performing-cloud-storage-forensic-acquisition

Perform forensic acquisition from cloud storage APIs and local endpoint artifacts.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Cloud security investigations require collecting and correlating evidence from cloud storage services (Google Drive, OneDrive, Dropbox, Box) using both remote API data and local endpoint artifacts. This Skill automates acquisition and analysis to produce a cohesive evidence set.

Core Features & Use Cases

  • API-based acquisition from major cloud providers with metadata preservation and integrity verification.
  • Local endpoint artifact collection to capture cached and synced data, including revision history and sync metadata.
  • End-to-end workflow from enumeration to chain-of-custody reporting, suitable for IR and security assessments.

Quick Start

Instruct the AI to perform a cloud-storage forensic acquisition using both API access and local artifacts, then generate a structured report.

Frequently Asked Questions about performing-cloud-storage-forensic-acquisition

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

FAQPage Schema
How do I collect and preserve evidence from cloud storage services during incident response?

Cloud storage forensic acquisition automates evidence collection from Google Drive, OneDrive, Dropbox, and Box APIs. It preserves metadata, verifies data integrity via SHA-256 hashing, and generates chain-of-custody reports for incident response investigations.

What is the best way to capture local endpoint artifacts for a cloud forensics investigation?

Endpoint artifact collection targets locally cached and synced cloud storage data, capturing revision history and sync metadata. This approach complements remote API acquisition to ensure a cohesive evidence set for security assessments.

Can I use boto3 to acquire forensic evidence from cloud storage APIs?

Yes, the acquisition workflow supports authenticated API access using boto3 and botocore for cloud provider interactions. These dependencies facilitate remote data extraction while maintaining forensic integrity through SHA-256 hashing.

Does cloud storage forensic acquisition support chain-of-custody reporting?

Yes, chain-of-custody reporting is a core feature of the forensic acquisition workflow. It documents the end-to-end process from enumeration to evidence collection, satisfying requirements for incident response and formal investigations.

What is needed to authenticate with cloud storage providers for forensic data collection?

Authenticated access requires credentials for the target cloud storage services, utilizing libraries like msal and requests for API connections. This ensures secure forensic acquisition while preserving metadata and data integrity.

When do I need to collect both API data and local endpoint artifacts for cloud forensics?

Collecting both API data and local endpoint artifacts is necessary when investigations require correlating remote cloud storage evidence with local cached files. This comprehensive approach captures sync metadata and revision history unavailable through remote APIs alone.