The Digital Forensics Guide repository is a comprehensive, structured reference for investigators, analysts, students, and cybersecurity professionals interested in digital forensics principles, tools, methodologies, and workflows. It organizes foundational topics such as evidence acquisition, disk and memory analysis, file system structures, network forensics, artifact extraction, timeline generation, and reporting into digestible modules that help build core competency. Alongside conceptual explanations, the guide includes practical examples with widely used tools (like Autopsy, Volatility, Sleuth Kit, and network analysis suites), illustrating how investigations proceed from initial data capture to final analysis. The goal is to provide both a learning path and a quick reference for real-world casework, bridging the gap between academic theory and operational practice.

Features

  • Structured content on digital forensics fundamentals and workflows
  • Tool usage examples for disk, memory, and network analysis
  • Practical cheat sheets and investigation checklists for reproducibility
  • Artifact extraction and timeline generation methods
  • Cross-platform tool integration and case examples
  • Resource for training, reference, and real-world incident response

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Python

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Python Education Software

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