StegoScope: Hidden Data Finder

StegoScope is a forensic tool for detecting hidden payloads in files using entropy analysis, string extraction, and future steganography detection methods.

Features

• Calculate file entropy (detect suspiciously high or low randomness).
• Extract printable strings from binary data.
• Flag anomalies that could indicate steganography or encryption.

Usage

python3 stegoscope.py <image file>

Roadmap

Completed

• Project structure created (main script, samples folder, README).
• Entropy calculation added.
• Basic ASCII string extraction added.
• File analysis prints size, entropy, and sample strings.

In Progress

• Implement LSB (least significant bit) detection for PNG/JPEG images.
• Add export options (CSV/JSON for results).
• Improve CLI interface with argparse (custom file input).

Future Ideas

• Add PDF/doc stego detection (metadata + embedded files).
• Integrate YARA rules for detecting common stego payloads.
• Build a simple GUI (Tkinter or web-based dashboard).
• Add OSINT integration (check suspicious file hashes online).