docs: 添加中文README文件并更新英文README
添加简体中文版README_CN.md文件，并同步更新英文版README.md内容 删除旧的README_EN.md文件，统一使用README.md作为英文文档
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README.md
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README.md
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# DeepAudit - 人人拥有的 AI 审计战队，让漏洞挖掘触手可及 🦸♂️
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# DeepAudit - Your AI Security Audit Team, Making Vulnerability Discovery Accessible
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> Making code vulnerability discovery as easy as breathing, even beginners can find bugs
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<p align="center">
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<strong>简体中文</strong> | <a href="README_EN.md">English</a>
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<a href="README_CN.md">简体中文</a> | <strong>English</strong>
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</p>
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<div style="width: 100%; max-width: 600px; margin: 0 auto;">
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## 📸 界面预览
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## Screenshots
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<div align="center">
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### 🤖 Agent 审计入口
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### Agent Audit Entry
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<img src="frontend/public/images/README-show/Agent审计入口（首页）.png" alt="Agent审计入口" width="90%">
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<img src="frontend/public/images/README-show/Agent审计入口（首页）.png" alt="Agent Audit Entry" width="90%">
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*首页快速进入 Multi-Agent 深度审计*
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*Quick access to Multi-Agent deep audit from homepage*
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</div>
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<table>
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<tr>
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<td width="50%" align="center">
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<strong>📋 审计流日志</strong><br/><br/>
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<img src="frontend/public/images/README-show/审计流日志.png" alt="审计流日志" width="95%"><br/>
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<em>实时查看 Agent 思考与执行过程</em>
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<strong>Audit Flow Logs</strong><br/><br/>
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<img src="frontend/public/images/README-show/审计流日志.png" alt="Audit Flow Logs" width="95%"><br/>
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<em>Real-time view of Agent thinking and execution process</em>
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</td>
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<td width="50%" align="center">
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<strong>🎛️ 智能仪表盘</strong><br/><br/>
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<img src="frontend/public/images/README-show/仪表盘.png" alt="仪表盘" width="95%"><br/>
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<em>一眼掌握项目安全态势</em>
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<strong>Smart Dashboard</strong><br/><br/>
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<img src="frontend/public/images/README-show/仪表盘.png" alt="Dashboard" width="95%"><br/>
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<em>Grasp project security posture at a glance</em>
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</td>
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</tr>
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<tr>
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<td width="50%" align="center">
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<strong>⚡ 即时分析</strong><br/><br/>
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<img src="frontend/public/images/README-show/即时分析.png" alt="即时分析" width="95%"><br/>
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<em>粘贴代码 / 上传文件，秒出结果</em>
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<strong>Instant Analysis</strong><br/><br/>
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<img src="frontend/public/images/README-show/即时分析.png" alt="Instant Analysis" width="95%"><br/>
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<em>Paste code / upload files, get results in seconds</em>
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</td>
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<td width="50%" align="center">
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<strong>🗂️ 项目管理</strong><br/><br/>
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<img src="frontend/public/images/README-show/项目管理.png" alt="项目管理" width="95%"><br/>
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<em>GitHub/GitLab 导入，多项目协同管理</em>
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<strong>Project Management</strong><br/><br/>
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<img src="frontend/public/images/README-show/项目管理.png" alt="Project Management" width="95%"><br/>
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<em>GitHub/GitLab import, multi-project collaboration</em>
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</td>
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</tr>
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</table>
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<div align="center">
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### 📊 专业报告
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### Professional Reports
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<img src="frontend/public/images/README-show/审计报告示例.png" alt="审计报告" width="90%">
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<img src="frontend/public/images/README-show/审计报告示例.png" alt="Audit Report" width="90%">
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*一键导出 PDF / Markdown / JSON*（图中为快速模式，非Agent模式报告）
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*One-click export to PDF / Markdown / JSON* (Quick mode shown, not Agent mode report)
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👉 [查看Agent审计完整报告示例](https://lintsinghua.github.io/)
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[View Full Agent Audit Report Example](https://lintsinghua.github.io/)
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</div>
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---
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## ⚡ 项目概述
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## Overview
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**DeepAudit** 是一个基于 **Multi-Agent 协作架构**的下一代代码安全审计平台。它不仅仅是一个静态扫描工具，而是模拟安全专家的思维模式，通过多个智能体（**Orchestrator**, **Recon**, **Analysis**, **Verification**）的自主协作，实现对代码的深度理解、漏洞挖掘和 **自动化沙箱 PoC 验证**。
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**DeepAudit** is a next-generation code security audit platform based on **Multi-Agent collaborative architecture**. It's not just a static scanning tool, but simulates the thinking patterns of security experts through autonomous collaboration of multiple agents (**Orchestrator**, **Recon**, **Analysis**, **Verification**), achieving deep code understanding, vulnerability discovery, and **automated sandbox PoC verification**.
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我们致力于解决传统 SAST 工具的三大痛点：
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- **误报率高** — 缺乏语义理解，大量误报消耗人力
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- **业务逻辑盲点** — 无法理解跨文件调用和复杂逻辑
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- **缺乏验证手段** — 不知道漏洞是否真实可利用
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We are committed to solving three major pain points of traditional SAST tools:
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- **High false positive rate** — Lack of semantic understanding, massive false positives consume manpower
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- **Business logic blind spots** — Cannot understand cross-file calls and complex logic
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- **Lack of verification methods** — Don't know if vulnerabilities are actually exploitable
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用户只需导入项目，DeepAudit 便全自动开始工作：识别技术栈 → 分析潜在风险 → 生成脚本 → 沙箱验证 → 生成报告，最终输出一份专业审计报告。
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Users only need to import a project, and DeepAudit automatically starts working: identify tech stack → analyze potential risks → generate scripts → sandbox verification → generate report, ultimately outputting a professional audit report.
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> **核心理念**: 让 AI 像黑客一样攻击，像专家一样防御。
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> **Core Philosophy**: Let AI attack like a hacker, defend like an expert.
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## 💡 为什么选择 DeepAudit？
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## Why Choose DeepAudit?
