Gradus 🔐
A steganography tool that uses histogram shifting techniques to hide encrypted text messages within PNG images. Gradus combines AES encryption with histogram-based data embedding for secure covert communication.
🌟 Features
- Histogram Shifting Steganography: Utilizes peak and zero point detection in image histograms for data embedding
- AES Encryption: Messages are encrypted using AES-256 in EAX mode before embedding
- Multi-channel Distribution: Distributes encrypted data across RGB channels
- Key-based Security: Uses cryptographic keys for both encryption and randomized pixel selection
- Format Validation: Ensures only valid PNG images are processed
- Capacity Analysis: Automatically calculates and reports embedding capacity
- CLI Interface: Simple command-line interface for embedding and extraction
🛠️ Quick Start
Prerequisites
pip install Pillow numpy pycryptodome
Installation
pip install gradus
One-Line Installation
# System-wide (with sudo)
curl -sSL https://raw.githubusercontent.com/kaizoku73/Gradus/main/install.sh | sudo bash
# User installation (no sudo)
curl -sSL https://raw.githubusercontent.com/kaizoku73/Gradus/main/install.sh | bash
Uninstallation
# To uninstall Gradus system-wide (with sudo):
curl -sSL https://raw.githubusercontent.com/kaizoku73/Gradus/main/uninstall.sh | sudo bash
# To uninstall Gradus (no sudo):
curl -sSL https://raw.githubusercontent.com/kaizoku73/Gradus/main/uninstall.sh | bash
Clone Repository
git clone https://github.com/kaizoku73/Gradus.git
cd Gradus
🚀 Usage
Embedding a Message
Hide a secret message in an image:
gradus embed --in "Your secret message here" --cover image.png --key mypassword123
Parameters:
--in: The text message to hide (max 100 characters)--cover: Path to the cover PNG image--key: Password for encryption and randomization
Output: Creates encoded.png with your hidden message
Extracting a Message
Retrieve the hidden message from a steganographic image:
gradus extract --stego encoded.png --key mypassword123
Parameters:
--stego: Path to the image containing hidden data--key: The same password used during embedding
🔬 How It Works
Histogram Shifting Algorithm
- Peak Detection: Finds the peak (most frequent) pixel value in each RGB channel
- Zero Point Detection: Identifies empty histogram bins near the peak
- Pixel Shifting: Shifts pixel values between peak and zero to create embedding space
- Data Distribution: Distributes encrypted payload bits across RGB channels
- Randomized Embedding: Uses key-derived seeds for secure, random pixel selection
Security Features
- AES-256 Encryption: Messages encrypted with AES-EAX mode before embedding
- SHA-256 Key Derivation: Secure key generation from passwords
- Start/End Markers:
HISTOSTARTandHISTO_END!markers for data validation - Randomized Selection: Cryptographically secure pixel position randomization
What is Histogram shift and how does it work?
For a detailed explanation of Histogram shift steganography and how it works, check out this article: https://kaizoku.gitbook.io/steganography/histogram-shift-in-image
🎯 Technical Specifications
- Image Format: PNG only (automatically validates format)
- Color Mode: RGB (auto-converts from other modes)
- Message Limit: 100 characters (padded to 100 bytes)
- Encryption: AES-256-EAX with nonce and authentication tag
- Key Derivation: SHA-256 hash of password
🔍 Algorithm Details
Peak Finding Function
- Finds maximum frequency value (peak) in histogram
- Locates nearest zero-frequency bin for shifting
- Calculates embedding capacity based on peak frequency
Bit Distribution
- Total bits distributed across 3 RGB channels
- Remainder bits allocated to first channels if not evenly divisible
- Each channel processes its allocated bit sequence
Pixel Modification
- Peak pixels (value = u) remain unchanged for '0' bits
- Peak pixels shifted by ±1 (u + shift) for '1' bits
- Non-peak pixels shifted away to maintain histogram integrity
⚠️ Limitations
- Only supports PNG images (validates format before processing)
- Maximum message length: 100 characters
- Requires sufficient histogram peaks for embedding capacity
- Both embedding and extraction require identical keys
- Basic console output (no rich formatting implemented)
🔒 Security Considerations
- Uses AES-256-EAX providing both encryption and authentication
- Key-derived randomization prevents pattern detection
- Start/end markers ensure data integrity
- Password-based key derivation with SHA-256
🤝 Contributing
- Fork the repository
- Create a feature branch (
git checkout -b feature/new-feature) - Commit your changes (
git commit -m 'Add new feature') - Push to the branch (
git push origin feature/new-feature) - Open a Pull Request
📝 License
This project is licensed under the MIT License - see the LICENSE file for details.
🔧 Error Handling
The tool includes comprehensive error handling for:
- Missing or invalid image files
- Non-PNG format images
- Empty or oversized messages
- Insufficient embedding capacity
- Wrong extraction keys
- Corrupted steganographic data
Disclaimer
This tool is for educational and legitimate purposes only. Users are responsible for ensuring compliance with applicable laws and regulations when using steganography techniques.
Made by kaizoku
Metadata
Release files for gradus 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gradus-1.0.1.tar.gz | 8.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gradus-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.9 kB
Release files / gradus-1.0.1.tar.gz
| Download URL | gradus-1.0.1.tar.gz |
|---|---|
| Size | 8.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.13.7
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Release files / gradus-1.0.1-py3-none-any.whl
| Download URL | gradus-1.0.1-py3-none-any.whl |
|---|---|
| Size | 9.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.7
|