Detects steganography in PNG and BMP images to uncover hidden data and provides an MCP server for AI-powered analysis.
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Zsteg is a powerful open-source tool designed to detect and extract hidden data embedded within PNG and BMP image files using various steganographic techniques, including LSB/MSB, WBStego, and several specific formats. Beyond its comprehensive command-line interface, it features a built-in Model Context Protocol (MCP) server, enabling AI assistants to directly interact with its capabilities for automated steganography analysis, data extraction, and image information retrieval.
주요 기능
01Built-in MCP server for direct integration with AI assistants (Claude, GPT, etc.)
02LSB/MSB steganography detection across multiple bit depths and iteration orders
03Detection of WBStego, Zlib streams, SteganographyPNG, OpenStego, and Camouflage formats
04Advanced data extraction mode with customizable parameters
05Comprehensive PNG metadata inspection and image block size analysis
060 GitHub stars
사용 사례
01Automating steganography detection and extraction using AI assistants
02Analyzing images for hidden data in cybersecurity challenges (CTF)
03Inspecting image files for structural details, metadata, and potential appended data
