Project Overview
With the rapid growth of cybercrime evolving into a global, organized business, digital forensics is no longer a luxury—it's a necessity. Whether you're an individual, a small business, or a large enterprise, having in-house digital forensics capabilities is crucial for identifying, responding to, and recovering from cyber incidents.
However, organizations face significant challenges: the high cost of commercial tools, a shortage of trained professionals, and a lack of structured, accessible guidelines. This handbook addresses those challenges head-on.
Free · Open Source · Vendor-Neutral · Community-Driven
MissionCreate a standardized reference for digital forensics processes using open-source solutions
VisionMake professional DFIR capabilities accessible to every organization regardless of budget
ApproachModular, practical, and adaptable—use individual chapters or integrate into existing workflows
CommunityBuilt on collaboration—contributions welcome from practitioners worldwide
Handbook Contents
| Chapter | Topics Covered | Key Tools |
|---|---|---|
| 1. Introduction to Digital Forensics | Principles, forensic soundness, chain of custody, legal considerations | Documentation, case management templates |
| 2. Setting Up a Forensics Lab | Hardware requirements, isolated environments, VM configurations | VirtualBox, VMware, write blockers |
| 3. Disk Forensics | Imaging, file system analysis, deleted file recovery, artifact extraction | Autopsy, Sleuth Kit, FTK Imager, dd |
| 4. Memory Forensics | RAM acquisition, process analysis, rootkit detection, encryption keys | Volatility, Rekall, LiME, DumpIt |
| 5. Network Forensics | PCAP analysis, protocol dissection, intrusion detection, threat hunting | Wireshark, Zeek, NetworkMiner, tcpdump |
| 6. Cloud Forensics | Cloud evidence acquisition, API-based collection, container forensics | AWS CLI, Azure Tools, Docker, KAPE |
| 7. Email Forensics | Email header analysis, PST/OST extraction, phishing investigation | MailXaminer, Outlook PST Viewer |
| 8. Mobile Device Forensics | Android/iOS acquisition, app data extraction, cloud backups | Magnet Acquire, ADB, libimobiledevice |
| 9. Log & SIEM Analysis | Log aggregation, correlation, timeline construction, detection engineering | ELK Stack, Graylog, Sigma rules |
| 10. Reporting & Documentation | Forensic report structure, expert testimony, chain of custody logs | Templates, case management systems |
| 11. Legal & Compliance Considerations | Admissibility standards, privacy laws, warrant requirements | NIST SP 800-86, ISO 27037 |
| 12. Case Studies & Real-World Scenarios | Ransomware, insider threat, data breach response, litigation support | Practical walkthroughs |
Digital Forensics Domains
Disk ForensicsHDD, SSD, USB drives, RAID. File system analysis, data carving, artifact extraction.
Memory ForensicsRAM contents, running processes, network connections, injected code, encryption keys.
Network ForensicsPacket analysis, traffic reconstruction, intrusion detection, protocol analysis.
Cloud ForensicsMulti-tenant environments, API acquisition, container analysis, SaaS investigations.
Mobile ForensicsSmartphone acquisition, app data extraction, location history, messaging apps.
Email ForensicsMessage headers, SMTP logs, mailbox extraction, phishing analysis, eDiscovery.
Malware AnalysisStatic/dynamic analysis, reverse engineering, behavioral analysis, sandboxing.
Incident ResponseLive response, triage, containment, eradication, recovery, post-mortem analysis.
Open Source Tool Stack
Autopsy / Sleuth KitForensic analysis, disk imaging, file carving, timeline generation
VolatilityMemory forensics, process analysis, rootkit detection
Wireshark / ZeekNetwork analysis, protocol dissection, traffic metadata extraction
KAPE (Kroll Artifact Parser)Rapid triage, artifact collection, automated evidence gathering
FTK ImagerFree disk imaging, memory acquisition, preview capabilities
ELK Stack / GraylogLog aggregation, SIEM capabilities, visualization, correlation
Ghidra / radare2Reverse engineering, malware analysis, disassembly, decompilation
YARA / SigmaPattern matching for malware, cross-platform detection rules
MISP / OpenCTIThreat intelligence platforms, indicator sharing, adversary tracking
Foremost / ScalpelFile carving utilities, data recovery from raw images
Forensics Lab Setup
Hardware RequirementsForensic workstation with write-blocking ports, large storage, high RAM, isolated network
Virtualization EnvironmentVirtualBox or VMware for isolated analysis, snapshots, revertible configurations
Evidence StorageEncrypted storage, write-once media, RAID redundancy, off-site backups
Tool ManagementVersion control for scripts, centralized tool repository, documentation of versions
Quick Start Lab Build
# Ubuntu-based forensic workstation setup
sudo apt update && sudo apt upgrade -y
# Install core forensic tools
sudo apt install -y autopsy sleuthkit wireshark foremost scalpel guymager
# Memory forensics
sudo apt install -y volatility
# Network analysis
sudo apt install -y tcpdump nmap netcat
# Create isolated evidence directory structure
mkdir -p ~/forensics/{cases,images,tools,reports,scripts}
Repository Structure
End-to-End-Digital-Forensics-HandBook/
├── chapters/ # Complete handbook chapters in markdown
├── tools/ # Tool installation guides and configurations
├── workflows/ # Step-by-step investigation procedures
├── scripts/ # Automation scripts for common tasks
├── case-studies/ # Real-world investigation walkthroughs
├── resources/ # Cheat sheets, references, checklists
└── README.md # Project overview and getting started
├── chapters/ # Complete handbook chapters in markdown
├── tools/ # Tool installation guides and configurations
├── workflows/ # Step-by-step investigation procedures
├── scripts/ # Automation scripts for common tasks
├── case-studies/ # Real-world investigation walkthroughs
├── resources/ # Cheat sheets, references, checklists
└── README.md # Project overview and getting started
The handbook is organized for progressive learning—begin with foundational concepts, then explore domain-specific chapters as needed.
Contributing
This handbook is built on community collaboration. Contributions are welcome in many forms:
📝 Content ContributionsNew chapters, tool guides, case studies, practical exercises
🐛 Technical ReviewsTesting procedures, verifying commands, identifying gaps
💡 Ideas & FeedbackChapter suggestions, prioritization input, real-world scenarios
📢 Community BuildingSharing the resource, organizing study groups, mentorship
Get Involved: Open an issue, submit a pull request, or reach out via GitHub discussions.
📚 This is an overview of the End-to-End Digital Forensics Handbook.
Access the Full Handbook on GitHub