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Android Pentest

OrganizationPopular
Netw0rkNoob
android-pentest

安卓应用渗透测试 — APK分析、Hook、自动化测试、运行态驱动、签名恢复、抓包分析

Overview

PublisherNetw0rkNoob
RepositoryVulnClaw
Skill nameandroid-pentest
Stars
3.4K
Forks
454
Bundled files
9
LicenseMIT
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.

  • 9 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Netw0rkNoob on GitHub. Read the source before you install it.

Installation

Install the Android Pentest 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.
  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/Netw0rkNoob/VulnClaw.git /tmp/VulnClaw
mkdir -p .claude/skills
cp -r /tmp/VulnClaw/vulnclaw/skills/specialized/android-pentest .claude/skills/android-pentest
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Android Pentest 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 Android Pentest 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 Android Pentest 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.

安卓应用渗透测试 Skill

针对安卓应用的专项渗透测试,遵循 runtime-first 原则:先运行态驱动、先抓包,最后才逆向。

需要更深入的客户端逆向知识? 使用 client-reverse Skill,包含完整的签名恢复、加密还原、Burp 重放工作流。

核心原则

不要先逆向 APK。默认操作顺序:

  1. 确认目标 App 已安装在连接设备上
  2. 准备好 Burp 或 Charles 抓包
  3. 用 scrcpy_vision 驱动真实业务流程
  4. 每个关键动作后检查抓包状态
  5. 包可见且可重放 → 直接做 Web/API 安全测试
  6. 只有抓不到包/包被加密时 → 升级到 jadx/frida/ida

1. 环境准备

  • 通过 adb-mcp 连接设备/模拟器
  • 通过 jadx 反编译目标 APK
  • 通过 burp-mcp 配置代理抓包

2. 自动化探索

  • 启动 APP,通过 adb-mcp 自动截图
  • 通过 frida-mcp Hook 关键函数
  • 通过 burp-mcp 捕获和分析数据流
  • 自动点击 UI 元素,遍历功能点
  • 模拟用户行为,识别敏感数据流

3. 深度分析

  • 通过 jadx 审计源码(硬编码密钥、弱加密等)
  • 通过 frida 动态 Hook(SSL Pinning 绕过、参数篡改)
  • 通过 burp 修改重放请求(鉴权绕过、越权测试)

4. 漏洞验证

  • 构造恶意输入,验证漏洞
  • 截图记录漏洞证据
  • 生成 PoC

5. 输出

  • 安卓专项渗透报告
  • 包含截图、流量、代码审计结果

参考文档

  • references/android-authorized-app-pentest-sop.md — 安卓 App 渗透 SOP
  • references/android-external-url-runtime-first-workflow.md — 安卓外部 URL 测试
  • references/android-ui-driven-observation-and-packet-loop.md — UI 驱动观察循环
  • references/android-network-layer-testing-quick-reference.md — 网络层测试速查
  • references/android-signing-and-crypto-workflow.md — 签名与加密工作流
  • references/android-static-triage-and-callflow.md — 静态分层与调用链
  • references/android-dynamic-hooking-and-replay.md — 动态 Hook 与重放

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Android Pentest AI skill do?

安卓应用渗透测试 — APK分析、Hook、自动化测试、运行态驱动、签名恢复、抓包分析

Why use Android Pentest on TypingMind?

Because you install it once and use it with any model. Android Pentest 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 Android Pentest in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Netw0rkNoob/VulnClaw/tree/main/vulnclaw/skills/specialized/android-pentest. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Android Pentest?

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 Android Pentest?

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

Is the Android Pentest AI skill free?

Yes. It is published on GitHub by Netw0rkNoob under the MIT license. 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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