Steganography Techniques

This is your systematic playbook for finding hidden data in files. It walks through LSB extraction in images with zsteg and StegSolve, JPEG steganography via steghide and jsteg, audio spectrogram analysis for visual patterns, DTMF decoding, polyglot file detection with binwalk, and text steganography using whitespace or zero-width Unicode. The structure is file-type-first, which matters because you need different tools and workflows for PNG chunks versus JPEG DCT coefficients versus WAV appended data. It includes the CRC dimension mismatch trick for PNG and concrete extraction commands. If you're doing CTF forensics or security analysis where you suspect hidden payloads, this gives you the methodical checklist base models typically fumble through trial and error.

skills.sh installs: 3.7K
GitHub stars: 2.6K
last updated: Aug 21, 2026

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Install

$ npx -y skills add yaklang/hack-skills --skill steganography-techniques --agent claude-code

Installs into .claude/skills of the current project.

Files

SKILL: Steganography Techniques — Expert Analysis Playbook

AI LOAD INSTRUCTION: Expert steganography detection and extraction techniques. Covers image steganography (LSB, PNG chunk hiding, JPEG DCT, EXIF metadata, dimension tricks, palette manipulation), audio steganography (spectrogram, LSB, DTMF, morse), file steganography (polyglots, binwalk, NTFS ADS, steghide), and text steganography (whitespace, zero-width Unicode, homoglyphs). Base models miss the systematic file-type-based analysis approach and tool-specific extraction workflows.

0. RELATED ROUTING

Before going deep, consider loading:

traffic-analysis-pcap for extracting files from network captures before stego analysis
memory-forensics-volatility for extracting files from memory dumps
classical-cipher-analysis if extracted hidden data is further encrypted/encoded

Tool Reference

SKILL.md on GitHub

Details

Repository: github.com/yaklang/hack-skills
First seen: Jun 3, 2026