Cybersecurity-Projects/PROJECTS/beginner/metadata-scrubber-tool/README.md

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# 🔒 Metadata Scrubber
A privacy-focused CLI tool that removes sensitive metadata from files. Supports images, PDFs, and Microsoft Office documents. Perfect for protecting your privacy before sharing files online.
[![Tests](https://github.com/Heritage-XioN/metadata-scrubber-tool/actions/workflows/test.yml/badge.svg)](https://github.com/Heritage-XioN/metadata-scrubber-tool/actions)
[![Python 3.10+](https://img.shields.io/badge/python-3.10%2B-blue.svg)](https://python.org)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)
## ✨ Features
- **Multi-format support** - Images (JPEG, PNG), PDFs, and Office docs (Word, Excel, PowerPoint)
- **Concurrent processing** - Process 1000+ files efficiently with ThreadPoolExecutor
- **Dry-run mode** - Preview what would be scrubbed without making changes
- **Verification reports** - Before/after comparison to confirm removal
- **Smart format detection** - Uses library-level format detection, not just file extensions
- **Beautiful CLI** - Rich progress bars and formatted output
- **Privacy-first** - Removes GPS coordinates, author info, timestamps, camera data
## 📁 Supported Formats
| Category | Extensions | Metadata Removed |
|----------|------------|------------------|
| **Images** | `.jpg`, `.jpeg`, `.png` | EXIF, GPS, camera info, timestamps |
| **PDF** | `.pdf` | Author, creator, producer, dates |
| **Word** | `.docx` | Author, title, comments, keywords |
| **Excel** | `.xlsx`, `.xlsm`, `.xltx`, `.xltm` | Author, title, company, comments |
| **PowerPoint** | `.pptx`, `.pptm`, `.potx`, `.potm` | Author, title, comments, keywords |
## 🚀 Quick Start
### Installation
```bash
# Using uv (recommended)
uv pip install metadata-scrubber
# Or clone and install locally
git clone https://github.com/Heritage-XioN/metadata-scrubber-tool.git
cd metadata-scrubber-tool
uv sync
```
### Basic Usage
```bash
# Read metadata from a file
mst read document.pdf
# Scrub metadata and save to output folder
mst scrub photo.jpg --output ./cleaned
# Batch process entire folder
mst scrub ./documents -r -ext docx --output ./cleaned
# Verify removal
mst verify original.jpg ./cleaned/processed_original.jpg
```
## 📖 Commands
### `mst read` - View Metadata
Extract and display all embedded metadata from a file.
```bash
mst read photo.jpg # Single file
mst read report.pdf # PDF file
mst read ./docs -r -ext docx # All Word docs recursively
```
**Example output:**
```
╭────────────────── Metadata Report ──────────────────╮
│ ╭────────────────────┬────────────────────────────╮ │
│ │ Property │ Value │ │
│ ├────────────────────┼────────────────────────────┤ │
│ │ 📷 Camera │ │ │
│ │ Make │ Canon │ │
│ │ Model │ Canon EOS 80D │ │
│ │ Software │ Adobe Photoshop │ │
│ ├────────────────────┼────────────────────────────┤ │
│ │ 📍 GPS │ │ │
│ │ GPSLatitude │ 40.7128 │ │
│ │ GPSLongitude │ -74.0060 │ │
│ ├────────────────────┼────────────────────────────┤ │
│ │ 📅 Dates │ │ │
│ │ DateTimeOriginal │ 2024:01:15 14:30:00 │ │
│ │ created │ 2024-01-15 14:30:00 │ │
│ ╰────────────────────┴────────────────────────────╯ │
╰─────────────────────────────────────────────────────╯
```
---
### `mst scrub` - Remove Metadata
Remove sensitive metadata from files and save cleaned copies.
```bash
mst scrub photo.jpg --output ./out # Single file
mst scrub ./photos -r -ext jpg -o ./out # All JPEGs in directory
mst scrub ./docs -r -ext pdf --dry-run # Preview without changes
mst scrub ./files -r -ext xlsx -w 8 # 8 concurrent workers
```
**Example output:**
```
Processing 42 files with 4 workers...
⠸ Scrubbing metadata... ━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 42/42 0:00:12
╭───────────────────── Summary ─────────────────────╮
│ ✅ Processed: 42 │
│ ❌ Failed: 0 │
│ 📁 Output: C:\Users\...\cleaned │
╰───────────────────────────────────────────────────╯
```
**Dry-run example:**
```bash
mst scrub ./photos -r -ext jpg --dry-run
```
```
🔍 DRY-RUN MODE - No files will be modified
Would process 15 files:
• photo1.jpg → processed_photo1.jpg
• photo2.jpg → processed_photo2.jpg
• vacation/beach.jpg → processed_beach.jpg
...
```
---
### `mst verify` - Verify Metadata Removal
Compare original and processed files to confirm sensitive data was removed.
