| name |
description |
domain |
subdomain |
tags |
version |
author |
license |
nist_csf |
| performing-cloud-forensics-with-aws-cloudtrail |
Perform forensic investigation of AWS environments using CloudTrail logs to reconstruct attacker activity, identify compromised credentials, and analyze API call patterns. |
cybersecurity |
cloud-security |
| cloud-security |
| aws |
| cloudtrail |
| forensics |
| incident-response |
| dfir |
| boto3 |
| s3 |
|
1.0 |
mahipal |
Apache-2.0 |
| PR.IR-01 |
| ID.AM-08 |
| GV.SC-06 |
| DE.CM-01 |
|
Performing Cloud Forensics with AWS CloudTrail
When to Use
- When investigating suspected AWS account compromise
- After detecting unauthorized API calls or credential exposure
- During incident response involving cloud infrastructure
- When analyzing S3 data exfiltration or IAM privilege escalation
- For post-incident forensic timeline reconstruction
Prerequisites
- AWS account with CloudTrail enabled (management and data events)
- IAM permissions for cloudtrail:LookupEvents, s3:GetObject, athena:StartQueryExecution
- boto3 Python SDK installed
- CloudTrail logs delivered to S3 with optional Athena table configured
- AWS CLI configured with appropriate credentials
Workflow
- Scope Investigation: Identify timeframe, affected accounts, and compromised credentials.
- Query CloudTrail: Use boto3 lookup_events or Athena to retrieve relevant API events.
- Filter by Indicators: Search for suspicious user agents, source IPs, and event names.
- Reconstruct Timeline: Build chronological sequence of attacker actions from API calls.
- Analyze Access Patterns: Identify data access, IAM changes, and resource modifications.
- Identify Persistence: Check for new IAM users, access keys, roles, or Lambda functions.
- Generate Report: Produce forensic timeline with findings and remediation steps.
Key Concepts
| Concept |
Description |
| LookupEvents |
CloudTrail API to query management events (last 90 days) |
| Athena Queries |
SQL queries against CloudTrail logs in S3 for historical analysis |
| User Agent Analysis |
Identify tool signatures (AWS CLI, SDK, console, custom) |
| AccessKeyId |
Track activity by specific IAM access key |
| EventName |
AWS API action name (e.g., GetObject, CreateUser, AssumeRole) |
| sourceIPAddress |
Origin IP of API call for geolocation analysis |
Tools & Systems
| Tool |
Purpose |
| boto3 CloudTrail client |
Programmatic CloudTrail event lookup |
| AWS Athena |
SQL-based analysis of CloudTrail S3 logs |
| AWS CLI |
Command-line CloudTrail queries |
| jq |
JSON processing for CloudTrail event parsing |
| CloudTrail Lake |
Advanced event data store with SQL query support |
Output Format
Forensic Report: AWS-IR-[DATE]-[SEQ]
Account: [AWS Account ID]
Timeframe: [Start] to [End]
Compromised Credentials: [Access Key IDs]
Suspicious Events: [Count]
Source IPs: [List of attacker IPs]
Actions Taken: [API calls by attacker]
Data Accessed: [S3 objects, secrets, etc.]
Persistence Mechanisms: [New users, keys, roles]