Autopsy Forensics Lab | Allocated vs Deleted Files Explained Part 2

This video provides a graduate-level walkthrough of Chapter 1, Lab 1-4 (Part 2), continuing the process of extracting allocated (non-deleted) files from a forensic disk image using Autopsy. This walkthrough is provided for educational purposes only. All lab files and scenarios are the property of Cengage and are accessed by students through authorized course materials. In Part 2, we build on the foundational steps covered previously and focus on completing the allocated-file extraction process across all file types within the image. This includes reviewing metadata flags, confirming allocation status, exporting files systematically, and preparing documentation that supports defensible legal discovery. This scenario mirrors real-world litigation support and corporate discovery requests, where examiners are often instructed to extract only currently existing (allocated) files and exclude deleted or recovered artifacts. 🔍 What this lab covers in Part 2: Verifying allocation status using metadata flags Systematically extracting allocated files across file types Understanding icon indicators for allocated vs deleted data Organizing exported evidence for reporting Documenting extracted artifacts in a professional memo Reinforcing scope control in forensic examinations 📁 Lab Focus You are tasked with extracting only allocated files from a forensic image, simulating a discovery request where deleted data is outside the scope of examination. Part 2 ensures all relevant allocated files are identified and exported properly. ⏱ Estimated Time 15 minutes ⚠️ Important Notes Autopsy for Windows is required Mac users should use VMware or VM Fusion with a Windows VM Lab files are provided through authorized academic materials 📘 Textbook Credit Guide to Computer Forensics and Investigations, 7th Edition — Cengage 🔗 Autopsy Resources Download: https://www.autopsy.com/download/ Documentation: https://sleuthkit.org/autopsy/docs/ This walkthrough emphasizes scope discipline, evidentiary accuracy, and defensible extraction practices, which are critical in legal, corporate, and regulatory digital forensic investigations.