隐写术技术

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隐写术技术专用技能,帮助AI Agent高效完成相关任务。

一句话选型结论

按资料字段整理

隐写术技术是AI 工具类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类AI 工具 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_3c6cb52e/steganography-techniques-k9cm
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

AI 工具
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_3c6cb52e仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791674888
正文体量11.0 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
组合多个 AI 能力

把写作、检索、总结串成一条流程。

搭工作流

把固定流程做成可重复调用的步骤。

做提示词与评测

整理提示词并对比输出效果。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在AI 工具场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
隐写术技术当前 未标注权限 未标注 未标注 未标注 有
执行计划 只读 GitHub 仓库 151.5 万 Codex、Claude、Cursor 有
Playwright MCP 测试 浏览器控制 ClawHub 市场 136.5 万 OpenClaw 有
完成前的验证 未标注权限 GitHub 仓库 131.9 万 Codex、Claude、Cursor 有
子 Agent 驱动开发 只读 GitHub 仓库 131.2 万 Codex、Claude、Cursor 有
前端设计 执行命令 GitHub 仓库 125.6 万 Codex、Claude、Cursor 有

SKILL.md 全文

11.0 KB
模型实际读到的说明书原文,来自技能仓库

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

Also load STEGO_TOOLS_GUIDE.md when you need:
- Tool installation instructions and dependencies
- Detailed command reference for each stego tool
- Workflow patterns for specific file types


1. IMAGE STEGANOGRAPHY

LSB (Least Significant Bit)

LSB embeds data in the least significant bits of pixel color channels.

# zsteg — LSB analysis for PNG/BMP
zsteg image.png                       # auto-detect all LSB patterns
zsteg image.png -a                    # try all known methods
zsteg image.png -b 1                  # extract bit plane 1
zsteg image.png -E "b1,rgb,lsb,xy"   # specific extraction pattern

# StegSolve (Java GUI)
java -jar StegSolve.jar
# Navigate color planes: Red 0, Green 0, Blue 0 → look for hidden image/text
# Data Extractor: specify bit planes + byte order

# stegoveritas — comprehensive automated analysis
stegoveritas image.png
# Runs: exiftool, binwalk, zsteg, foremost, color plane extraction

PNG Specific

# pngcheck — validate structure, find hidden chunks
pngcheck -v image.png

# Hidden chunks: tEXt, zTXt (compressed text), iTXt (international text)
# Custom/private chunks may contain hidden data

# CRC vs dimensions trick
# If CRC doesn't match declared dimensions → image was cropped
# Fix: brute-force correct width/height → reveals hidden rows/columns
python3 -c "
import struct, zlib
with open('image.png','rb') as f:
    data = f.read()
# Check IHDR CRC at offset 29
ihdr = data[12:29]
for h in range(1,2000):
    for w in range(1,2000):
        new_ihdr = struct.pack('>II',w,h) + ihdr[8:]
        if zlib.crc32(b'IHDR'+new_ihdr) & 0xffffffff == struct.unpack('>I',data[29:33])[0]:
            print(f'Width: {w}, Height: {h}')
"

# APNG (animated PNG) — hidden frames
# Use apngdis to extract all frames: apngdis image.png

JPEG Specific

# steghide — embed/extract from JPEG (DCT coefficient modification)
steghide extract -sf image.jpg                 # extract (no passphrase)
steghide extract -sf image.jpg -p PASSWORD     # extract with passphrase
steghide info image.jpg                        # check if data is embedded

# stegcracker — brute force steghide passphrase
stegcracker image.jpg wordlist.txt

# jsteg — JPEG LSB steganography
jsteg reveal image.jpg output.txt

# JPEG structure analysis
exiftool -v3 image.jpg       # verbose metadata + structure
jpegdump image.jpg           # raw JPEG marker analysis

EXIF Metadata

# exiftool — comprehensive metadata extraction
exiftool image.jpg
exiftool -b -ThumbnailImage image.jpg > thumb.jpg   # extract thumbnail
exiftool -all= image.jpg                             # strip all metadata

