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Bytesrevealer - Online Reverse Enginerring Viewer

Bytes Revealer is a powerful reverse engineering and binary analysis tool designed for security researchers, forensic analysts, and developers. With features like hex view, visual representation, string extraction, entropy calculation, and…

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Bytes Revealer is a powerful reverse engineering and binary analysis tool designed for security researchers, forensic analysts, and developers. With features like hex view, visual representation, string extraction, entropy calculation, and file signature detection, it helps users uncover hidden data inside files. Whether you are analyzing malware, debugging binaries, or investigating unknown file formats, Bytes Revealer makes it easy to explore, search, and extract valuable information from any binary file.

Bytes Revealer do NOT store any file or data. All analysis is performed in your browser.

Current Limitation: Files less than 50MB can perform all analysis, files bigger up to 1.5GB will only do Visual View and Hex View analysis.


Features

File Analysis

  • Chunked file processing for memory efficiency
  • Real-time progress tracking
  • File signature detection
  • Hash calculations (MD5, SHA-1, SHA-256)
  • Entropy and Bytes Frequency analysis

Multiple Views

File View

  • Basic file information and metadata
  • File signatures detection
  • Hash values
  • Entropy calculation
  • Statistical analysis

Visual View

  • Binary data visualization
  • ASCII or Bytes searching
  • Data distribution view
  • Highlighted pattern matching

Hex View

  • Traditional hex editor interface
  • Byte-level inspection
  • Highlighted pattern matching
  • ASCII representation
  • ASCII or Bytes searching

String Analysis

  • ASCII and UTF-8 string extraction
  • String length analysis
  • String type categorization
  • Advanced filtering and sorting
  • String pattern recognition
  • Export capabilities

Search Capabilities

  • Hex pattern search
  • ASCII/UTF-8 string search
  • Regular expression support
  • Highlighted search results

Technical Details

Built With

  • Vue.js 3
  • Tailwind CSS
  • Web Workers for performance
  • Modern JavaScript APIs

Performance Features

  • Chunked file processing
  • Web Worker implementation
  • Memory optimization
  • Cancelable operations
  • Progress tracking

Getting Started

Prerequisites

# Node.js 14+ is required
node -v

Docker Usage

docker-compose build --no-cache

docker-compose up -d

Now open your browser: http://localhost:8080/

To stop the docker container

docker-compose down

Installation

# Clone the repository
git clone https://github.com/vulnex/bytesrevealer

# Navigate to project directory
cd bytesrevealer

# Install dependencies
npm install

# Start development server
npm run dev

Building for Production

# Build the application
npm run build

# Preview production build
npm run preview

Usage

  1. File Upload
  2. Click "Choose File" or drag and drop a file
  3. Progress bar shows upload and analysis status

  4. Analysis Views

  5. Switch between views using the tab interface
  6. Each view provides different analysis perspectives
  7. Real-time updates as you navigate

  8. Search Functions

  9. Use the search bar for pattern matching
  10. Toggle between hex and string search modes
  11. Results are highlighted in the current view

  12. String Analysis

  13. View extracted strings with type and length
  14. Filter strings by type or content
  15. Sort by various criteria
  16. Export results in multiple formats

Performance Considerations

  • Large files are processed in chunks
  • Web Workers handle intensive operations
  • Memory usage is optimized
  • Operations can be canceled if needed

Browser Compatibility

  • Chrome 80+
  • Firefox 75+
  • Safari 13.1+
  • Edge 80+

Contributing

  1. Fork the project
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Security Considerations

  • All strings are properly escaped
  • Input validation is implemented
  • Memory limits are enforced
  • File size restrictions are in place

Future Enhancements

  • Additional file format support
  • More visualization options
  • Pattern recognition improvements
  • Advanced string analysis features
  • Export/import capabilities
  • Collaboration features


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