👁️‍🗨️! STEG-Detector is for detecting hidden information in images, audio, and video files. This tool employs statistical analysis, machine learning, and multimedia processing techniques to identify steganography. Features include multi-format support, metadata extraction, and a user-friendly GUI built with Tkinter.

Image Steganography using neural networks and autoencoders in MATLAB

AutoSteg is a Python tool that detects and extracts hidden messages in .jpg/.jpeg images using Steghide. It analyzes specific string output lines (like line 6 and 8) to identify suspicious images. If brute-force is enabled, it automatically tries passwords from a wordlist to decode hidden data.

A simple steganalysis tool for Stegosaurus steganography

CNN-based Steganalysis project with a Streamlit web app to detect hidden data in images.