ctf-stego — for Claude Code ctf-stego, cybersec-toolkit, community, for Claude Code, ide skills, ai-assistant, ai-hacking, blue-team, bug-bounty, claude-code

v1.0.0

关于此技能

适用场景: Ideal for AI agents that need ctf stego methodology. 本地化技能摘要: Modular bash installer for Linux & Termux with 14 profiles, 18 modules, and an MCP server for AI-assisted ethical hacking. It covers ai-assistant, ai-hacking, blue-team workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

功能特性

CTF stego methodology
CRITICAL — never Read an unvalidated image
Per CLAUDE.md: reading a corrupt image poisons the conversation. Validate first:
run tool("file", "/path/to/image")
run tool("identify", "/path/to/image") # ImageMagick

# 核心主题

26zl 26zl
[2]
[0]
更新于: 4/30/2026

技能概览

先看适用场景、限制条件和安装路径,再决定是否继续深入。

适用场景: Ideal for AI agents that need ctf stego methodology. 本地化技能摘要: Modular bash installer for Linux & Termux with 14 profiles, 18 modules, and an MCP server for AI-assisted ethical hacking. It covers ai-assistant, ai-hacking, blue-team workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

核心价值

推荐说明: ctf-stego helps agents ctf stego methodology. Modular bash installer for Linux & Termux with 14 profiles, 18 modules, and an MCP server for AI-assisted ethical hacking. This AI agent skill supports Claude Code

适用 Agent 类型

适用场景: Ideal for AI agents that need ctf stego methodology.

赋予的主要能力 · ctf-stego

适用任务: Applying CTF stego methodology
适用任务: Applying CRITICAL — never Read an unvalidated image
适用任务: Applying Per CLAUDE.md: reading a corrupt image poisons the conversation. Validate first:

! 使用限制与门槛

  • 限制说明: Only Read the image after both checks pass.
  • 限制说明: Validate first: Only Read the image after both checks pass
  • 限制说明: Requires repository-specific context from the skill documentation

关于来源内容

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

实验室 Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

ctf-stego 是什么?

适用场景: Ideal for AI agents that need ctf stego methodology. 本地化技能摘要: Modular bash installer for Linux & Termux with 14 profiles, 18 modules, and an MCP server for AI-assisted ethical hacking. It covers ai-assistant, ai-hacking, blue-team workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

如何安装 ctf-stego?

运行命令:npx killer-skills add 26zl/cybersec-toolkit/ctf-stego。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

ctf-stego 适用于哪些场景?

典型场景包括:适用任务: Applying CTF stego methodology、适用任务: Applying CRITICAL — never Read an unvalidated image、适用任务: Applying Per CLAUDE.md: reading a corrupt image poisons the conversation. Validate first:。

ctf-stego 支持哪些 IDE 或 Agent?

该技能兼容 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer。可使用 Killer-Skills CLI 一条命令通用安装。

ctf-stego 有哪些限制?

限制说明: Only Read the image after both checks pass.;限制说明: Validate first: Only Read the image after both checks pass;限制说明: Requires repository-specific context from the skill documentation。

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add 26zl/cybersec-toolkit/ctf-stego。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    ctf-stego 已启用,可立即在当前项目中调用。

! 来源说明

此页面仍可作为安装与查阅参考。继续使用前,请结合上方适用场景、限制条件和上游仓库说明一起判断。

Upstream Repository Material

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Upstream Source

ctf-stego

安装 ctf-stego,这是一款面向AI agent workflows and automation的 AI Agent Skill。查看功能、使用场景、限制条件与安装命令。

SKILL.md
Readonly
Upstream Repository Material
The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
Upstream Source

CTF stego methodology

0. CRITICAL — never Read an unvalidated image

Per CLAUDE.md: reading a corrupt image poisons the conversation. Validate first:

bash
1run_tool("file", "/path/to/image") 2run_tool("identify", "/path/to/image") # ImageMagick 3# or run_script: 4# from PIL import Image; img = Image.open(path); print(img.size, img.mode)

Only Read the image after both checks pass.

