通用逆向分析 KernelSU 模块:手机侧只做原子能力,智能全在 PC 侧(Claude Code + MCP)。仅限授权安全研究与教育用途。
在 Android(KernelSU root)设备上运行的通用逆向能力后端。手机侧只做原子能力(拉包 / 读文件 / 列 so / 注入 hook),所有智能(定位函数、生成 hook、分析结果)都在 PC 侧(Claude Code + MCP)完成。
📌 给 AI agent / 新会话的一页纸速查:AGENTSQUICKSTART.md —— 全部 MCP 工具签名、M5 用法、典型工作流、高频坑,读一篇即可上手。
进度:M1 / M2 / M3 / M4 / M5 均已完成并真机验证(Xiaomi SM8750 / Android 16 / KernelSU + ZygiskNext + LSPosed)。 - M5:通用 Java trace + 实时篡改(LSPosed 模块,tracejava / patchjava)—— 见 m5/README.md、m5/JAVAHOOKPROTOCOL.md。
本项目仅供已获授权的安全研究、CTF、逆向学习与防御性研究使用。使用者须对自己所分析的设备与应用拥有合法授权(自有设备、明确授权的渗透测试、公开的教学样本等)。
禁止将本项目用于未经授权的破解、绕过版权/许可保护、窃取数据、攻击第三方系统或任何违反当地法律的行为。作者不对任何滥用或由此产生的后果负责。继续使用即表示你已理解并接受以上条款。
For authorized security research and educational use only. You are responsible for having proper authorization for any device/app you analyze.
支持两种 AI 客户端:Claude Code(写 ~/.claude.json)与 ChatGPT Codex(写 ~/.codex/config.toml)。默认 both=自动探测:只注册进「已安装」的客户端(Claude 看 ~/.claude.json/~/.claude/,Codex 看 ~/.codex/),没装的那个自动跳过、不建目录;两个都没检测到就只装工具本体、不写任何配置(等你装好客户端再重跑注册,或用 --target 强制写入)。另需 adb(Android platform-tools,连真机用)。
推荐:一行在线安装(Windows,无需 clone 仓库、无需 Python)
自动下载打包好的 MCP exe、解压到 %LOCALAPPDATA%\ReconBridge\、注册进客户端用户级配置,并铺一个 reconbridge skill(逆向类任务时新会话自动加载工作流): - Claude Code → ~/.claude.json 的 mcpServers.reconbridge + skill 到 ~/.claude/skills/ - ChatGPT Codex → ~/.codex/config.toml 的 [mcpservers.reconbridge] + skill 到 ~/.codex/skills/
装完重启对应客户端即用。 exe 内含 MCP server 与核心依赖(含 androguard);jadx / Ghidra 仍为可选反编译工具,解压到 %LOCALAPPDATA%\ReconBridge\tools\ 即被自动探测(toolchainstatus 查看)。 强制只装一个(跳过探测):先设 $env:RBTARGET="codex"(或 "claude")再执行——此时即使目录不存在也会创建。wifi 传输:先设 $env:RBTRANSPORT="wifi"。
From the project README.
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