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Dotnet Reverse

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zhaoxuya520
dotnet-reverse

.NET / C# 二进制逆向。当目标是 .NET assembly(PE 头含 CLR、.exe/.dll 托管程序)、C# 编译产物(含 NativeAOT)、红队 Sharp* 工具(Rubeus / SharpHound / SharpHound 等)、.NET 混淆程序(ConfuserEx / SmartAssembly / Babel / Eazfuscator)、.NET loader / info-stealer / 套壳 malware 时使用。优先用 dnSpyEx + de4dot,需要 AI 直接操作时联动 dnSpy MCP。不用于纯 native 二进制(走 reverse-engineering / ida-reverse)。

Overview

Publisherzhaoxuya520
Repositoryreverse-skill
Skill namedotnet-reverse
Stars
36.3K
Forks
5K
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

    Published by zhaoxuya520 on GitHub. Read the source before you install it.

Installation

Install the Dotnet Reverse 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/zhaoxuya520/reverse-skill.git /tmp/reverse-skill
mkdir -p .claude/skills
cp -r /tmp/reverse-skill/skills/dotnet-reverse .claude/skills/dotnet-reverse
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dotnet Reverse 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 Dotnet Reverse 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 Dotnet Reverse 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.

.NET / C# 逆向作业规范

ACTION REQUIRED(读完立刻执行)

  1. NOW: 用 DIE/file/CLR 头确认目标是 .NET 托管(否则 SWITCH 到 ida-reverse/ / reverse-engineering/
  2. NOW: 若疑似混淆 → 先 de4dot 脱壳,产出 *-clean.exe,保留原始样本
  3. NEXT: dnSpyEx(或 dnSpy MCP / ilspycmd)静态:C# 浏览 + IL 视图看关键判断
  4. ACT: 需要明文/C2 时动态调试;需要改逻辑时 IL patch 优先于 C# 重编译
  5. 阶段结束给用户 3–6 项下一步菜单(含导出报告)

适用范围

当任务属于以下场景时优先使用本 skill:

  • 识别并逆向 .NET / C# 编译产物(托管 PE / .exe / .dll)
  • 分析红队 Sharp* 工具链(Rubeus、SharpHound、SharpShell 等)
  • 脱混淆 ConfuserEx / SmartAssembly / Babel / Eazfuscator / .NET Reactor 等壳
  • 逆向 .NET loader / info-stealer / RAT 的解密与 C2 逻辑
  • 对 C# 程序做 patch(改判断、改常量、keygen)
  • 分析 IL2CPP 之前的 Mono/Unity 托管层(注意:IL2CPP 编译后是 native,走 reverse-engineering/ + seed-014)

如果目标是纯 native 二进制(C/C++/Go/Rust 编译、无 CLR),请改用 reverse-engineering/ida-reverse/radare2/

核心原则

  • 先识别再下手:先确认是 .NET 托管程序(PE 头 CLR + #~ / #Strings 流 + mscoree _CorExeMain),再决定走 dnSpy 而非 IDA
  • IL 优先于 C#:dnSpyEx 的 C# 反编译器会丢失/扭曲信息(编译器生成的状态机、async/await、yield),关键判断与 patch 必须切到 IL 编辑器,C# 视图只用于快速浏览
  • de4dot 先行:遇到混淆器先 de4dot 脱一轮再做静态分析,否则字符串/控制流全是乱的
  • MCP 联动:环境里若注册了 dnSpy MCP(dnspy_* 工具),优先走 MCP 面做 decompile / IL inspection,避免来回切 GUI
  • 证据化输出:脱混淆产物、提取的配置/C2/key、patch diff 都要落盘

工具链映射

能力首选备注
反编译 + 调试 + patchdnSpyEx王牌,唯一带 IL 编辑器的 GUI;老 dnSpy 已停更,用 Ex 分支
轻量 CLI / headless 反编译ILSpy (ilspycmd)适合批量、脚本化、Linux/macOS
脱混淆de4dotConfuserEx 全家桶、SmartAssembly 等主流壳的默认解
混淆器识别Detect It Easy (DIE) / file先判断壳类型再决定 de4dot 参数
编程化操作 ILdnlib写 C# 脚本批量改 metadata / 字符串解密器
AI 直接操作dnSpy MCPdnspy_decompile / dnspy_inspect_il 等工具面

前置:Windows 主机装 dnSpyEx + de4dot(choco 或 release);Linux/macOS 用 ilspycmd + dotnet runtime。详见 references/sharp-tools.md 的安装矩阵。

六阶段工作流

1. Identify(识别 .NET)

确认目标是托管程序,别把 native PE 当 .NET 分析:

powershell
# Windows
file target.exe                       # "PE32 executable ... for MS Windows" 不够
# 关键:看有没有 CLR
powershell -c "[System.Reflection.AssemblyName]::GetAssemblyName('target.exe')"
# 或
dnSpyEx 直接拖进去 —— 能打开就是托管

# 通用
strings target.exe | grep -iE "mscoree|_CorExeMain|mscorlib|System\\."

.NET 识别标志:

  • PE 头 Data Directory[14] (CLR Runtime Header) 非零
  • mscoree.dll 导入 / _CorExeMain 入口
  • #~#Strings#US#GUID#Blob metadata 流
  • mscorlib / System.Private.CoreLib 字符串

NativeAOT 例外: 编译成 native,没有 CLR 头,但有 System.Private.CoreLib 字符串和重构过的类型元数据 —— 这类走 reverse-engineering/(IDA/r2),本 skill 仅做识别提示。

2. Detect(检测混淆器)

powershell
# DIE 快速识别
diec target.exe                        # Detect It Easy CLI
# 或拖进 dnSpyEx,看是否大量乱码类名 / 控制流变形

