# GitHub Repository Metadata

## Short Description
Hide data in images. Catch the rats. 2PAC steganography toolkit with 9 forensic detectors, pixel scattering, reversible data hiding, and image validation.

## Detailed Description
2PAC + RAT Finder is a two-tool steganography toolkit.

**2PAC** hides data inside images using three methods: LSB steganography (stable, ~375 KB per megapixel), pixel scattering (password-seeded permutation that defeats sequential statistical detectors), and reversible data hiding via histogram shifting (original image perfectly restored after extraction). Optional XOR encryption with password protection.

**RAT Finder** catches hidden data and corrupt files. Nine forensic detection techniques: LSB chi-squared, histogram analysis, error level analysis, visual noise, metadata inspection, file size anomalies, trailing data, RS Analysis (Fridrich 2001), and Sample Pair Analysis. Plus multi-step image validation with repair capability for JPEG, PNG, and GIF.

Includes a Gradio web UI with bit-layer visualization (see all 8 bit planes per channel), an interactive CLI builder, and batch processing. Deployed on Hugging Face Spaces.

## Topics
- steganography
- steganalysis
- lsb-steganography
- image-forensics
- data-hiding
- information-security
- image-processing
- corruption-detection
- jpeg-repair
- python-tool
- image-validation
- gradio
- huggingface-spaces
- digital-preservation
- reversible-data-hiding
- histogram-shifting
- rs-analysis
- sample-pair-analysis
- bit-plane-visualization
- cybersecurity-education