A steganography toolkit for image processing and secure data hiding with modular algorithm injection, designed for research and practical experimentation.
- Image Steganography: Hide and extract data within images securely.
- Algorithm Injection: Plug-and-play architecture for injecting custom algorithms (DCT, DWT, and beyond).
- Image Processing: Includes pre-processing capabilities for optimized data hiding.
- Secure Data Hiding: Supports layered steganography–cryptography workflows.
- Research-Friendly: Designed for testing, benchmarking, and extending new methods easily.
- Video steganography extension.
- Multiple payload injection and extraction workflows.
- Attack simulations (LSB, compression, cropping).
- Steganalysis testbed integration.
- Batch processing for dataset-level testing.
1️⃣ Clone the repository:
git clone https://github.com/thecloudwalkerx/StegLab.git2️⃣ Navigate to the project directory:
cd StegLab3️⃣ Install dependencies (if applicable):
pip install -r requirements.txt
⚠️ This project will provide pre-built Windows executables after stable releases.
- Inject an Algorithm: Place your custom algorithm in the
algorithms/directory following the interface provided. - Run StegLab: Execute the GUI executable or run the main script:
python main.py- Select Image: Load your target image.
- Apply Algorithm: Choose your injection algorithm for embedding or extraction.
- Export Result: Save your processed image with embedded data securely.
🧩 Modular design enables adding, testing, and replacing algorithms without modifying the core structure.
Contributions, algorithm injections, and steganalysis plugins are welcome! Please open an issue first to discuss the feature you wish to contribute.
This project will use the MIT License (or your preferred license here).
- This project serves as a baseline for advanced steganography research and implementation.
- Inspired by modern steganographic and steganalysis research papers for practical academic workflow enhancement.
Happy Hiding! 🕵️♂️🖼️🔐