steganography-techniques

Detect hidden data in images, audio, files, and text via steganography analysis.

11|4|Updated Jun 7, 2026
One-click install
npx skills add https://github.com/sayseven7/frameseven --skill steganography-techniques-sayseven7
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: steganography-techniques
Source: https://github.com/sayseven7/frameseven/tree/main/internal/mcp/skills/steganography-techniques
Command: npx skills add https://github.com/sayseven7/frameseven --skill steganography-techniques-sayseven7

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you detect, analyze, and extract hidden information embedded inside files when ordinary inspection is not enough. It is designed for cases where images, audio, text, or documents may contain covert payloads, altered structure, or disguised messages.

Core Features & Use Cases

  • Image steganography analysis: Inspect PNG, JPEG, and GIF files for LSB payloads, metadata abuse, palette tricks, hidden chunks, and appended data.
  • Audio steganography analysis: Review spectrograms, detect tone-based encodings, and check for LSB or header anomalies in WAV and related audio files.
  • File and text steganography analysis: Identify polyglots, embedded archives, alternate data streams, whitespace encoding, zero-width characters, and homoglyph substitutions.
  • Use case: A forensic analyst receives a suspicious image or text file and needs a structured workflow to determine whether it contains concealed evidence and how to extract it safely.

Quick Start

Use the steganography-techniques skill to inspect the attached file for hidden content and summarize the most likely extraction path.

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 data embedded in an image file?

To detect hidden data in an image file, you can inspect PNG, JPEG, and GIF formats for LSB payloads, metadata abuse, palette tricks, hidden chunks, and appended data using a structured steganography analysis workflow.

What is the best way to analyze audio files for steganography?

Analyzing audio steganography involves reviewing spectrograms, detecting tone-based encodings, and checking WAV file headers for LSB or header anomalies to uncover concealed payloads.

How do I find hidden messages in text using whitespace or zero-width characters?

Finding hidden messages in text requires identifying whitespace encoding, zero-width characters, and homoglyph substitutions, which disguise covert payloads within standard text documents.

Can I extract concealed content from a file without knowing the passphrase?

Extracting concealed content without a passphrase requires structure validation, entropy and header analysis, and passphrase recovery workflows to safely triage embedded archives and polyglots.

Does steganography analysis work on polyglot files and embedded archives?

Steganography analysis works on polyglot files and embedded archives by applying file-type-specific inspection and structure validation to identify disguised messages and appended data.

When do I need metadata analysis to uncover hidden payloads in suspicious files?

Metadata analysis is needed to uncover hidden payloads when ordinary file inspection is insufficient, allowing forensic analysts to detect altered structures and covert messages in suspicious files.