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UniSteno

Universal Steganography Toolkit

UniSteno is a comprehensive steganography and steganalysis toolkit that automatically detects file types and allows users to analyze, embed, and extract hidden data through a unified web-based GUI (drag-and-drop supported).

The goal of UniSteno is to unify common and advanced steganographic techniques into a single extensible platform for cybersecurity learning, CTF challenges, and digital forensics.


FEATURES

• Automatic file type detection using MIME analysis
• Unified Analyze / Embed / Extract workflow
• Modular plugin-based architecture
• Supports Images, Text, Audio, PDFs, and Videos
• Password-protected PRNG-scattered embedding
• Web-based visualization and analysis dashboard


SUPPORTED MEDIA & CAPABILITIES

IMAGES
Analysis:
• RGB bitplane visualization
• Bitplane histograms
• LSB distribution & entropy analysis
• Chi-square statistical testing
• Suspiciousness scoring

Embedding & Extraction:
• Password-seeded PRNG-scattered LSB embedding
• CRC32 integrity verification
• Original payload filename preserved
• Alpha-safe embedding (transparent pixels preserved)


TEXT FILES
Analysis:
• Zero-width Unicode character detection
• Homoglyph substitution detection
• Entropy-based anomaly detection

Embedding & Extraction:
• Zero-width character based steganography
• Password-protected encoding
• Invisible to normal text rendering


PDF DOCUMENTS
Analysis:
• Metadata inspection
• Appended data detection
• Structural anomaly detection

Embedding & Extraction:
• Payload embedded in unused objects / metadata
• Visual appearance preserved
• Reliable extraction with password validation


AUDIO FILES
Analysis:
• LSB distribution analysis on PCM samples
• Appended data detection
• Spectrogram visualization

Embedding & Extraction:
• LSB-based audio steganography
• PRNG-scattered embedding using password
• Minimal audible distortion
• Payload integrity verification


VIDEO FILES
Analysis:
• RGB and SUPER bitplane visualization
• Frame-wise bitplane inspection
• Statistical anomaly detection

Embedding & Extraction (Optimized):
• Only the FIRST video frame is used for embedding
• Image-style PRNG-scattered LSB embedding
• Remaining frames remain unchanged
• First frame stitched back into the video
• Extremely fast embed and extract
• Secure even if attacker knows the first-frame strategy


PLUGIN SYSTEM

Each analyzer or steganography method is implemented as a standalone plugin.

• Plugins are auto-discovered from the plugins/ directory
• No core server modification required
• Each plugin may implement:

  • analyze()
  • embed()
  • extract()

TECHNOLOGY STACK

Backend:
• Python
• Flask
• NumPy
• Pillow
• SciPy
• PyPDF2
• python-magic / python-magic-bin (Windows)
• pydub
• matplotlib

Frontend:
• HTML5
• CSS3
• Bootstrap 5
• Vanilla JavaScript


PROJECT STRUCTURE

Unisteno/
├── server.py
├── index.html
├── static/
│   ├── css/
│   │   └── solve.css
│   ├── img/
│   │   └── logo.svg
│   └── js/
│       └── solve.js
├── plugins/
│   ├── __init__.py
│   ├── image_lsb_advanced.py
│   ├── image_lsb_stego.py
│   ├── image_bitplane_visualizer.py
│   ├── image_bitplane_superimposed.py
│   ├── text_stego_analyzer.py
│   ├── text_lsb_stego.py
│   ├── audio_lsb_analyzer.py
│   ├── audio_lsb_stego.py
│   ├── audio_spectrogram_visualizer.py
│   ├── video_bitplane_visualizer.py
│   ├── video_lsb_analyzer.py
│   └── video_lsb_stego.py
├── uploads/
├── requirements.txt
├── README.md
└── .gitignore

SETUP & RUNNING

  1. Clone the repository
    git clone
    cd UniSteno

  2. Install dependencies
    pip install -r requirements.txt

  3. Run the server
    python server.py

  4. Open in browser
    http://127.0.0.1:5000


USAGE

Analyze:
• Upload a file
• Select Analyze
• View metadata, statistics, visualizations, and scores

Embed:
• Upload a cover file
• Select Embed
• Choose payload file
• (Optional) Enter password
• Download embedded output

Extract:
• Upload embedded file
• Select Extract
• Enter password
• Payload downloads with original filename


About

UniSteno is a universal steganography toolkit that automatically detects file types (images, audio, video, documents, etc.) and applies targeted steganalysis-LSB checks, statistical tests, metadata anomalies, and appended data detection. It supports embedding/extraction across dozens of methods, features a plugin system for new algorithms.

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