```bash
mst verify original.jpg ./out/processed_original.jpg
```
**Example output:**
```
Comparing: test_canon.jpg → processed_test_canon.jpg
Verification Report
┏━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┓
┃ Property ┃ Before ┃ After ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━┩
│ Make │ Canon │ ✅ Removed │
│ Model │ Canon EOS 80D │ ✅ Removed │
│ Software │ Adobe Photoshop │ ✅ Removed │
│ GPSLatitude │ 40.7128 │ ✅ Removed │
│ GPSLongitude │ -74.0060 │ ✅ Removed │
│ Artist │ John Smith │ ✅ Removed │
│ Copyright │ © 2024 John Smith │ ✅ Removed │
│ DateTimeOriginal │ 2024:01:15 14:30:00 │ ⚪ Preserved │
└─────────────────────────┴──────────────────────────┴────────────────┘
✅ Status: CLEAN - All sensitive metadata removed
Removed: 38 | Preserved: 2
```
---
## ⚙️ CLI Options
| Option | Description |
|--------|-------------|
| `-r`, `--recursive` | Process directories recursively |
| `-ext`, `--extension` | Filter by file extension (jpg, png, pdf, docx, xlsx, pptx) |
| `-o`, `--output` | Output directory for cleaned files |
| `-d`, `--dry-run` | Preview without making changes |
| `-w`, `--workers` | Number of concurrent workers (default: 4, max: 16) |
| `-V`, `--verbose` | Show detailed debug logs |
| `-v`, `--version` | Show version |
---
## 🛠️ Development
### Setup
```bash
git clone https://github.com/Heritage-XioN/metadata-scrubber-tool.git
cd metadata-scrubber-tool
# Install with dev dependencies
uv sync --all-extras
# Run tests
pytest
# Run linting
ruff check .
# Run type checking
mypy src
```
### Project Structure
```
src/
├── main.py # CLI entry point (Typer app)
├── commands/
│ ├── read.py # Read metadata command
│ ├── scrub.py # Scrub metadata command
│ └── verify.py # Verify removal command
├── services/
│ ├── metadata_factory.py # Factory for creating handlers
│ ├── metadata_handler.py # Abstract base class
│ ├── image_handler.py # JPEG/PNG handler
│ ├── pdf_handler.py # PDF handler
│ ├── excel_handler.py # Excel handler
│ ├── powerpoint_handler.py # PowerPoint handler
│ ├── worddoc_handler.py # Word document handler
│ ├── report_generator.py # Verification reports
│ └── batch_processor.py # Concurrent batch processing
└── core/
├── jpeg_metadata.py # JPEG EXIF processor
└── png_metadata.py # PNG metadata processor
docs/
├── metadata-risks.md # Privacy risks documentation
└── best-practices.md # Secure file sharing guide
```
---
## 📚 Documentation
- **[Metadata Risks](docs/metadata-risks.md)** - Why metadata matters for privacy
- **[Best Practices](docs/best-practices.md)** - Guidelines for secure file sharing
---
## ⚠️ Known Limitations
### File Format Support
| Category | Supported | Not Supported |
|----------|-----------|---------------|
| **Images** | JPEG, PNG | TIFF, GIF, HEIC, WebP, RAW |
| **Documents** | `.docx` | Legacy `.doc` |
| **Spreadsheets** | `.xlsx`, `.xlsm`, `.xltx`, `.xltm` | Legacy `.xls` |
| **Presentations** | `.pptx`, `.pptm`, `.potx`, `.potm` | Legacy `.ppt` |
| **PDF** | Standard PDFs | Encrypted/password-protected |
### Known Constraints
- **No in-place editing** - Always creates a processed copy (by design for safety)
- **Password-protected files** - Cannot process encrypted documents
- **PNG metadata** - Many PNGs have minimal/no extractable metadata
- **Embedded files** - Objects embedded in Office documents are not deep-scanned
- **PDF embedded images** - Images inside PDFs retain their original metadata
- **Large files** - Files are loaded into memory; very large files may be slow
### PNG Verification Behavior
When a PNG file has no EXIF metadata (only PngInfo text chunks), the scrub operation removes all text keys. Attempting to verify or read the processed file will show:
```
Error during verification: No metadata found in the PNG image.
```
**This is expected behavior** - the error confirms that all metadata has been successfully removed. You can also use `mst read processed_file.png` to verify; the same error indicates a clean file.
### Potential Enhancements
- HEIC/HEIF support (common on iOS devices)
- Legacy Office format support (`.doc`, `.xls`, `.ppt`)
- Deep scanning of embedded objects
- PDF embedded image metadata stripping
---
## ⚠️ Security Considerations
- **Original files are never modified** - processed copies are created
- **Use `--dry-run`** to preview changes before committing
- **Use `mst verify`** to confirm sensitive data was removed
- **GPS coordinates** are completely stripped for privacy
- **Author information** is removed from all supported formats
- **Always backup files** before scrubbing in production
---
## 📄 License
MIT License - See [LICENSE](LICENSE) for details.
---
Made with ❤️ for privacy