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<div align="center">
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| 😫 传统审计的痛点 | 💡 DeepAudit 解决方案 |
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| Traditional Audit Pain Points | DeepAudit Solutions |
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| :--- | :--- |
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| **人工审计效率低**<br>跨不上 CI/CD 代码迭代速度，拖慢发布流程 | **🤖 Multi-Agent 自主审计**<br>AI 自动编排审计策略，全天候自动化执行 |
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| **传统工具误报多**<br>缺乏语义理解，每天花费大量时间清洗噪音 | **🧠 RAG 知识库增强**<br>结合代码语义与上下文，大幅降低误报率 |
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| **数据隐私担忧**<br>担心核心源码泄露给云端 AI，无法满足合规要求 | **🔒 支持 Ollama 本地部署**<br>数据不出内网，支持 Llama3/DeepSeek 等本地模型 |
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| **无法确认真实性**<br>外包项目漏洞多，不知道哪些漏洞真实可被利用 | **💥 沙箱 PoC 验证**<br>自动生成并执行攻击脚本，确认漏洞真实危害 |
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| **Low manual audit efficiency**<br>Can't keep up with CI/CD iteration speed, slowing release process | **Multi-Agent Autonomous Audit**<br>AI automatically orchestrates audit strategies, 24/7 automated execution |
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| **Too many false positives**<br>Lack of semantic understanding, spending lots of time cleaning noise daily | **RAG Knowledge Enhancement**<br>Combining code semantics with context, significantly reducing false positives |
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| **Data privacy concerns**<br>Worried about core source code leaking to cloud AI, can't meet compliance requirements | **Ollama Local Deployment Support**<br>Data stays on-premises, supports Llama3/DeepSeek and other local models |
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| **Can't confirm authenticity**<br>Outsourced projects have many vulnerabilities, don't know which are truly exploitable | **Sandbox PoC Verification**<br>Automatically generate and execute attack scripts, confirm real vulnerability impact |
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</div>
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---
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## 🏗️ 系统架构
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## System Architecture
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### 整体架构图
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### Architecture Diagram
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DeepAudit 采用微服务架构，核心由 Multi-Agent 引擎驱动。
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DeepAudit adopts microservices architecture, driven by the Multi-Agent engine at its core.
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<div align="center">
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<img src="frontend/public/images/README-show/架构图.png" alt="DeepAudit 架构图" width="90%">
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<img src="frontend/public/images/README-show/架构图.png" alt="DeepAudit Architecture" width="90%">
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</div>
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### 🔄 审计工作流
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### Audit Workflow
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| 步骤 | 阶段 | 负责 Agent | 主要动作 |
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| Step | Phase | Responsible Agent | Main Actions |
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|:---:|:---:|:---:|:---|
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| 1 | **策略规划** | **Orchestrator** | 接收审计任务，分析项目类型，制定审计计划，下发任务给子 Agent |
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| 2 | **信息收集** | **Recon Agent** | 扫描项目结构，识别框架/库/API，提取攻击面（Entry Points） |
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| 3 | **漏洞挖掘** | **Analysis Agent** | 结合 RAG 知识库与 AST 分析，深度审查代码，发现潜在漏洞 |
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| 4 | **PoC 验证** | **Verification Agent** | **(关键)** 编写 PoC 脚本，在 Docker 沙箱中执行。如失败则自我修正重试 |
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| 5 | **报告生成** | **Orchestrator** | 汇总所有发现，剔除被验证为误报的漏洞，生成最终报告 |
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| 1 | **Strategy Planning** | **Orchestrator** | Receive audit task, analyze project type, formulate audit plan, dispatch tasks to sub-agents |
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| 2 | **Information Gathering** | **Recon Agent** | Scan project structure, identify frameworks/libraries/APIs, extract attack surface (Entry Points) |
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| 3 | **Vulnerability Discovery** | **Analysis Agent** | Combine RAG knowledge base with AST analysis, deep code review, discover potential vulnerabilities |
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| 4 | **PoC Verification** | **Verification Agent** | **(Critical)** Write PoC scripts, execute in Docker sandbox. Self-correct and retry if failed |
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| 5 | **Report Generation** | **Orchestrator** | Aggregate all findings, filter out verified false positives, generate final report |
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### 📂 项目代码结构
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### Project Structure
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```text
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DeepAudit/
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├── backend/ # Python FastAPI 后端
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├── backend/ # Python FastAPI Backend
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│ ├── app/
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│ │ ├── agents/ # Multi-Agent 核心逻辑
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│ │ │ ├── orchestrator.py # 总指挥：任务编排
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│ │ │ ├── recon.py # 侦察兵：资产识别
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│ │ │ ├── analysis.py # 分析师：漏洞挖掘
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│ │ │ └── verification.py # 验证者：沙箱 PoC
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│ │ ├── core/ # 核心配置与沙箱接口
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│ │ ├── models/ # 数据库模型
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│ │ └── services/ # RAG, LLM 服务封装
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│ └── tests/ # 单元测试
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├── frontend/ # React + TypeScript 前端
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│ │ ├── agents/ # Multi-Agent Core Logic
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│ │ │ ├── orchestrator.py # Commander: Task Orchestration
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│ │ │ ├── recon.py # Scout: Asset Identification
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│ │ │ ├── analysis.py # Analyst: Vulnerability Discovery
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│ │ │ └── verification.py # Verifier: Sandbox PoC
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│ │ ├── core/ # Core Config & Sandbox Interface
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│ │ ├── models/ # Database Models
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│ │ └── services/ # RAG, LLM Service Wrappers
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│ └── tests/ # Unit Tests
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├── frontend/ # React + TypeScript Frontend
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│ ├── src/
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│ │ ├── components/ # UI 组件库
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│ │ ├── pages/ # 页面路由
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│ │ └── stores/ # Zustand 状态管理
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├── docker/ # Docker 部署配置
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│ ├── sandbox/ # 安全沙箱镜像构建
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│ └── postgres/ # 数据库初始化
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└── docs/ # 详细文档
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│ │ ├── components/ # UI Component Library
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│ │ ├── pages/ # Page Routes
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│ │ └── stores/ # Zustand State Management
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├── docker/ # Docker Deployment Config
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│ ├── sandbox/ # Security Sandbox Image Build
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│ └── postgres/ # Database Initialization
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└── docs/ # Detailed Documentation
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```
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---
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## 🚀 快速开始
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## Quick Start
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### 方式一：一行命令部署（推荐）
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### Option 1: One-Line Deployment (Recommended)
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使用预构建的 Docker 镜像，无需克隆代码，一行命令即可启动：
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Using pre-built Docker images, no need to clone code, start with one command:
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```bash
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curl -fsSL https://raw.githubusercontent.com/lintsinghua/DeepAudit/v3.0.0/docker-compose.prod.yml | docker compose -f - up -d
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```
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## 🇨🇳 国内加速部署（作者亲测非常无敌之快）
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使用南京大学镜像站加速拉取 Docker 镜像（将 `ghcr.io` 替换为 `ghcr.nju.edu.cn`）：
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```bash
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# 国内加速版 - 使用南京大学 GHCR 镜像站
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curl -fsSL https://raw.githubusercontent.com/lintsinghua/DeepAudit/v3.0.0/docker-compose.prod.cn.yml | docker compose -f - up -d
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```
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<details>
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<summary>手动拉取镜像（如需单独拉取）（点击展开）</summary>
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```bash
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# 前端镜像
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docker pull ghcr.nju.edu.cn/lintsinghua/deepaudit-frontend:latest
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# 后端镜像
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docker pull ghcr.nju.edu.cn/lintsinghua/deepaudit-backend:latest
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# 沙箱镜像
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docker pull ghcr.nju.edu.cn/lintsinghua/deepaudit-sandbox:latest
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```
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</details>
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> 💡 镜像源由 [南京大学开源镜像站](https://mirrors.nju.edu.cn/) 提供支持
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> 🎉 **启动成功！** 访问 http://localhost:3000 开始体验。
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> **Success!** Visit http://localhost:3000 to start exploring.
