[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6ET98GYYPEWHSS1BAWH1Q7S":3,"skill-same:01M6ET98GYYPEWHSS1BAWH1Q7S":98},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":59,"commitSha":60,"skillDirectory":61,"forksCount":14,"repositoryHtmlUrl":62,"repositoryHomepageUrl":63,"ownerHtmlUrl":64,"ownerBlogUrl":6,"ownerDescription":65,"updatedAt":66,"install":67,"resources":80},"01M6ET98GYYPEWHSS1BAWH1Q7S","detecting-aws-cloudtrail-anomalies",null,"Detect unusual API call patterns in AWS CloudTrail logs using boto3, statistical baselining, and behavioral analysis to identify credential compromise, privilege escalation, and unauthorized resource access.","henriquescastilho\u002Fmy-claude","henriquescastilho","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F153296945?v=4","01M6ESH7EXPXTH9CVQ4K16SRG8","Henrique Scheer","01M6ESH7JHEK2PTNNH4HEH787Z",0,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fhenriquescastilho\u002Fmy-claude\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdetecting-aws-cloudtrail-anomalies\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"cloudtrail","aws","detecting aws cloudtrail anomalies","t1078","detect","id","call","cm","access","api","analysis","baselining","t1098","cybersecurity","boto3","anomaly-detection","escalation","threat-detection","logs","pr","2026-11-10 10:12:30",false,"---\nname: detecting-aws-cloudtrail-anomalies\ndescription: Detect unusual API call patterns in AWS CloudTrail logs using boto3,\n  statistical baselining, and behavioral analysis to identify credential compromise,\n  privilege escalation, and unauthorized resource access.\ndomain: cybersecurity\nsubdomain: cloud-security\ntags:\n- cloud-security\n- aws\n- cloudtrail\n- anomaly-detection\n- threat-detection\n- boto3\nversion: '1.0'\nauthor: mahipal\nlicense: Apache-2.0\nnist_csf:\n- PR.IR-01\n- ID.AM-08\n- GV.SC-06\n- DE.CM-01\nmitre_attack:\n- T1078.004\n- T1580\n- T1538\n- T1098.001\n- T1526\n---\n# Detecting AWS CloudTrail Anomalies\n\n## Overview\n\nAWS CloudTrail records API calls across AWS services. This skill covers querying CloudTrail events with boto3's `lookup_events` API, building statistical baselines of normal API activity, detecting 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.\n\n\n## When to Use\n\n- When investigating security incidents that require detecting aws cloudtrail anomalies\n- When building detection rules or threat hunting queries for this domain\n- When SOC analysts need structured procedures for this analysis type\n- When validating security monitoring coverage for related attack techniques\n\n## Prerequisites\n\n- Python 3.9+ with `boto3` library\n- AWS credentials with CloudTrail read permissions (cloudtrail:LookupEvents)\n- Understanding of AWS IAM and common API patterns\n- CloudTrail enabled in target AWS account (management events at minimum)\n\n## Steps\n\n### Step 1: Query CloudTrail Events\nUse boto3 CloudTrail client's lookup_events to retrieve recent API activity with pagination.\n\n### Step 2: Build Activity Baseline\nAggregate events by user, source IP, event source, and event name to establish normal behavior patterns.\n\n### Step 3: Detect Anomalies\nFlag 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).\n\n### Step 4: Generate Detection Report\nProduce a JSON report with anomaly scores, top suspicious users, and recommended investigation actions.\n\n## Expected Output\n\nJSON report with event statistics, baseline deviations, anomalous users\u002FIPs, sensitive API calls, and error rate analysis.\n","# Detecting AWS CloudTrail Anomalies\n\n## Overview\n\nAWS CloudTrail records API calls across AWS services. 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