zsteg-rs Steganography Analyzer

Example Use Cases

• 1

  Detect hidden messages or data embedded in PNG and BMP images.

• 2

  Extract specific steganographic payloads from images using various bit/channel/order combinations.

• 3

  Detailed image structure and metadata information to assist in steganography analysis.

Description

zsteg-rs is a Rust-based steganography detection tool with a built-in Model Context Protocol (MCP) server. It allows AI assistants to analyze images for hidden data using various detection methods including LSB/MSB analysis, WBStego, OpenStego, and camouflage detection. The MCP server exposes multiple tools for scanning, extracting, and inspecting image metadata, enabling seamless integration with AI workflows. This facilitates automated and detailed steganographic analysis directly from AI agents.