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---
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### 方式二：克隆代码部署
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### Option 2: Clone and Deploy
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适合需要自定义配置或二次开发的用户：
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Suitable for users who need custom configuration or secondary development:
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```bash
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# 1. 克隆项目
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# 1. Clone project
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git clone https://github.com/lintsinghua/DeepAudit.git && cd DeepAudit
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# 2. 配置环境变量
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# 2. Configure environment variables
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cp backend/env.example backend/.env
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# 编辑 backend/.env 填入你的 LLM API Key
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# Edit backend/.env and fill in your LLM API Key
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# 3. 一键启动
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# 3. One-click start
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docker compose up -d
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```
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> 首次启动会自动构建沙箱镜像，可能需要几分钟。
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> First startup will automatically build the sandbox image, which may take a few minutes.
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---
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## 🔧 源码开发指南
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## Development Guide
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适合开发者进行二次开发调试。
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For developers doing secondary development and debugging.
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### 环境要求
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### Requirements
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- Python 3.11+
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- Node.js 20+
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- PostgreSQL 15+
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- Docker (用于沙箱)
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- Docker (for sandbox)
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### 1. 后端启动
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### 1. Backend Setup
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```bash
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cd backend
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# 使用 uv 管理环境（推荐）
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# Use uv for environment management (recommended)
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uv sync
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source .venv/bin/activate
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# 启动 API 服务
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# Start API service
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uvicorn app.main:app --reload
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```
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### 2. 前端启动
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### 2. Frontend Setup
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```bash
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cd frontend
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@ -252,63 +229,59 @@ pnpm install
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pnpm dev
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```
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### 3. 沙箱环境
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### 3. Sandbox Environment
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开发模式下需要本地 Docker 拉取沙箱镜像：
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Development mode requires pulling the sandbox image locally:
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```bash
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# 标准拉取
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docker pull ghcr.io/lintsinghua/deepaudit-sandbox:latest
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# 国内加速（南京大学镜像站）
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docker pull ghcr.nju.edu.cn/lintsinghua/deepaudit-sandbox:latest
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```
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---
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## 🤖 Multi-Agent 智能审计
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## Multi-Agent Intelligent Audit
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### 支持的漏洞类型
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### Supported Vulnerability Types
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|
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<table>
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<tr>
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<td>
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| 漏洞类型 | 描述 |
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| Vulnerability Type | Description |
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|---------|------|
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||||
| `sql_injection` | SQL 注入 |
|
||||
| `xss` | 跨站脚本攻击 |
|
||||
| `command_injection` | 命令注入 |
|
||||
| `path_traversal` | 路径遍历 |
|
||||
| `ssrf` | 服务端请求伪造 |
|
||||
| `xxe` | XML 外部实体注入 |
|
||||
| `sql_injection` | SQL Injection |
