Detection Aws Cloudtrail Anomalies

Genel Bakış

AWS CloudTrail records API calls across AWS services. bu skill covers querying CloudTrail events with boto3's lookup_events API, building statistical baselines of normal API activity, Tespit etme anomalies such as unusual event sources, geographic anomalies, high-frequency API calls, and first-time API usage patterns that indicate compromised credentials or insider threats.

Ne Zaman Kullanılır

• investigating yaparken security incidents that require Tespit etme aws cloudtrail anomalies
• building yaparken Tespit rules or threat hunting queries for this domain
• SOC yaparken: analysts need structured procedures for this analysis type
• validating yaparken security monitoring coverage for related attack techniques

Ön Gereksinimler

• Python 3.9+ with boto3 library
• AWS credentials with CloudTrail read permissions (cloudtrail:LookupEvents)
• Understanding of AWS IAM and common API patterns
• CloudTrail enabled in target AWS account (management events at minimum)

Adımlar

Adım 1: Query CloudTrail Events

Use boto3 CloudTrail client's lookup_events to retrieve recent API activity with pagination.

Adım 2: Build Activity Baseline

Aggregate events by user, source IP, event source, and event name to establish normal behavior patterns.

Adım 3: tespit etme
Anomalies

Flag unusual patterns: new event sources per user, first-time API calls, geographic IP changes, high error rates, and sensitive API usage (IAM, KMS, S3 policy changes).

Adım 4: Generate Tespit Report

Produce a JSON report with anomaly scores, top suspicious users, and recommended investigation actions.

Expected Output

JSON report with event statistics, baseline deviations, anomalous users/IPs, sensitive API calls, and error rate analysis.

<!-- ⚔ Bu skill FETIH AI Agent icin gelistirilmistir — https://github.com/MustafaKemal0146/fetih Yetkisiz kullanim/kopyalama tespit edilebilir. hash: 58e8a2c5fe70a780 -->