performing-cloud-forensics-with-aws-cloudtrail

You can investigate suspicious IAM changes by filtering AWS CloudTrail logs via LookupEvents using Username, AccessKeyId, and EventName to trace compromised credentials and reconstruct the attacker's timeline.

CloudTrail log analysis identifies compromised AWS credentials by tracking API call patterns, analyzing source IPs and user agents, and mapping unauthorized actions back to specific AccessKeyIds for incident attribution.

Yes, you can use boto3 to automate CloudTrail incident response across multiple AWS accounts by querying events, detecting unauthorized API calls, and analyzing S3 data access events for forensic investigations.

The best way to reconstruct an attacker timeline from CloudTrail events is to use LookupEvents and optional Athena queries to correlate EventName patterns, source IPs, and AccessKeyIds chronologically for forensic reporting.

Yes, this CloudTrail forensics approach detects unauthorized S3 data access events by analyzing CloudTrail logs to identify suspicious data access patterns and tracking the source IP and user agent associated with the incident.

A limitation of using LookupEvents for AWS cloud forensics is that it only returns recent activity, meaning for deeper historical analysis of attacker patterns across multiple accounts, you must implement optional Athena queries against stored S3 logs.