|
||||
| `xss` | Cross-Site Scripting |
|
||||
| `command_injection` | Command Injection |
|
||||
| `path_traversal` | Path Traversal |
|
||||
| `ssrf` | Server-Side Request Forgery |
|
||||
| `xxe` | XML External Entity Injection |
|
||||
|
||||
</td>
|
||||
<td>
|
||||
|
||||
| 漏洞类型 | 描述 |
|
||||
| Vulnerability Type | Description |
|
||||
|---------|------|
|
||||
| `insecure_deserialization` | 不安全反序列化 |
|
||||
| `hardcoded_secret` | 硬编码密钥 |
|
||||
| `weak_crypto` | 弱加密算法 |
|
||||
| `authentication_bypass` | 认证绕过 |
|
||||
| `authorization_bypass` | 授权绕过 |
|
||||
| `idor` | 不安全直接对象引用 |
|
||||
| `insecure_deserialization` | Insecure Deserialization |
|
||||
| `hardcoded_secret` | Hardcoded Secrets |
|
||||
| `weak_crypto` | Weak Cryptography |
|
||||
| `authentication_bypass` | Authentication Bypass |
|
||||
| `authorization_bypass` | Authorization Bypass |
|
||||
| `idor` | Insecure Direct Object Reference |
|
||||
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
> 📖 详细文档请查看 **[Agent 审计指南](docs/AGENT_AUDIT.md)**
|
||||
> For detailed documentation, see **[Agent Audit Guide](docs/AGENT_AUDIT.md)**
|
||||
|
||||
---
|
||||
|
||||
## 🔌 支持的 LLM 平台
|
||||
## Supported LLM Platforms
|
||||
|
||||
<table>
|
||||
<tr>
|
||||
<td align="center" width="33%">
|
||||
<h3>🌍 国际平台</h3>
|
||||
<h3>International Platforms</h3>
|
||||
<p>
|
||||
OpenAI GPT-4o / GPT-4<br/>
|
||||
Claude 3.5 Sonnet / Opus<br/>
|
||||
|
|
@ -317,85 +290,85 @@ DeepSeek V3
|
|||
</p>
|
||||
</td>
|
||||
<td align="center" width="33%">
|
||||
<h3>🇨🇳 国内平台</h3>
|
||||
<h3>Chinese Platforms</h3>
|
||||
<p>
|
||||
通义千问 Qwen<br/>
|
||||
智谱 GLM-4<br/>
|
||||
Qwen (Tongyi Qianwen)<br/>
|
||||
Zhipu GLM-4<br/>
|
||||
Moonshot Kimi<br/>
|
||||
文心一言 · MiniMax · 豆包
|
||||
Wenxin · MiniMax · Doubao
|
||||
</p>
|
||||
</td>
|
||||
<td align="center" width="33%">
|
||||
<h3>🏠 本地部署</h3>
|
||||
<h3>Local Deployment</h3>
|
||||
<p>
|
||||
<strong>Ollama</strong><br/>
|
||||
Llama3 · Qwen2.5 · CodeLlama<br/>
|
||||
DeepSeek-Coder · Codestral<br/>
|
||||
<em>代码不出内网</em>
|
||||
<em>Code stays on-premises</em>
|
||||
</p>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
> 💡 支持 API 中转站，解决网络访问问题 | 详细配置 → [LLM 平台支持](docs/LLM_PROVIDERS.md)
|
||||
> Supports API proxies to solve network access issues | Detailed configuration → [LLM Platform Support](docs/LLM_PROVIDERS.md)
|
||||
|
||||
---
|
||||
|
||||
## 🎯 功能矩阵
|
||||
## Feature Matrix
|
||||
|
||||
| 功能 | 说明 | 模式 |
|
||||
| Feature | Description | Mode |
|
||||
|------|------|------|
|
||||
| 🤖 **Agent 深度审计** | Multi-Agent 协作，自主编排审计策略 | Agent |
|
||||
| 🧠 **RAG 知识增强** | 代码语义理解，CWE/CVE 知识库检索 | Agent |
|
||||
| 🔒 **沙箱 PoC 验证** | Docker 隔离执行，验证漏洞有效性 | Agent |
|
||||
| 🗂️ **项目管理** | GitHub/GitLab 导入，ZIP 上传，10+ 语言支持 | 通用 |
|
||||
| ⚡ **即时分析** | 代码片段秒级分析，粘贴即用 | 通用 |
|
||||
| 🔍 **五维检测** | Bug · 安全 · 性能 · 风格 · 可维护性 | 通用 |
|
||||
| 💡 **What-Why-How** | 精准定位 + 原因解释 + 修复建议 | 通用 |
|
||||
| 📋 **审计规则** | 内置 OWASP Top 10，支持自定义规则集 | 通用 |
|
||||
| 📝 **提示词模板** | 可视化管理，支持中英文双语 | 通用 |
|
||||
| 📊 **报告导出** | PDF / Markdown / JSON 一键导出 | 通用 |
|
||||
| ⚙️ **运行时配置** | 浏览器配置 LLM，无需重启服务 | 通用 |
|
||||
| **Agent Deep Audit** | Multi-Agent collaboration, autonomous audit strategy orchestration | Agent |
|
||||
| **RAG Knowledge Enhancement** | Code semantic understanding, CWE/CVE knowledge base retrieval | Agent |
|
||||
| **Sandbox PoC Verification** | Docker isolated execution, verify vulnerability validity | Agent |
|
||||
| **Project Management** | GitHub/GitLab import, ZIP upload, 10+ language support | General |
|
||||
| **Instant Analysis** | Code snippet analysis in seconds, paste and use | General |
|
||||
| **Five-Dimensional Detection** | Bug · Security · Performance · Style · Maintainability | General |
|
||||
| **What-Why-How** | Precise location + cause explanation + fix suggestions | General |
|
||||
| **Audit Rules** | Built-in OWASP Top 10, supports custom rule sets | General |
|
||||
| **Prompt Templates** | Visual management, bilingual support | General |
|
||||
| **Report Export** | One-click export to PDF / Markdown / JSON | General |
|
||||
| **Runtime Configuration** | Configure LLM in browser, no service restart needed | General |
|
||||
|
||||
## 🦖 发展路线图
|
||||
## Roadmap
|
||||
|
||||
我们正在持续演进，未来将支持更多语言和更强大的 Agent 能力。
|
||||
We are continuously evolving, with more language support and stronger Agent capabilities coming.
|
||||
|
||||
- [x] 基础静态分析，集成 Semgrep
|
||||
- [x] 引入 RAG 知识库，支持 Docker 安全沙箱
|
||||
- [x] **Multi-Agent 协作架构** (Current)
|
||||
- [ ] 支持更真实的模拟服务环境，进行更真实漏洞验证流程
|
||||
- [ ] 沙箱从function_call优化集成为稳定MCP服务
|
||||
- [ ] **自动修复 (Auto-Fix)**: Agent 直接提交 PR 修复漏洞
|
||||
- [ ] **增量PR审计**: 持续跟踪 PR 变更，智能分析漏洞，并集成CI/CD流程
|
||||
- [ ] **优化RAG**: 支持自定义知识库
|
||||
- [x] Basic static analysis, Semgrep integration
|
||||
- [x] RAG knowledge base introduction, Docker security sandbox support
|
||||
- [x] **Multi-Agent Collaborative Architecture** (Current)
|
||||
- [ ] Support for more realistic simulated service environments for more authentic vulnerability verification
|
||||
- [ ] Optimize sandbox from function_call to stable MCP service
|
||||
- [ ] **Auto-Fix**: Agent directly submits PRs to fix vulnerabilities
|
||||
- [ ] **Incremental PR Audit**: Continuously track PR changes, intelligently analyze vulnerabilities, integrate with CI/CD
|
||||
- [ ] **Optimized RAG**: Support custom knowledge bases
|
||||
|
||||
---
|
||||
|
||||
## 🤝 贡献与社区
|
||||
## Contributing & Community
|
||||
|
||||
### 贡献指南
|
||||
我们非常欢迎您的贡献！无论是提交 Issue、PR 还是完善文档。
|
||||
请查看 [CONTRIBUTING.md](./CONTRIBUTING.md) 了解详情。
|
||||
### Contributing Guide
|
||||
We warmly welcome your contributions! Whether it's submitting Issues, PRs, or improving documentation.