常见混淆器 → 脱壳策略(详见 references/obfuscators.md):

混淆器特征de4dot 处理
ConfuserEx (1.0.0 / 2.x)<module> anti-tamper、控制流变形、字符串加密de4dot target.exe 通常自动识别
SmartAssemblycircular/string encoding、资源压缩de4dot target.exe
Babel.NET方法体加密、控制流de4dot target.exe
Eazfuscator.NET字符串/资源加密de4dot,部分版本需手动
.NET Reactoranti-tamper + necrobitde4dot,新版可能失败需手动

3. Deobfuscate(脱混淆)

powershell
# de4dot 默认自动识别大多数壳
de4dot target.exe -o target-clean.exe

# 指定类型(自动识别失败时)
de4dot --type cfze target.exe          # ConfuserEx
de4dot --type sa target.exe            # SmartAssembly

# 多层混淆 / de4dot 报 unknown
de4dot --detect target.exe             # 看它识别成什么
# 可能要先 patch anti-tamper 再 de4dot(见 references/obfuscators.md)

产出:target-clean.exe,后续分析用它。保留原始样本做对照。

4. Static Analyze(静态分析)

dnSpyEx 加载脱壳后样本:

  • C# 视图:快速浏览类结构、方法签名、字符串(用于定位)
  • IL 视图:关键判断、加密逻辑、状态机必须看 IL(右键 → Edit IL 或 IL 视图)
  • 找入口:Main / Startup / 模块初始化器 (Module .cctor)
  • 找关键逻辑:搜 flagpasswordverifycheckencrypthttpConfig
text
定位字符串 → 反向引用 → 找到使用它的方法 → IL 视图看判断逻辑

5. Dynamic(动态调试)

dnSpyEx 调试器:附加进程 / 启动调试,在关键方法下断点,观察运行时:

  • 解密后的明文字符串(很多混淆器的字符串在运行时才解密)
  • C2 地址、配置解密结果
  • 异常驱动的控制流(anti-debug 常用 try/catch 隐藏真实路径)

.NET 动态调试比 native 友好得多 —— 能直接看到对象值、字符串内容。优先动态而非死磕静态。

6. Patch(按需修改)

text
dnSpyEx → 右键方法 → Edit Method (C#) 或 Edit IL
  - 改判断:ldc.i4.0 → ldc.i4.1(false→true)
  - 改常量:直接编辑字符串/数字
  - 删除校验:nop 掉整段
File → Save Module → 替换原文件

IL patch 可靠性 > C# patch:C# 重编译可能失败(缺引用、语法不对),IL 编辑几乎不会失真。详见 references/common-workflow.md

触发场景路由

用户说这些时进入本 skill:

  • ".NET / C# 二进制逆向" / "C# 程序反编译"
  • "dnSpy 分析" / "dnSpyEx patch"
  • "ConfuserEx / SmartAssembly / Babel 脱混淆 / 脱壳"
  • "Sharp* 工具分析"(Rubeus / SharpHound / SharpShell)
  • ".NET malware / loader / info-stealer 逆向"
  • "C# 程序 patch / keygen / 修改判断"

何时切出

  • IL2CPP 编译的 Unity 游戏 → reverse-engineering/ + seed-014_unity-il2cpp-reverse.md(IL2CPP 是 native,不走 dnSpy)
  • NativeAOT 产物 → reverse-engineering/(同上,native)
  • 纯 native PE(无 CLR)→ reverse-engineering/ / ida-reverse/
  • 需要符号/函数批量迁移到别的版本 → binary-diff/
  • 需要画攻击路径 / 调用链图 → diagram-generator/

路由上下文

上游入口: skills/SKILL.md(总控)、routing.md 下游出口:

  • IL2CPP / NativeAOT(native)→ reverse-engineering/
  • 深度 native .so/.dll 段分析 → ida-reverse/ / radare2/
  • 需要 AI 直接操作 dnSpy → 注册并联动 dnSpy MCP(见 references/sharp-tools.md

同级关联模块:

  • reverse-engineering/languages-compiled.md(.NET 简介指向本模块)
  • apk-reverse/(Xamarin/MAUI Android 逆向可切回本模块看 C# 层)

参考文档

任务完成自检

  • 是否确认过 CLR / 托管身份(或已 SWITCH 出本 skill)?
  • 混淆样本是否先 de4dot / 等价脱壳再深分析?
  • 关键逻辑是否用 IL 视图验证(而非只看 C# 伪代码)?
  • 产物(clean 样本 / 配置 / patch diff)是否落盘且可复现?
  • 是否提供了下一步菜单或报告出口?

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 Dotnet Reverse AI skill do?

.NET / C# 二进制逆向。当目标是 .NET assembly(PE 头含 CLR、.exe/.dll 托管程序)、C# 编译产物(含 NativeAOT)、红队 Sharp* 工具(Rubeus / SharpHound / SharpHound 等)、.NET 混淆程序(ConfuserEx / SmartAssembly / Babel / Eazfuscator)、.NET loader / info-stealer / 套壳 malware 时使用。优先用 dnSpyEx + de4dot,需要 AI 直接操作时联动 dnSpy MCP。不用于纯 native 二进制(走 reverse-engineering / ida-reverse)。

Why use Dotnet Reverse on TypingMind?

Because you install it once and use it with any model. Dotnet Reverse 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 Dotnet Reverse in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhaoxuya520/reverse-skill/tree/main/skills/dotnet-reverse. 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 Dotnet Reverse?

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 Dotnet Reverse?

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

Is the Dotnet Reverse AI skill free?

Yes. It is published on GitHub by zhaoxuya520 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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