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
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Scope Investigation: Identify timeframe, affected accounts, and compromised credentials.
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Query CloudTrail: Use boto3 lookup_events or Athena to retrieve relevant API events.
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Filter by Indicators: Search for suspicious user agents, source IPs, and event names.
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Reconstruct Timeline: Build chronological sequence of attacker actions from API calls.
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Analyze Access Patterns: Identify data access, IAM changes, and resource modifications.
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Identify Persistence: Check for new IAM users, access keys, roles, or Lambda functions.
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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]