|
||||
Please check [CONTRIBUTING.md](./CONTRIBUTING.md) for details.
|
||||
|
||||
### 📬 联系作者
|
||||
### Contact
|
||||
|
||||
<div align="center">
|
||||
|
||||
**欢迎大家来和我交流探讨！无论是技术问题、功能建议还是合作意向，都期待与你沟通~**
|
||||
**Feel free to reach out for technical discussions, feature suggestions, or collaboration opportunities!**
|
||||
|
||||
| 联系方式 | |
|
||||
| Contact | |
|
||||
|:---:|:---:|
|
||||
| 📧 **邮箱** | **lintsinghua@qq.com** |
|
||||
| 🐙 **GitHub** | [@lintsinghua](https://github.com/lintsinghua) |
|
||||
| **Email** | **lintsinghua@qq.com** |
|
||||
| **GitHub** | [@lintsinghua](https://github.com/lintsinghua) |
|
||||
|
||||
</div>
|
||||
|
||||
## 📄 许可证
|
||||
## License
|
||||
|
||||
本项目采用 [AGPL-3.0 License](LICENSE) 开源。
|
||||
This project is open-sourced under the [AGPL-3.0 License](LICENSE).
|
||||
|
||||
## 📈 项目热度
|
||||
## Star History
|
||||
|
||||
<a href="https://star-history.com/#lintsinghua/DeepAudit&Date">
|
||||
<picture>
|
||||
|
|
@ -413,42 +386,42 @@ DeepSeek-Coder · Codestral<br/>
|
|||
|
||||
---
|
||||
|
||||
## 致谢
|
||||
## Acknowledgements
|
||||
|
||||
感谢以下开源项目的支持：
|
||||
Thanks to the following open-source projects for their support:
|
||||
|
||||
[FastAPI](https://fastapi.tiangolo.com/) · [LangChain](https://langchain.com/) · [LangGraph](https://langchain-ai.github.io/langgraph/) · [ChromaDB](https://www.trychroma.com/) · [LiteLLM](https://litellm.ai/) · [Tree-sitter](https://tree-sitter.github.io/) · [Kunlun-M](https://github.com/LoRexxar/Kunlun-M) · [Strix](https://github.com/usestrix/strix) · [React](https://react.dev/) · [Vite](https://vitejs.dev/) · [Radix UI](https://www.radix-ui.com/) · [TailwindCSS](https://tailwindcss.com/) · [shadcn/ui](https://ui.shadcn.com/)
|
||||
|
||||
---
|
||||
|
||||
## ⚠️ 重要安全声明
|
||||
## Important Security Notice
|
||||
|
||||
### 法律合规声明
|
||||
1. 禁止**任何未经授权的漏洞测试、渗透测试或安全评估**
|
||||
2. 本项目仅供网络空间安全学术研究、教学和学习使用
|
||||
3. 严禁将本项目用于任何非法目的或未经授权的安全测试
|
||||
### Legal Compliance Statement
|
||||
1. **Any unauthorized vulnerability testing, penetration testing, or security assessment is prohibited**
|
||||
2. This project is only for cybersecurity academic research, teaching, and learning purposes
|
||||
3. It is strictly prohibited to use this project for any illegal purposes or unauthorized security testing
|
||||
|
||||
### 漏洞上报责任
|
||||
1. 发现任何安全漏洞时，请及时通过合法渠道上报
|
||||
2. 严禁利用发现的漏洞进行非法活动
|
||||
3. 遵守国家网络安全法律法规，维护网络空间安全
|
||||
### Vulnerability Reporting Responsibility
|
||||
1. When discovering any security vulnerabilities, please report them through legitimate channels promptly
|
||||
2. It is strictly prohibited to use discovered vulnerabilities for illegal activities
|
||||
3. Comply with national cybersecurity laws and regulations, maintain cyberspace security
|
||||
|
||||
### 使用限制
|
||||
- 仅限在授权环境下用于教育和研究目的
|
||||
- 禁止用于对未授权系统进行安全测试
|
||||
- 使用者需对自身行为承担全部法律责任
|
||||
### Usage Restrictions
|
||||
- Only for educational and research purposes in authorized environments
|
||||
- Prohibited for security testing on unauthorized systems
|
||||
- Users are fully responsible for their own actions
|
||||
|
||||
### 免责声明
|
||||
作者不对任何因使用本项目而导致的直接或间接损失负责，使用者需对自身行为承担全部法律责任。
|
||||
### Disclaimer
|
||||
The author is not responsible for any direct or indirect losses caused by the use of this project. Users bear full legal responsibility for their own actions.
|
||||
|
||||
---
|
||||
|
||||
## 📖 详细安全政策
|
||||
## Detailed Security Policy
|
||||
|
||||
有关安装政策、免责声明、代码隐私、API使用安全和漏洞报告的详细信息，请参阅 [DISCLAIMER.md](DISCLAIMER.md) 和 [SECURITY.md](SECURITY.md) 文件。
|
||||
For detailed information about installation policy, disclaimer, code privacy, API usage security, and vulnerability reporting, please refer to [DISCLAIMER.md](DISCLAIMER.md) and [SECURITY.md](SECURITY.md) files.
