steganography-techniques

Steganography detection for images analyzes LSB embedding, PNG chunks, JPEG DCT coefficients, and EXIF metadata. It uses a structured forensic playbook with tool references like zsteg and stegoveritas to systematically uncover hidden payloads.

The best way to extract steganography from WAV or MP3 files is using a structured audio analysis workflow that examines spectrograms, LSB encoding, DTMF signals, Morse code, and SSTV patterns to uncover hidden audio payloads.

Yes, you can detect zero-width characters and whitespace steganography in text files. The workflow includes specific text steganography analysis techniques to uncover hidden data embedded via invisible characters and spacing variations.

Yes, this steganography workflow supports polyglot detection and appended data analysis. It includes file and text steganography workflows to identify hidden channels embedded through file concatenation and polyglot techniques.

For steganography extraction, you need tools like EXIF readers, zsteg, binwalk, and stegoveritas. The workflow relies on a STEGO_TOOLS_GUIDE.md reference for standardized installation and usage patterns during forensic investigations.

You should use a file-type guided decision tree for incident response when you suspect hidden channels or payloads in multimedia files. It standardizes investigations across images, audio, and text formats to ensure systematic forensic coverage.