# Hidden data in EXIF fields (comment, artist, copyright, etc.)
exiftool -Comment image.jpg
exiftool -UserComment image.jpg
strings image.jpg | grep -i "flag\|key\|secret"

Palette-Based (GIF)

# GIF color table manipulation — data in color palette order
gifsicle -I image.gif                    # info
gifsicle --color-info image.gif          # palette details
# Check for animation frames: convert -coalesce image.gif frame_%d.png

2. AUDIO STEGANOGRAPHY

Spectrogram Analysis

# Sonic Visualiser — best for spectrogram viewing
# Layer → Add Spectrogram → look for visual patterns (text/images)

# Audacity
# Analyze → Plot Spectrum
# Select audio → change view to Spectrogram

# sox for command-line spectrogram generation
sox audio.wav -n spectrogram -o spectro.png

Audio LSB

# DeepSound — hide/extract files in audio (Windows)
# GUI tool: open audio file → extract hidden files

# WavSteg — LSB in WAV files
python3 WavSteg.py -r -i audio.wav -o output.txt -n 1   # extract 1 LSB
python3 WavSteg.py -r -i audio.wav -o output.txt -n 2   # extract 2 LSBs

DTMF / Morse Code

# DTMF decoder (phone tones)
multimon-ng -t wav -a DTMF audio.wav

# Morse code
# Audacity → visual inspection of on/off pattern
# Online decoder or manual: .- = A, -... = B, etc.

# SSTV (Slow-Scan Television) — image in audio
qsstv                    # GUI decoder
# Or: RX-SSTV (Windows)

WAV Header Manipulation

# Check for data appended after WAV audio data
# WAV data chunk size vs actual file size
python3 -c "
import wave
w = wave.open('audio.wav','rb')
print(f'Frames: {w.getnframes()}, Channels: {w.getnchannels()}, Width: {w.getsampwidth()}')
expected = w.getnframes() * w.getnchannels() * w.getsampwidth() + 44  # 44 = WAV header
import os
actual = os.path.getsize('audio.wav')
if actual > expected:
    print(f'Extra data: {actual - expected} bytes appended')
"

3. FILE STEGANOGRAPHY

Polyglot Files

A single file that is valid in two or more formats simultaneously.

# Detection: check file with multiple tools
file suspicious_file
xxd suspicious_file | head          # check magic bytes
binwalk suspicious_file             # find embedded files

# Common polyglots: PDF+ZIP, JPEG+ZIP, JPEG+RAR, PNG+ZIP
# Try unzip on image files:
unzip image.jpg -d extracted/
7z x image.jpg -oextracted/

Appended / Embedded Data

# binwalk — scan for embedded files and data
binwalk image.png                   # scan
binwalk -e image.png                # extract embedded files
binwalk --dd='.*' image.png         # extract everything

# foremost — file carving
foremost -i suspicious_file -o output_dir/

# dd — manual extraction
# If binwalk shows embedded ZIP at offset 0x1234:
dd if=suspicious_file bs=1 skip=$((0x1234)) of=extracted.zip

NTFS Alternate Data Streams (ADS)

:: List ADS (Windows)
dir /r file.txt
Get-Item file.txt -Stream *

:: Read hidden stream
more < file.txt:hidden_stream
Get-Content file.txt -Stream hidden_stream

:: Create ADS (for testing)
echo "hidden data" > file.txt:secret

Steghide Brute Force

# stegcracker — wordlist attack on steghide passphrase
stegcracker image.jpg /usr/share/wordlists/rockyou.txt

# stegseek — faster alternative
stegseek image.jpg /usr/share/wordlists/rockyou.txt
# stegseek is ~10000x faster than stegcracker

4. TEXT STEGANOGRAPHY

Whitespace Encoding

# Tabs and spaces encode binary (tab=1, space=0 or vice versa)
# stegsnow — whitespace steganography
stegsnow -C message.txt                # extract hidden message
stegsnow -C -p PASSWORD message.txt    # extract with password

