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Shellcode Loader Generate

OrganizationPopular
wgpsec
shellcode-loader-generate

Shellcode Loader 组合生成:从知识库选择 storage/allocator/copier/executor 四类组件组合生成 C/C++/Rust Loader。当已获 shellcode、需要生成可在目标环境运行的 Loader 二进制时使用。先读 references/loader-scenarios.json 确认不存在重复场景,再选择 4 组件组合生成

Overview

Publisherwgpsec
RepositoryAboutSecurity
Skill nameshellcode-loader-generate
Stars
1.8K
Forks
247
Bundled files
6
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.

  • 6 bundled files

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

  • Open source

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

Installation

Install the Shellcode Loader Generate 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/evasion/shellcode-loader-generate
  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/evasion/shellcode-loader-generate .claude/skills/shellcode-loader-generate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Shellcode Loader Generate 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 Shellcode Loader Generate 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 Shellcode Loader Generate 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.

Shellcode Loader 组合生成

⛔ 深入参考


4 组件选择矩阵

Loader = Storage × Allocator × Copier × Executor

Storage(存储方式)— 15 种

内部嵌入 | 资源段 | 远程URL | 注册表 | ADS | ...

Allocator(内存分配)— 14 种

方法复杂度代码模式
VirtualAllocsimpleVirtualAlloc(NULL, size, MEM_COMMIT|MEM_RESERVE, PAGE_RWX)
HeapCreatemediumHeapCreate(HEAP_CREATE_ENABLE_EXECUTE, 0, 0)
NtAllocateVirtualMemorycomplex直接 NT syscall

Copier(数据复制)— 9 种

memcpy | RtlMoveMemory | 循环字节复制 | WriteProcessMemory | ...

Executor(执行方式)— 47 种

方法复杂度
函数指针simple
CreateThreadsimple
EnumWindows 回调medium
APC 注入medium
Fibercomplex
NtCreateThreadExcomplex

生成流程

1. 查组件库 → references/loader-components-db.json
2. 查已有场景 → references/loader-scenarios.json(避免重复)
3. 选择 4 组件组合
4. 选择语言(C/C++/Rust)
5. 生成代码(使用 references/loader-architecture.md 中的模板)
6. 交叉编译验证(mingw-gcc / cargo)
7. 记录场景到知识库

编译命令速查

bash
# C
x86_64-w64-mingw32-gcc -o loader.exe loader.c

# C++
x86_64-w64-mingw32-g++ -o loader.exe loader.cpp

# Rust
cargo build --release --target x86_64-pc-windows-gnu

Rust Loader 注意事项

  • Rust 错误处理:使用 Result / Option 类型,避免 unwrap panic

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 Shellcode Loader Generate AI skill do?

Shellcode Loader 组合生成:从知识库选择 storage/allocator/copier/executor 四类组件组合生成 C/C++/Rust Loader。当已获 shellcode、需要生成可在目标环境运行的 Loader 二进制时使用。先读 references/loader-scenarios.json 确认不存在重复场景,再选择 4 组件组合生成

Why use Shellcode Loader Generate on TypingMind?

Because you install it once and use it with any model. Shellcode Loader Generate 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 Shellcode Loader Generate in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wgpsec/AboutSecurity/tree/master/skills/evasion/shellcode-loader-generate. 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 Shellcode Loader Generate?

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 Shellcode Loader Generate?

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

Is the Shellcode Loader Generate 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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