repo

Aws Cloudwatch Logs High Volume Retrieval

Date: 2026-09-21 ID: 64a58b0f-ef34-44e6-bda0-f10457e9cbc0 Author: Maria Jose Erquiaga Environment: attack_range Directory: aws_cloudwatch_logs_high_volume_retrieval

Description

Dataset containing AWS CloudTrail events generated by more than 500 Amazon CloudWatch Logs GetLogEvents operations performed by the same principal and AWS account within a five-minute period.

MITRE ATT&CK Techniques

ID Technique Tactic
T1530 Data from Cloud Storage Collection

Environment Details

Field Value
Environment attack_range
Directory aws_cloudwatch_logs_high_volume_retrieval
Test Date 2026-09-21

Datasets

The following datasets were collected during this attack simulation:

Aws_cloudwatch_logs_high_volume_retrieval-Json

  • Path: /datasets/attack_techniques/T1530/aws_cloudwatch_logs_high_volume_retrieval/aws_cloudwatch_logs_high_volume_retrieval.json
  • Sourcetype: aws:cloudtrail
  • Source: aws_cloudtrail

No specific detections currently use this attack data for testing. However, you can find related detections and analytics in our security content repository.

Usage Instructions

Replay with Splunk Attack Data

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

1python replay.py --dataset /datasets/attack_techniques/T1530/aws_cloudwatch_logs_high_volume_retrieval/aws_cloudwatch_logs_high_volume_retrieval.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