Cloud Forensics

ForensicsFree Lesson

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Cloud Forensics

Cloud evidence collection, API forensics, container forensics, and investigation.

Overview

Cloud forensics investigates incidents in cloud environments.

Evidence Sources

SourceProvider
CloudTrailAWS
Activity LogAzure
Audit LogGCP
VPC Flow LogsAWS
NSG FlowAzure

AWS Forensics

# Snapshot EBS volume
aws ec2 create-snapshot \
  --volume-id vol-1234567890abcdef0 \
  --description "Forensic snapshot"

# Create forensic instance
aws ec2 run-instances \
  --image-id ami-forensic \
  --instance-type t3.micro \
  --security-group-ids sg-forensic

# Copy snapshot to forensic account
aws ec2 copy-snapshot \
  --source-region us-east-1 \
  --source-snapshot-id snap-1234567890abcdef0 \
  --destination-region us-west-2

Container Forensics

# Capture container filesystem
docker export container_id > container.tar

# Analyze running container
docker exec -it container_id /bin/sh

# Capture container logs
docker logs container_id > container.log

Evidence Collection

# Cloud evidence collection
def collect_cloud_evidence(account_id):
    evidence = {
        "cloudtrail": get_cloudtrail_logs(account_id),
        "vpc_flow": get_vpc_flow_logs(account_id),
        "config": get_config_history(account_id),
        "guarduty": get_guardduty_findings(account_id)
    }
    return evidence

Investigation Steps

Architecture Diagram
1. Isolate → Contain the incident
2. Collect → Gather cloud evidence
3. Preserve → Secure evidence
4. Analyze → Investigate logs
5. Report → Document findings

Best Practices

  1. Enable logging — CloudTrail, Flow Logs
  2. Automate collection — Lambda functions
  3. Secure storage — Encrypted buckets
  4. Chain of custody — Document everything
  5. Cross-account — Isolate forensics

Practice

Investigate a cloud security incident using AWS CloudTrail logs.

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