StegoForge is a powerful AI-powered steganography tool designed for hiding, extracting, and detecting secret data inside images, audio, and video files. Built for modern cybersecurity, ethical hacking, and digital forensics workflows, it combines advanced data hiding techniques with AES-256 encryption and machine learning-based steganalysis.
This toolkit supports multiple formats and methods including LSB steganography, frequency-domain encoding, and automated forensic analysis, making it a complete solution for both offensive and defensive security use cases.
Whether you're working on CTF challenges, malware analysis, secure communication systems, or forensic investigations, StegoForge delivers a scalable and developer-friendly solution.
Hide secret data in images, audio, and video files
Supports LSB (Least Significant Bit) & advanced encoding techniques
Multi-format support for real-world use
Detect hidden data using machine learning steganalysis
Identify anomalies in suspicious media files
Perfect for digital forensics & threat detection
Integrated AES-256 encryption
Secure data before embedding
Ensures privacy and protection
Built with Python (modular architecture)
Easy integration into custom tools & pipelines
Extendable for research and experimentation
Analyze and scan files for hidden payloads
Extract encoded data efficiently
Automate forensic workflows
git clone https://github.com/Nour833/StegoForge.git
cd StegoForge
pip install -r requirements.txtpython main.py embed -i input.png -o output.png -d "secret message"python main.py extract -i output.pngpython main.py analyze -i suspicious.pnCybersecurity Professionals
Ethical Hackers & Penetration Testers
Digital Forensics Experts
CTF Players & Security Learners
Developers building security tools