# Manual detection:
cat -A file.txt | head     # show tabs (^I) and line endings ($)
xxd file.txt | grep "09 20\|20 09"    # look for tab/space patterns

Zero-Width Characters

# Unicode invisible characters used for encoding:
# U+200B (Zero-Width Space), U+200C (ZWNJ), U+200D (ZWJ), U+FEFF (BOM)

# Detection:
python3 -c "
text = open('message.txt','r').read()
hidden = [c for c in text if ord(c) in [0x200b, 0x200c, 0x200d, 0xfeff]]
print(f'Found {len(hidden)} zero-width characters')
binary = ''.join('0' if ord(c)==0x200b else '1' for c in hidden)
# Convert binary to ASCII
"

# Online tools: holloway.nz/steg, Unicode Steganography decoders

Homoglyph Substitution

# Visually identical characters from different Unicode blocks
# e.g., Latin 'a' (U+0061) vs Cyrillic 'а' (U+0430)

# Detection:
python3 -c "
text = open('message.txt','r').read()
for i, c in enumerate(text):
    if ord(c) > 127:
        print(f'Position {i}: char={c} ord={ord(c)} name={__import__(\"unicodedata\").name(c,\"?\")}')
"

5. DECISION TREE

Suspect hidden data — what file type?
│
├── Image (PNG/BMP)?
│   ├── Check metadata: exiftool (§1 EXIF)
│   ├── Check structure: pngcheck, binwalk (§1 PNG)
│   ├── LSB analysis: zsteg, StegSolve (§1 LSB)
│   ├── Check dimensions vs CRC: height/width brute force (§1 PNG)
│   ├── Check for appended data: binwalk -e (§3)
│   └── Try as polyglot: unzip/7z (§3)
│
├── Image (JPEG)?
│   ├── Check metadata: exiftool (§1 EXIF)
│   ├── Try steghide: steghide extract (§1 JPEG)
│   │   └── Password protected? → stegseek brute force (§3)
│   ├── Try jsteg: jsteg reveal (§1 JPEG)
│   ├── Check for appended data: binwalk -e (§3)
│   └── Check thumbnail: exiftool -b -ThumbnailImage (§1 EXIF)
│
├── Image (GIF)?
│   ├── Check frames: extract all animation frames (§1 Palette)
│   ├── Check palette: gifsicle --color-info (§1 Palette)
│   └── Check for appended data: binwalk -e (§3)
│
├── Audio (WAV/MP3/FLAC)?
│   ├── Spectrogram: Sonic Visualiser / Audacity (§2)
│   ├── LSB: WavSteg (§2)
│   ├── DTMF tones: multimon-ng (§2)
│   ├── Morse code: manual or decoder (§2)
│   ├── SSTV: qsstv (§2)
│   └── Check file size vs expected: header analysis (§2)
│
├── Text file?
│   ├── Check whitespace: cat -A, stegsnow (§4)
│   ├── Check zero-width chars: Unicode analysis (§4)
│   ├── Check homoglyphs: non-ASCII detection (§4)
│   └── Check encoding: multiple base decodings
│
├── Any file type?
│   ├── strings: strings -n 8 file | grep -i "flag\|key\|pass"
│   ├── binwalk: binwalk -e file (embedded files) (§3)
│   ├── file: file suspicious_file (true type)
│   ├── xxd: check magic bytes, compare headers
│   └── NTFS? → check ADS: dir /r (§3)
│
└── Password/passphrase needed?
    ├── steghide → stegseek / stegcracker (§3)
    ├── Check challenge description for hints
    └── Try common passwords: password, file name, challenge name

常见问题

5 问
答案由本站依据条目字段整理
隐写术技术怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_3c6cb52e/steganography-techniques-k9cm。安装方式为未标注。装完刷新技能列表或重开客户端。

隐写术技术支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

隐写术技术权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

隐写术技术收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

隐写术技术用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。