Digital Forensics: A Practical Guide to Modern Investigations

From Evidence Acquisition to Advanced Analysis

Introduction: The Digital Crime Scene

1. Why This Book Exists
2. How to Use This Book
3. What You Will Need
4. Tool Version Matrix
5. Managing Tool Version Drift
6. A Note on Ethics and Legality
7. The Road Ahead
8. Running Case Studies

Chapter 1: Foundations of Digital Forensics

1. What Is Digital Forensics (and What It Is Not)
2. The Four Pillars: Identification, Preservation, Analysis, Presentation
3. A Brief History: From Enron to Modern Cybercrime
4. The Investigator’s Mindset: Scientific Method Meets Detective Work
5. Legal Foundations and Admissibility Standards
6. Summary

Chapter 2: Evidence Handling and Chain of Custody

1. Identifying Digital Evidence: Sources, Types, and Prioritization
2. The Chain of Custody Framework
3. The Evidence Acquisition Workflow
4. Write Blockers: Hardware and Software Solutions
5. Forensic Imaging: Bit-by-Bit Copies and Image Formats
6. Hashing and Integrity Verification (MD5, SHA-1, SHA-256, BKA)
7. Troubleshooting and Performance: Imaging Challenges
8. Chain of Custody Field Checklist
9. Summary

Chapter 3: File Systems and Operating System Artifacts

1. NTFS Internals: MFT, USN Journal, $LogFile, and Alternate Data Streams
2. ext4 Forensics: Inodes, Journals, and Extents
3. APFS and HFS+: macOS File System Artifacts
4. Deleted Files, Slack Space, and Unallocated Space Recovery
5. Sleuth Kit and Autopsy: Command-Line File System Analysis
6. Cross-Platform Artifact Comparison Matrix
7. Summary

Chapter 4: Windows Forensic Artifacts

1. Registry Hive Analysis: SAM, SOFTWARE, SYSTEM, and NTUSER.DAT
2. Prefetch, ShimCache, Amcache, and ShellBags
3. Event Log Forensics: EVTX Parsing and Key Event IDs
4. LNK Files, Jump Lists, and Recent File Artifacts
5. Windows Memory Artifacts and Dump Analysis Preparation
6. Summary

Chapter 5: Linux and macOS Forensic Artifacts

1. Shell History, Bash RC Files, and Cron Artifacts
2. Package Manager Logs: APT, YUM, DNF, and Homebrew
3. System Logs: syslog, journalctl, and auth.log Analysis
4. macOS-Specific Artifacts: LaunchDaemons, Spotlight, and Time Machine
5. Container and VM Forensics Considerations
6. Summary

Chapter 6: Memory Forensics

1. The Volatility Framework: Installation and Profile Management
2. Process Tree Analysis and Hollowing Detection
3. Network Connection Extraction from Memory
4. Malware Artifact Discovery: Strings, DLLs, and Code Injection
5. Rekall, MemProcFS, and Commercial Alternatives
6. Troubleshooting and Performance: Volatility 3 Common Issues
7. Summary
8. Memory Acquisition Field Checklist

Chapter 7: Mobile Device Forensics

1. Acquisition Methods: Physical, Logical, File System, and Cloud
2. Open-Source iOS Extraction: libimobiledevice Sequential Workflow
3. iOS Forensics: SQLite Databases, Keychain, and Backup Parsing
4. Android Forensics: ADB, DDMS, and App Data Extraction
5. Cellebrite UFED and Commercial Tool Ecosystems
6. WhatsApp, Signal, and Encrypted Messaging Analysis
7. Mobile Forensics Field Checklist
8. Summary

Chapter 8: Network Forensics

1. Packet Capture Fundamentals: tcpdump, Wireshark, and tshark
2. Zeek (Bro) for Network Forensic Analysis
3. Reconstructing Sessions: HTTP, DNS, SMTP, and TLS
4. Network Timeline Reconstruction
5. KAPE and Velociraptor for Remote Collection
6. Summary

Chapter 9: Cloud and Email Forensics

1. Cloud Forensics Challenges: Ephemeral Infrastructure and Shared Responsibility
2. AWS, Azure, and GCP Artifact Collection
3. Automated Cloud Log Ingestion and Analysis
4. Email Header Analysis and Message Reconstruction
5. Exchange, Gmail, and IMAP/POP3 Forensic Techniques
6. Cloud Logging and SIEM Integration
7. Summary

Chapter 10: Browser Artifacts and Application Forensics

1. Chrome, Firefox, and Edge Artifact Analysis
2. Browser History, Cookies, Cache, and IndexedDB
3. Flash, Java, and Plugin Artifacts
4. Office Document Metadata and Hidden Content
5. Application-Specific Forensics: Discord, Slack, Teams
6. Summary

Chapter 11: Malware Investigation and Incident Response

1. Incident Response Frameworks: NIST, SANS, and ISO 27035
2. Static Analysis: YARA Rules, Strings, and PE Header Examination
3. Dynamic Analysis: Sandboxing and Network Monitoring
4. Memory-Based Malware Detection Techniques
5. Threat Hunting with Sigma Rules and Velociraptor
6. Summary
7. Incident Response Triage Checklist

Chapter 12: Timeline Reconstruction and Log Analysis

1. Plaso (log2timeline) and SuperTimeline Construction
2. MACB Times and File System Timestamps
3. Multi-Source Correlation Techniques
4. Bulk Extractor for Keyword and Pattern Extraction
5. Automated Timeline Generation and Visualization
6. Troubleshooting and Performance: Plaso at Scale
7. Summary

Chapter 13: Anti-Forensics and Countermeasures

1. Data Hiding Techniques: Steganography, Hidden Partitions, and Timestomping
2. Wiping and Destruction Tools: DBAN, shred, and sdelete
3. Anti-Forensics Detection Strategies
4. Rootkits, Bootkits, and Firmware-Level Attacks
5. Living-off-the-Land Binary (LOTL) Investigations
6. Summary

Chapter 14: Forensic Reporting, Legal Issues, and Emerging Trends

1. Writing Defensible Forensic Reports
2. Annotated Sample Forensic Report
3. Expert Testimony and Cross-Examination Preparation
4. Privacy Laws, GDPR, and International Jurisdiction
5. AI-Assisted Investigations: Machine Learning in Forensics
6. AI Admissibility: Current Legal Standards and Validation Requirements
7. The Future: Quantum Computing, IoT, and Next-Generation Challenges
8. Summary

Conclusion: The Investigator’s Path Forward

References