|
||||
|
||||
### 快速参考
|
||||
- 🔒 **代码隐私警告**: 您的代码将被发送到所选择的LLM服务商服务器
|
||||
- 🛡️ **敏感代码处理**: 使用本地模型处理敏感代码
|
||||
- ⚠️ **合规要求**: 遵守数据保护和隐私法律法规
|
||||
- 📧 **漏洞报告**: 发现安全问题请通过合法渠道上报
|
||||
### Quick Reference
|
||||
- **Code Privacy Warning**: Your code will be sent to the selected LLM provider's servers
|
||||
- **Sensitive Code Handling**: Use local models for sensitive code
|
||||
- **Compliance Requirements**: Comply with data protection and privacy laws
|
||||
- **Vulnerability Reporting**: Report security issues through legitimate channels
|
||||
|
|
|
|||
|
|
@ -0,0 +1,454 @@
|
|||
# DeepAudit - 人人拥有的 AI 审计战队，让漏洞挖掘触手可及 🦸♂️
|
||||
|
||||
<p align="center">
|
||||
<strong>简体中文</strong> | <a href="README.md">English</a>
|
||||
</p>
|
||||
|
||||
<div style="width: 100%; max-width: 600px; margin: 0 auto;">
|
||||
<img src="frontend/public/images/logo.png" alt="DeepAudit Logo" style="width: 100%; height: auto; display: block; margin: 0 auto;">
|
||||
</div>
|
||||
|
||||
<div align="center">
|
||||
|
||||
[](https://github.com/lintsinghua/DeepAudit/releases)
|
||||
[](https://www.gnu.org/licenses/agpl-3.0)
|
||||
[](https://reactjs.org/)
|
||||
[](https://www.typescriptlang.org/)
|
||||
[](https://fastapi.tiangolo.com/)
|
||||
[](https://www.python.org/)
|
||||
[](https://deepwiki.com/lintsinghua/DeepAudit)
|
||||
|
||||
[](https://github.com/lintsinghua/DeepAudit/stargazers)
|
||||
[](https://github.com/lintsinghua/DeepAudit/network/members)
|
||||
|
||||
<a href="https://trendshift.io/repositories/15634" target="_blank"><img src="https://trendshift.io/api/badge/repositories/15634" alt="lintsinghua%2FDeepAudit | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
|
||||
|
||||
|
||||
</div>
|
||||
|
||||
<div align="center">
|
||||
<img src="frontend/public/DeepAudit.gif" alt="DeepAudit Demo" width="90%">
|
||||
</div>
|
||||
|
||||
---
|
||||
|
||||
|
||||
|
||||
## 📸 界面预览
|
||||
|
||||
<div align="center">
|
||||
|
||||
### 🤖 Agent 审计入口
|
||||
|
||||
<img src="frontend/public/images/README-show/Agent审计入口（首页）.png" alt="Agent审计入口" width="90%">
|
||||
|
||||
*首页快速进入 Multi-Agent 深度审计*
|
||||
|
||||
</div>
|
||||
|
||||
<table>
|
||||
<tr>
|
||||
<td width="50%" align="center">
|
||||
<strong>📋 审计流日志</strong><br/><br/>
|
||||
<img src="frontend/public/images/README-show/审计流日志.png" alt="审计流日志" width="95%"><br/>
|
||||
<em>实时查看 Agent 思考与执行过程</em>
|
||||
</td>
|
||||
<td width="50%" align="center">
|
||||
<strong>🎛️ 智能仪表盘</strong><br/><br/>
|
||||
<img src="frontend/public/images/README-show/仪表盘.png" alt="仪表盘" width="95%"><br/>
|
||||
<em>一眼掌握项目安全态势</em>
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td width="50%" align="center">
|
||||
<strong>⚡ 即时分析</strong><br/><br/>
|
||||
<img src="frontend/public/images/README-show/即时分析.png" alt="即时分析" width="95%"><br/>
|
||||
<em>粘贴代码 / 上传文件，秒出结果</em>
|
||||
</td>
|
||||
<td width="50%" align="center">
|
||||
<strong>🗂️ 项目管理</strong><br/><br/>
|
||||
<img src="frontend/public/images/README-show/项目管理.png" alt="项目管理" width="95%"><br/>
|
||||
<em>GitHub/GitLab 导入，多项目协同管理</em>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
<div align="center">
|
||||
|
||||
### 📊 专业报告
|
||||
|
||||
<img src="frontend/public/images/README-show/审计报告示例.png" alt="审计报告" width="90%">
|
||||
|
||||
*一键导出 PDF / Markdown / JSON*（图中为快速模式，非Agent模式报告）
|
||||
|
||||
👉 [查看Agent审计完整报告示例](https://lintsinghua.github.io/)
|
||||
|
||||
</div>
|
||||
|
||||
---
|
||||
|
||||
## ⚡ 项目概述
|
||||
|
||||
**DeepAudit** 是一个基于 **Multi-Agent 协作架构**的下一代代码安全审计平台。它不仅仅是一个静态扫描工具，而是模拟安全专家的思维模式，通过多个智能体（**Orchestrator**, **Recon**, **Analysis**, **Verification**）的自主协作，实现对代码的深度理解、漏洞挖掘和 **自动化沙箱 PoC 验证**。
|
||||
|
||||
我们致力于解决传统 SAST 工具的三大痛点：
|
||||
- **误报率高** — 缺乏语义理解，大量误报消耗人力
|
||||
- **业务逻辑盲点** — 无法理解跨文件调用和复杂逻辑
|
||||
- **缺乏验证手段** — 不知道漏洞是否真实可利用
|
||||
|
||||
用户只需导入项目，DeepAudit 便全自动开始工作：识别技术栈 → 分析潜在风险 → 生成脚本 → 沙箱验证 → 生成报告，最终输出一份专业审计报告。
