detecting-aws-cloudtrail-anomalies

Detect anomalous AWS CloudTrail API activity and output a JSON report.

Updated Apr 23, 2026
One-click install
npx skills add https://github.com/YukiIto1999/ctf-sleuth --skill detecting-aws-cloudtrail-anomalies
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: detecting-aws-cloudtrail-anomalies
Source: https://github.com/YukiIto1999/ctf-sleuth/tree/main/.claude/skills/detecting-aws-cloudtrail-anomalies
Command: npx skills add https://github.com/YukiIto1999/ctf-sleuth --skill detecting-aws-cloudtrail-anomalies

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires boto3, and includes scripts (resource) and references (resource) components.

What problem does it solve?

CloudTrail logs track AWS API activity; this skill helps security teams identify anomalous or potentially malicious API usage by analyzing event patterns and generating actionable findings.

Core Features & Use Cases

  • Query CloudTrail events with boto3 and build a baseline of normal activity per user.
  • Detect anomalies such as unusual sources, first-time API calls, high error rates, or credential-related actions.
  • Produce structured reports to assist incident response and threat hunting.

Quick Start

Run the detector against your AWS account to generate a JSON anomaly report.

Frequently Asked Questions about detecting-aws-cloudtrail-anomalies

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect anomalous AWS CloudTrail API activity for incident response?

Detecting CloudTrail anomalies involves using boto3 to query API events, building a behavioral baseline per user, and outputting a structured JSON report that flags credential misuse, privilege escalation, or unauthorized access.

What types of security anomalies can be found in AWS CloudTrail logs?

CloudTrail logs can reveal unusual source IPs, first-time API calls, high error rates, credential misuse, privilege escalation, and unauthorized access by analyzing event patterns against established user baselines.

Do I need boto3 configured to analyze CloudTrail events for threats?

Yes, boto3 is required and must be configured with valid AWS credentials to query CloudTrail events, build activity baselines, and detect potential security threats within your AWS account.

What is the best way to build a baseline of normal AWS API activity for threat detection?

Building a baseline for threat detection requires querying CloudTrail events via boto3 and analyzing historical API usage patterns per user to establish normal activity profiles before flagging deviations.

How does baselining help identify credential misuse in AWS CloudTrail?

Baselining identifies credential misuse by comparing current API activity against established normal behavior profiles, flagging unusual credential-related actions, unauthorized access attempts, and potential privilege escalation.

What format does the CloudTrail anomaly report output for incident response?

The anomaly report outputs a structured JSON summary containing findings on anomalous API activity, credential misuse, and privilege escalation to support incident response and threat hunting workflows.