Perform comprehensive forensic analysis of raw (dd), E01, or AFF disk images with Autopsy and The Sleuth Kit, recovering deleted files, examining metadata and embedded artifacts, keyword searching, and building investigation timelines with visual reports. Use for structured analysis of a forensic di

Analyzing Disk Image with Autopsy When to Use When you have a forensic disk image and need structured analysis of its contents During investigations requiring file recovery, keyword searching, and timeline analysis When non technical stakeholders need visual reports from forensic evidence For examining file system metadata, deleted files, and embedded artifacts When building a comprehensive case from multiple disk images Prerequisites Autopsy 4.x installed (Windows) or Autopsy 4.x with The Sleuth Kit (Linux) Forensic disk image in raw (dd), E01 (EnCase), or AFF format Minimum 8GB RAM (16GB recommended for large images) Java Runtime Environment (JRE) 8+ for Autopsy Sufficient disk space for the Autopsy case database (2 3x image size) Hash databases (NSRL, known bad hashes) for file identification Workflow Step 1: Install Autopsy and Configure Environment Step 2: Create a New Case and Add the Disk Image Step 3: Configure and Run Ingest Modules Step 4: Analyze File System and Recover Deleted Files Step 5: Perform Keyword Searches and Tag Evidence Step 6: Build Timeline and Generate Reports Key Concepts Concept Description Ingest Modules Automated analysis plugins that process data sources upon import MFT (Master File Table) NTFS metadata structure recording all file entries and attributes File carving Recovering files from unallocated space using file signatures Hash filtering Using NSRL or custom hash sets to exclude known good or flag known bad files Timeline analysis Chronological reconstruction of file system and user activity events Deleted file recovery Restoring files whose directory entries are removed but data remains Keyword indexing Full text search index built from all file content including slack space Artifact extraction Automated parsing of browser, email, registry, and OS specific artifacts Tools & Systems Tool Purpose Autopsy Open source GUI forensic platform for disk image analysis The Sleuth Kit (TSK) Command line forensic toolkit underlying Autopsy fls List files and directories in a disk image including deleted entries icat Extract file content by inode number from a disk image mactime Generate timeline from TSK bodyfile format mmls Display partition layout of a disk image NSRL NIST hash database for identifying known software files sigfind Search for file signatures at the sector level Common Scenarios Scenario 1: Employee Data Theft Investigation Import the employee workstation image, run all ingest modules, search for company confidential file names and keywords, examine USB connection artifacts in Recent Activity, check for cloud storage client artifacts, review deleted files for evidence of data staging, generate HTML report for legal team. Scenario 2: Malware Infection Forensics Add the compromised system image, enable Extension Mismatch and Encryption Detection modules, examine the prefetch directory for execution evidence, search for known malware hashes, build timeline around the infection window, extract suspicious executables for further analysis in a sandbox. Scenario 3: Child Exploitation Material (CSAM) Investigation Import image with PhotoDNA and Project VIC hash sets enabled, run Picture Analyzer module, hash all image files against known bad databases, tag and categorize matches by severity, generate law enforcement report with chain of custody documentation. Scenario 4: Intellectual Property Dispute Import multiple employee disk images as separate data sources in one case, perform keyword searches for proprietary terms and project names, compare file hashes between sources, build timeline showing file access and transfer patterns, export evidence for legal review. Output Format

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