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performing-cloud-forensics-with-aws-cloudtrail

Perform forensic investigation of AWS environments using CloudTrail logs to reconstruct attacker activity, identify compromised credentials, and analyze API call patterns.

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Repository
GrayCodeAI/starling
Letzte Quellaktivität
13. Juli 2026 um 09:28
Erkannte Sprache von SKILL.md
Englisch
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2
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0

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
performing-cloud-forensics-with-aws-cloudtrail
description
Perform forensic investigation of AWS environments using CloudTrail logs to reconstruct attacker activity, identify compromised credentials, and analyze API call patterns.
license
MIT
tags
["cloud-security","aws","cloudtrail","forensics","incident-response"]
domain
cybersecurity
subdomain
cloud-security
version
1
author
mahipal
# 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 1. **Scope Investigation**: Identify timeframe, affected accounts, and compromised credentials. 2. **Query CloudTrail**: Use boto3 lookup_events or Athena to retrieve relevant API events. 3. **Filter by Indicators**: Search for suspicious user agents, source IPs, and event names. 4. **Reconstruct Timeline**: Build chronological sequence of attacker actions from API calls. 5. **Analyze Access Patterns**: Identify data access, IAM changes, and resource modifications. 6. **Identify Persistence**: Check for new IAM users, access keys, roles, or Lambda functions. 7. **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] ``` @ref(api-reference.md)
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