1. Triage every input

bash
1file <file> 2xxd <file> | head -30 3exiftool <file> # metadata — flag often hides here 4strings <file> | grep -i "ctf\|flag\|key\|pass" | head 5binwalk <file> # multi-file polyglots

Always check metadata first. ~30% of intro stego is just exiftool.

2. Image (PNG / JPG / BMP / GIF)

TechniqueTool / approach
LSB in pixelszsteg (PNG/BMP), stegsolve
EOF data after IEND/EOIbinwalk -e, manual hex
JPG specificsteghide extract -sf <file> (often with empty pass), stegseek for brute
PNG color planesstegsolve (visual layer toggle)
LSB matching, customzsteg -a, then write custom Python with PIL
Polyglot (file with valid headers for multiple formats)binwalk, foremost
File appended after IEND chunk (PNG)pngcheck -v, manual carve
Modified/extra chunkspngcheck -v, pngcsum
Width/height tampering (PNG)edit IHDR width/height, recalc CRC — tweakpng style
bash
1# zsteg covers most LSB cases for PNG/BMP 2zsteg -a image.png 3 4# steghide brute (jpg/wav/bmp) 5stegseek image.jpg rockyou.txt 6 7# Multi-tool sweep 8stegsolve image.png # GUI, manual layer toggle

3. Audio (WAV / MP3 / FLAC / OGG)

TechniqueTool
LSB in sampleswavsteg, custom python
Steghide payloadsteghide, stegseek
Spectrogram (visual hidden in freq domain)audacity view spectrogram, sonic-visualiser
DTMF tonesmultimon-ng -a DTMF, manual tone analysis
Morselisten by ear, then morse-decoder or manual
SSTV (slow-scan TV in audio)qsstv, slowrx
bash
1# Spectrogram via sox 2sox audio.wav -n spectrogram -o spec.png 3# Then validate spec.png before reading (see step 0) 4 5# DTMF 6multimon-ng -a DTMF audio.wav

4. Video / GIF

bash
1# Extract frames 2ffmpeg -i video.mp4 -vf fps=1 frames/frame_%04d.png 3 4# Per-frame stego 5for f in frames/*.png; do zsteg -a "$f" 2>/dev/null | grep -i "flag\|ctf"; done 6 7# Audio track 8ffmpeg -i video.mp4 -vn audio.wav 9# Then audio analysis

5. Text / Unicode

TechniqueTool
Zero-width characterszwsp-steg, manual unicode inspect
Whitespace stegosnow, stegsnow
Homoglyph substitutionunicode normalize + diff
Base-N nested encodingsciphey, manual
Bacon / null ciphermanual + dcode.fr
bash
1# Show every character including invisibles 2python3 -c "import sys; [print(repr(c), hex(ord(c))) for c in open(sys.argv[1]).read()]" file.txt

6. Less common

  • PDF: pdf-parser, peepdf, qpdf --qdf — check streams, annotations, JS, attachments
  • Office docs: oletools (olevba, oleid), oledump, unzip the .docx/.xlsx
  • QR / barcode: zbarimg, zxing — also try partial QR reconstruction
  • DNA/protein sequences: ROT/encoding tricks, decode A/C/G/T as base-4

7. Default workflow

  1. exiftool + strings + binwalk -e always first
  2. If image → zsteg -a (PNG/BMP) OR stegseek (JPG)
  3. If audio → spectrogram view
  4. If nothing obvious → stegsolve GUI for visual analysis
  5. If still nothing → metadata might encode the answer (look at GPS, comment, software field)

8. Don't waste time on

  • LSB scripts when zsteg exists
  • Manually viewing spectrograms in matplotlib when audacity/sonic-visualiser exist
  • Reading the image with Read before validation (see step 0)

After solve

Use the writeup-template skill.

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