|
||||
|
||||
> **核心理念**: 让 AI 像黑客一样攻击，像专家一样防御。
|
||||
|
||||
## 💡 为什么选择 DeepAudit？
|
||||
|
||||
<div align="center">
|
||||
|
||||
| 😫 传统审计的痛点 | 💡 DeepAudit 解决方案 |
|
||||
| :--- | :--- |
|
||||
| **人工审计效率低**<br>跨不上 CI/CD 代码迭代速度，拖慢发布流程 | **🤖 Multi-Agent 自主审计**<br>AI 自动编排审计策略，全天候自动化执行 |
|
||||
| **传统工具误报多**<br>缺乏语义理解，每天花费大量时间清洗噪音 | **🧠 RAG 知识库增强**<br>结合代码语义与上下文，大幅降低误报率 |
|
||||
| **数据隐私担忧**<br>担心核心源码泄露给云端 AI，无法满足合规要求 | **🔒 支持 Ollama 本地部署**<br>数据不出内网，支持 Llama3/DeepSeek 等本地模型 |
|
||||
| **无法确认真实性**<br>外包项目漏洞多，不知道哪些漏洞真实可被利用 | **💥 沙箱 PoC 验证**<br>自动生成并执行攻击脚本，确认漏洞真实危害 |
|
||||
|
||||
</div>
|
||||
|
||||
---
|
||||
|
||||
## 🏗️ 系统架构
|
||||
|
||||
### 整体架构图
|
||||
|
||||
DeepAudit 采用微服务架构，核心由 Multi-Agent 引擎驱动。
|
||||
|
||||
<div align="center">
|
||||
<img src="frontend/public/images/README-show/架构图.png" alt="DeepAudit 架构图" width="90%">
|
||||
</div>
|
||||
|
||||
### 🔄 审计工作流
|
||||
|
||||
| 步骤 | 阶段 | 负责 Agent | 主要动作 |
|
||||
|:---:|:---:|:---:|:---|
|
||||
| 1 | **策略规划** | **Orchestrator** | 接收审计任务，分析项目类型，制定审计计划，下发任务给子 Agent |
|
||||
| 2 | **信息收集** | **Recon Agent** | 扫描项目结构，识别框架/库/API，提取攻击面（Entry Points） |
|
||||
| 3 | **漏洞挖掘** | **Analysis Agent** | 结合 RAG 知识库与 AST 分析，深度审查代码，发现潜在漏洞 |
|
||||
| 4 | **PoC 验证** | **Verification Agent** | **(关键)** 编写 PoC 脚本，在 Docker 沙箱中执行。如失败则自我修正重试 |
|
||||
| 5 | **报告生成** | **Orchestrator** | 汇总所有发现，剔除被验证为误报的漏洞，生成最终报告 |
|
||||
|
||||
### 📂 项目代码结构
|
||||
|
||||
```text
|
||||
DeepAudit/
|
||||
├── backend/ # Python FastAPI 后端
|
||||
│ ├── app/
|
||||
│ │ ├── agents/ # Multi-Agent 核心逻辑
|
||||
│ │ │ ├── orchestrator.py # 总指挥：任务编排
|
||||
│ │ │ ├── recon.py # 侦察兵：资产识别
|
||||
│ │ │ ├── analysis.py # 分析师：漏洞挖掘
|
||||
│ │ │ └── verification.py # 验证者：沙箱 PoC
|
||||
│ │ ├── core/ # 核心配置与沙箱接口
|
||||
│ │ ├── models/ # 数据库模型
|
||||
│ │ └── services/ # RAG, LLM 服务封装
|
||||
│ └── tests/ # 单元测试
|
||||
├── frontend/ # React + TypeScript 前端
|
||||
│ ├── src/
|
||||
│ │ ├── components/ # UI 组件库
|
||||
│ │ ├── pages/ # 页面路由
|
||||
│ │ └── stores/ # Zustand 状态管理
|
||||
├── docker/ # Docker 部署配置
|
||||
│ ├── sandbox/ # 安全沙箱镜像构建
|
||||
│ └── postgres/ # 数据库初始化
|
||||
└── docs/ # 详细文档
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🚀 快速开始
|
||||
|
||||
### 方式一：一行命令部署（推荐）
|
||||
|
||||
使用预构建的 Docker 镜像，无需克隆代码，一行命令即可启动：
|
||||
|
||||
```bash
|
||||
curl -fsSL https://raw.githubusercontent.com/lintsinghua/DeepAudit/v3.0.0/docker-compose.prod.yml | docker compose -f - up -d
|
||||
```
|
||||
|
||||
## 🇨🇳 国内加速部署（作者亲测非常无敌之快）
|
||||
|
||||
使用南京大学镜像站加速拉取 Docker 镜像（将 `ghcr.io` 替换为 `ghcr.nju.edu.cn`）：
|
||||
|
||||
```bash
|
||||
# 国内加速版 - 使用南京大学 GHCR 镜像站
|
||||
curl -fsSL https://raw.githubusercontent.com/lintsinghua/DeepAudit/v3.0.0/docker-compose.prod.cn.yml | docker compose -f - up -d
|
||||
```
|
||||
<details>
|
||||
<summary>手动拉取镜像（如需单独拉取）（点击展开）</summary>
|
||||
|
||||
```bash
|
||||
# 前端镜像
|
||||
docker pull ghcr.nju.edu.cn/lintsinghua/deepaudit-frontend:latest
|
||||
|
||||
# 后端镜像
|
||||
docker pull ghcr.nju.edu.cn/lintsinghua/deepaudit-backend:latest
|
||||
|
||||
# 沙箱镜像
|
||||
docker pull ghcr.nju.edu.cn/lintsinghua/deepaudit-sandbox:latest
|
||||
```
|
||||
</details>
|
||||
|
||||
> 💡 镜像源由 [南京大学开源镜像站](https://mirrors.nju.edu.cn/) 提供支持
|
||||
|
||||
> 🎉 **启动成功！** 访问 http://localhost:3000 开始体验。
|
||||
|
||||
---
|
||||
|
||||
### 方式二：克隆代码部署
|
||||
|
||||
适合需要自定义配置或二次开发的用户：
|
||||
|
||||
```bash
|
||||
# 1. 克隆项目
|
||||
git clone https://github.com/lintsinghua/DeepAudit.git && cd DeepAudit
|
||||
|
||||
# 2. 配置环境变量
|
||||
cp backend/env.example backend/.env
|
||||
# 编辑 backend/.env 填入你的 LLM API Key
|
||||
|
||||
# 3. 一键启动
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
> 首次启动会自动构建沙箱镜像，可能需要几分钟。
|
||||
|
||||
---
|
||||
|
||||
## 🔧 源码开发指南
|
||||
|
||||
适合开发者进行二次开发调试。
|
||||
|
||||
### 环境要求
|
||||
- Python 3.11+
|
||||
- Node.js 20+
|
||||
- PostgreSQL 15+
|
||||
