Build a Digital Forensics Toolkit for Data Recovery
Design a forensic analysis toolkit that can recover deleted files, analyze drive structures, extract metadata, and generate reports — aiding in digital investigations and incident response.In cybersecurity and legal investigations, the ability to recover deleted files and analyze storage devices is critical. A toolkit that performs raw disk analysis and file carving helps uncover hidden evidence and supports breach forensics or criminal probes.
This toolkit reads raw disk images, scans for deleted or hidden files, reconstructs fragmented data, and extracts relevant metadata like timestamps, user actions, and file signatures. It also generates tamper-proof forensic reports for evidence presentation.
Deleted File Recovery
Recover accidentally or intentionally deleted files by scanning unallocated disk sectors.
Disk Image Analysis
Support mounting and analysis of raw `.dd` or `.img` files from physical or virtual disks.
Metadata Extraction
Extract creation/modification dates, file signatures, and OS-level traces like last access or deletion events.
Forensic Reporting
Generate exportable HTML/PDF reports with evidence chains and data integrity validation (e.g., hashing).
Users provide a disk image or device path. The toolkit parses file system structures (FAT, NTFS, EXT), scans for deleted entries and slack space, and carves recoverable files based on known headers/footers. All recovered data is stored securely with metadata and optional hash validation.
- Mount or read disk image using read-only mode to ensure data integrity.
- Scan for deleted file entries and file carving opportunities using signatures.
- Recover files, rename them based on content, and hash results (MD5/SHA-256).
- Extract timeline metadata for forensic reconstruction.
- Export a forensic report with integrity checks and chain-of-custody records.
Forensics Libraries
Use Python libraries like `pytsk3` (SleuthKit), `dfvfs`, or `volatility` for file system parsing and memory analysis.
File Carving & Hashing
Custom Python scripts using known file headers/footers, `hashlib` for SHA256/MD5 generation.
UI & Report Generation
Flask or Tkinter for interface; Jinja2 + WeasyPrint for HTML/PDF report creation.
Disk Mounting
Mount disk images using `os`, `loop devices` (Linux), or integrate with `FTK Imager` export formats.
1. Input Disk Image or Device Path
Allow users to load `.img`, `.dd`, or physical disk paths in read-only mode.
2. Scan File System for Deleted Entries
Use forensic file system readers to locate deleted file metadata and content.
3. Recover and Save Files
Recover files from unallocated space or slack and store them with associated metadata.
4. Extract Evidence Metadata
Identify and log timestamps, user actions, system logs, and filesystem anomalies.
5. Generate Secure Report
Compile findings into a tamper-proof, timestamped HTML or PDF report with SHA256 hashes.
Recover Evidence. Reconstruct the Truth.
Build a powerful digital forensics toolkit that helps recover lost data and uncover hidden digital evidence — a critical skill in modern cybersecurity and law enforcement.