Captcha Bypass Methodology logo

Captcha Bypass Methodology

OrganizationPopular
wgpsec
captcha-bypass-methodology

图片验证码/点击式验证码(click captcha)绕过与识别方法论。当目标登录、注册、密码重置、短信发送等接口存在图片验证码、点击验证码、滑块验证码需要绕过或识别时使用。覆盖验证码类型识别、OCR/打码平台识别、点击坐标验证码模拟、验证码逻辑绕过(复用/回显/空值)、频率限制绕过与授权边界

Overview

Publisherwgpsec
RepositoryAboutSecurity
Skill namecaptcha-bypass-methodology
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 Captcha Bypass Methodology 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/captcha-bypass-methodology
  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/captcha-bypass-methodology .claude/skills/captcha-bypass-methodology
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Captcha Bypass Methodology 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 Captcha Bypass Methodology 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 Captcha Bypass Methodology 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.

图片/点击验证码绕过与识别

适用场景

登录、注册、密码重置、短信发送等接口有验证码拦截时使用。

Phase 1: 验证码类型识别

类型特征绕过思路
图片数字/字母4-6 位字符图OCR/打码平台/逻辑绕过
点击式(click captcha)按提示点击图中文字/图形坐标解析+模拟点击
滑块拖拽拼图轨迹模拟/缺口识别
算术/中文直接可读正则提取直接回答

Phase 2: 识别与自动化解法

  1. OCR 识别:tesseract 或打码平台识别图片验证码
  2. 点击式验证码:解析提示文字坐标,按坐标点击(selenium/requests 模拟)
  3. 滑块:识别缺口位置生成拖拽轨迹,绕过前端轨迹校验

Phase 3: 逻辑绕过(优先尝试)

  1. 验证码复用:同一 code 多次使用
  2. 验证码回显:响应/JS 中直接返回
  3. 空值/删除参数:code 置空、删除 captcha 参数
  4. 万能验证码:固定值(如 0000、8888)
  5. 并发绕过:验证码校验后未失效,并发重放
  6. 前端校验:只在 JS 校验,直接调用后端接口绕过

Phase 4: 频率限制绕过

  • 验证码发送/校验接口限频:IP 轮换、参数污染、并发
  • 爆破验证码时注意触发锁定/封禁

授权边界

  • 仅限授权渗透测试
  • 爆破需控制速率,避免影响业务

关联

  • 密码重置/短信验证码逻辑 → password-reset-methodology

Frequently asked questions

What does the Captcha Bypass Methodology AI skill do?

图片验证码/点击式验证码(click captcha)绕过与识别方法论。当目标登录、注册、密码重置、短信发送等接口存在图片验证码、点击验证码、滑块验证码需要绕过或识别时使用。覆盖验证码类型识别、OCR/打码平台识别、点击坐标验证码模拟、验证码逻辑绕过(复用/回显/空值)、频率限制绕过与授权边界

Why use Captcha Bypass Methodology on TypingMind?

Because you install it once and use it with any model. Captcha Bypass Methodology 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 Captcha Bypass Methodology in TypingMind?

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

Which AI models can use Captcha Bypass Methodology?

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 Captcha Bypass Methodology?

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

Is the Captcha Bypass Methodology 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