steganography-techniques

Detect and extract hidden steganography payloads from images, audio, files, and text.

2|Updated May 15, 2026
One-click install
npx skills add https://github.com/lNwNl/Methodos --skill steganography-techniques-lnwnl
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: steganography-techniques
Source: https://github.com/lNwNl/Methodos/tree/main/docker/opencode/skills/steganography-techniques
Command: npx skills add https://github.com/lNwNl/Methodos --skill steganography-techniques-lnwnl

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Hidden steganography payloads are difficult to detect and extract reliably across diverse file formats, so investigators need a structured, repeatable workflow to validate findings and recover embedded content.

Core Features & Use Cases

  • Image steganography detection & extraction: Systematically analyzes PNG/BMP (LSB planes, chunk/text reservoirs, dimension/CRC inconsistencies), JPEG (EXIF and DCT-related methods via steghide/jsteg), and palette-based formats like GIF using purpose-built tooling.
  • Audio steganography analysis: Uses spectrogram inspection and signal-specific decoders (e.g., DTMF/Morse/SSTV) plus WAV header/size sanity checks to reveal appended or encoded data.
  • File & text steganography triage: Identifies polyglots, extracts appended/embedded data (binwalk/foremost/carving), checks NTFS alternate data streams, and extracts text payloads via whitespace, zero-width Unicode, and homoglyph heuristics.
  • Use Case: For a suspected CTF challenge file, run format-appropriate checks (metadata/structure/carving/extraction) to recover the embedded secret while selecting the correct extraction path and passphrase strategy when needed.

Quick Start

Use the steganography-techniques skill to investigate a suspicious file by routing it through image/audio/file/text detection steps described in the playbook and attempting targeted extraction with the recommended tools.

Frequently Asked Questions about steganography-techniques

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect hidden steganography payloads in image and audio files?

Detect hidden steganography payloads by applying format-aware forensic workflows: use zsteg for PNG LSB planes, exiftool for metadata, steghide for JPEG DCT, and audio spectrogram analysis to reveal embedded data across media files.

What is LSB steganography and how do I extract it from a PNG file?

LSB steganography conceals data in least significant bits of pixel values. Extract LSB payloads from PNG files using zsteg to analyze bit planes and chunk text reservoirs, validating dimension and CRC inconsistencies to recover hidden messages.

How do I find hidden messages in whitespace and zero-width Unicode characters?

Find hidden messages in text by applying whitespace, zero-width Unicode, and homoglyph heuristics during file triage. This text steganography analysis extracts invisible payloads encoded within seemingly normal text characters.

Can I use binwalk and foremost for file carving to extract appended data from suspicious files?

Yes, binwalk and foremost perform file carving to identify polyglots and extract appended or embedded data from suspicious files. This triage step recovers hidden payloads appended after standard file structure boundaries.

Does this steganography triage workflow support CTF challenge investigations?

Yes, this steganography triage workflow supports CTF investigations by running format-appropriate checks across metadata, file structure, carving, and extraction. It selects the correct extraction path and passphrase strategy to recover embedded secrets.

What tools extract hidden data from NTFS alternate data streams and file metadata?

Extract hidden data from NTFS alternate data streams and file metadata using exiftool for EXIF analysis and forensic triage workflows. These tools check stream reservoirs and metadata fields to uncover appended or embedded steganography payloads.