Performing Cloud Forensics With Aws Cloudtrail
Overview
Cybersecurity skill for performing cloud forensics with aws cloudtrail. Follows industry best practices and security standards.
When to Use
Trigger phrases:
"performing cloud forensics with aws cloudtrail"
"Perform forensic investigation of AWS environments using CloudTrail logs to reco"
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
When NOT to Use
- When you lack proper authorization for testing
- For production systems without change management
- When the task requires legal or compliance expertise beyond technical scope
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
# Example: IOC detection
import re
IOC_PATTERNS = {
"ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
"domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
"hash_md5": r"\b[a-f0-9]{32}\b",
"hash_sha256": r"\b[a-f0-9]{64}\b",
}
def extract_iocs(text: str) -> dict:
return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}
- Plan Operations — Define objectives, scope, and success criteria for cloud forensics operations.
- Prepare Environment — Set up tools, access, and data sources required for cloud forensics.
- Execute Core Workflow — Use aws cloudtrail to perform cloud forensics operations following established procedures.
- Validate Results — Verify that results meet quality standards and objectives.
- Report Findings — Document results, observations, and recommendations.
- Follow Up — Track remediation actions and verify fixes where applicable.
Tools
- aws cloudtrail — Primary tool for this skill
- Analysis Platform — Data processing and visualization
- Collaboration Tools — Team coordination and knowledge sharing
Process
- Reconnaissance — Gather target information, identify attack surface, enumerate services
- Analysis/Exploitation — Execute the technique, analyze results, document findings
- Reporting — Document IOCs, write findings, provide remediation recommendations
Verification
- All cloud forensics procedures executed completely and documented
- Findings validated against multiple data sources
- False positives identified and filtered
- Results documented with evidence and timestamps
- Recommendations provided with risk-based prioritization
Anti-Rationalization Table
| Rationalization | Reality |
|---|---|
| "We are too small to be targeted" | Automated attacks target everyone. Size does not matter. |
| "Security slows us down" | A breach slows you down 100x more. Build security in from the start. |
| "We will fix it after launch" | Vulnerabilities in production are exploited within hours. Fix before deploy. |