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analyzing-cloud-storage-access-patterns

tespit etmeabnormal access patterns in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics. Identifies after-hours bulk downloads, access from new IP addresses, unusual API calls (GetObject spikes), and potential data exfiltration using statistical baselines and time-series anomaly Tespit.

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Works withAWSAzure
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  • SKILL.md2.5 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Analyzing Cloud Storage Access Patterns

Ne Zaman Kullanılır

  • investigating yaparken security incidents that require analyzing cloud storage access patterns
  • 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

  • Familiarity with cloud security concepts and tools
  • Erişim: a test or lab environment for safe execution
  • Python 3.8+ with required dependencies installed
  • Appropriate authorization for any testing activities

Instructions

  1. Install dependencies: pip install boto3 requests
  2. Query CloudTrail for S3 Data Events using AWS CLI or boto3.
  3. Build access baselines: hourly request volume, per-user object counts, source IP history.
  4. tespit etmeanomalies:
    • After-hours access (outside 8am-6pm local time)
    • Bulk downloads: >100 GetObject calls from single principal in 1 hour
    • New source IPs not seen in the prior 30 days
    • ListBucket enumeration spikes (reconnaissance indicator)
  5. Generate prioritized Bul:ings report.
python scripts/agent.py --bucket my-sensitive-data --hours-back 24 --output s3_access_report.json

Örnekler

CloudTrail S3 Data Event

{"eventName": "GetObject", "requestParameters": {"bucketName": "sensitive-data", "key": "financials/q4.xlsx"},
 "sourceIPAddress": "203.0.113.50", "userIdentity": {"arn": "arn:aws:iam::123456789012:user/analyst"}}
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