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Cloud Forensics: Investigating Breaches in AWS, Azure, and GCP Environments

5 min read
Cloud ForensicsIncident InvestigationAWS

Cloud Forensics Challenges

Investigating security incidents in cloud environments differs fundamentally from traditional forensics. Ephemeral resources, shared infrastructure, and distributed architectures create unique challenges for evidence collection and analysis.

Key Differences from Traditional Forensics

AspectTraditionalCloud
EvidencePhysical disk, memoryLogs, snapshots, API records
VolatilityModerateHigh (auto-scaling, containers)
Chain of CustodyPhysical possessionProvider cooperation
TimelineSingle systemDistributed across services
AccessFullLimited by provider

Investigation Framework

1. Preparation

Before incidents occur:

  • Enable comprehensive logging across all services
  • Configure log retention (CloudTrail: 90 days default, extend to 365+)
  • Enable VPC Flow Logs for network forensics
  • Set up cross-account log aggregation

2. Evidence Collection

#### AWS Evidence Sources

  • CloudTrail: API call history (who did what, when)
  • VPC Flow Logs: Network traffic metadata
  • S3 Access Logs: Object-level access records
  • EBS Snapshots: Point-in-time disk images
  • CloudWatch Logs: Application and system logs
  • GuardDuty Findings: Threat detection alerts

#### Snapshot Forensics

# Create snapshot of compromised instance's volume
aws ec2 create-snapshot --volume-id vol-abc123 --description "Forensic-IR-2026-001"

# Mount in forensic analysis instance
aws ec2 create-volume --snapshot-id snap-xyz789 --availability-zone us-east-1a
# Attach to forensic workstation and analyze

3. Timeline Reconstruction

Build a comprehensive timeline from multiple log sources:

2026-02-15 03:14:22 - CloudTrail: ConsoleLogin from unusual IP
2026-02-15 03:14:45 - CloudTrail: DescribeInstances
2026-02-15 03:15:01 - CloudTrail: CreateAccessKey (new key for IAM user)
2026-02-15 03:15:33 - VPC Flow: Large data transfer to external IP
2026-02-15 03:16:01 - CloudTrail: GetSecretValue (database credentials)

4. Analysis

Focus on:

  • Initial access vector: How did the attacker get in?
  • Lateral movement: What resources did they access?
  • Data exfiltration: What data was taken?
  • Persistence: Did they create backdoors?

5. Containment and Recovery

  • Rotate all compromised credentials
  • Isolate affected resources
  • Patch the initial vulnerability
  • Restore from clean backups

Where SuperClue Fits

SuperClue does not read cloud provider logs such as CloudTrail. On cloud VMs where you run the SOC agent, it gives you an incident timeline, 7 days of raw telemetry to search, and a CERT-In report draft for detected breaches.

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