- Docker (用于沙箱)
|
||||
|
||||
### 1. 后端启动
|
||||
|
||||
```bash
|
||||
cd backend
|
||||
# 使用 uv 管理环境（推荐）
|
||||
uv sync
|
||||
source .venv/bin/activate
|
||||
|
||||
# 启动 API 服务
|
||||
uvicorn app.main:app --reload
|
||||
```
|
||||
|
||||
### 2. 前端启动
|
||||
|
||||
```bash
|
||||
cd frontend
|
||||
pnpm install
|
||||
pnpm dev
|
||||
```
|
||||
|
||||
### 3. 沙箱环境
|
||||
|
||||
开发模式下需要本地 Docker 拉取沙箱镜像：
|
||||
|
||||
```bash
|
||||
# 标准拉取
|
||||
docker pull ghcr.io/lintsinghua/deepaudit-sandbox:latest
|
||||
|
||||
# 国内加速（南京大学镜像站）
|
||||
docker pull ghcr.nju.edu.cn/lintsinghua/deepaudit-sandbox:latest
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🤖 Multi-Agent 智能审计
|
||||
|
||||
### 支持的漏洞类型
|
||||
|
||||
<table>
|
||||
<tr>
|
||||
<td>
|
||||
|
||||
| 漏洞类型 | 描述 |
|
||||
|---------|------|
|
||||
| `sql_injection` | SQL 注入 |
|
||||
| `xss` | 跨站脚本攻击 |
|
||||
| `command_injection` | 命令注入 |
|
||||
| `path_traversal` | 路径遍历 |
|
||||
| `ssrf` | 服务端请求伪造 |
|
||||
| `xxe` | XML 外部实体注入 |
|
||||
|
||||
</td>
|
||||
<td>
|
||||
|
||||
| 漏洞类型 | 描述 |
|
||||
|---------|------|
|
||||
| `insecure_deserialization` | 不安全反序列化 |
|
||||
| `hardcoded_secret` | 硬编码密钥 |
|
||||
| `weak_crypto` | 弱加密算法 |
|
||||
| `authentication_bypass` | 认证绕过 |
|
||||
| `authorization_bypass` | 授权绕过 |
|
||||
| `idor` | 不安全直接对象引用 |
|
||||
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
> 📖 详细文档请查看 **[Agent 审计指南](docs/AGENT_AUDIT.md)**
|
||||
|
||||
---
|
||||
|
||||
## 🔌 支持的 LLM 平台
|
||||
|
||||
<table>
|
||||
<tr>
|
||||
<td align="center" width="33%">
|
||||
<h3>🌍 国际平台</h3>
|
||||
<p>
|
||||
OpenAI GPT-4o / GPT-4<br/>
|
||||
Claude 3.5 Sonnet / Opus<br/>
|
||||
Google Gemini Pro<br/>
|
||||
DeepSeek V3
|
||||
</p>
|
||||
</td>
|
||||
<td align="center" width="33%">
|
||||
<h3>🇨🇳 国内平台</h3>
|
||||
<p>
|
||||
通义千问 Qwen<br/>
|
||||
智谱 GLM-4<br/>
|
||||
Moonshot Kimi<br/>
|
||||
文心一言 · MiniMax · 豆包
|
||||
</p>
|
||||
</td>
|
||||
<td align="center" width="33%">
|
||||
<h3>🏠 本地部署</h3>
|
||||
<p>
|
||||
<strong>Ollama</strong><br/>
|
||||
Llama3 · Qwen2.5 · CodeLlama<br/>
|
||||
DeepSeek-Coder · Codestral<br/>
|
||||
<em>代码不出内网</em>
|
||||
</p>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
> 💡 支持 API 中转站，解决网络访问问题 | 详细配置 → [LLM 平台支持](docs/LLM_PROVIDERS.md)
|
||||
|
||||
---
|
||||
|
||||
## 🎯 功能矩阵
|
||||
|
||||
| 功能 | 说明 | 模式 |
|
||||
|------|------|------|
|
||||
| 🤖 **Agent 深度审计** | Multi-Agent 协作，自主编排审计策略 | Agent |
|
||||
| 🧠 **RAG 知识增强** | 代码语义理解，CWE/CVE 知识库检索 | Agent |
|
||||
| 🔒 **沙箱 PoC 验证** | Docker 隔离执行，验证漏洞有效性 | Agent |
|
||||
| 🗂️ **项目管理** | GitHub/GitLab 导入，ZIP 上传，10+ 语言支持 | 通用 |
|
||||
| ⚡ **即时分析** | 代码片段秒级分析，粘贴即用 | 通用 |
|
||||
| 🔍 **五维检测** | Bug · 安全 · 性能 · 风格 · 可维护性 | 通用 |
|
||||
| 💡 **What-Why-How** | 精准定位 + 原因解释 + 修复建议 | 通用 |
|
||||
| 📋 **审计规则** | 内置 OWASP Top 10，支持自定义规则集 | 通用 |
|
||||
| 📝 **提示词模板** | 可视化管理，支持中英文双语 | 通用 |
|
||||
| 📊 **报告导出** | PDF / Markdown / JSON 一键导出 | 通用 |
|
||||
| ⚙️ **运行时配置** | 浏览器配置 LLM，无需重启服务 | 通用 |
|
||||
|
||||
## 🦖 发展路线图
|
||||
|
||||
我们正在持续演进，未来将支持更多语言和更强大的 Agent 能力。
|
||||
|
||||
- [x] 基础静态分析，集成 Semgrep
|
||||
- [x] 引入 RAG 知识库，支持 Docker 安全沙箱
|
||||
- [x] **Multi-Agent 协作架构** (Current)
|
||||
- [ ] 支持更真实的模拟服务环境，进行更真实漏洞验证流程
|
||||
- [ ] 沙箱从function_call优化集成为稳定MCP服务
|
||||
- [ ] **自动修复 (Auto-Fix)**: Agent 直接提交 PR 修复漏洞
|
||||
- [ ] **增量PR审计**: 持续跟踪 PR 变更，智能分析漏洞，并集成CI/CD流程
|
||||
- [ ] **优化RAG**: 支持自定义知识库
|
||||
|
||||
---
|
||||
|
||||
## 🤝 贡献与社区
|
||||
|
||||
### 贡献指南
|
||||
我们非常欢迎您的贡献！无论是提交 Issue、PR 还是完善文档。
|
||||
请查看 [CONTRIBUTING.md](./CONTRIBUTING.md) 了解详情。
|
||||
|
||||
### 📬 联系作者
|
||||
|
||||
<div align="center">
|
||||
|
||||
**欢迎大家来和我交流探讨！无论是技术问题、功能建议还是合作意向，都期待与你沟通~**
|
||||
|
||||
| 联系方式 | |
|
||||
|:---:|:---:|
|
||||
| 📧 **邮箱** | **lintsinghua@qq.com** |
|
||||
| 🐙 **GitHub** | [@lintsinghua](https://github.com/lintsinghua) |
|
||||
|
||||
</div>
|
||||
|
||||
## 📄 许可证
|
||||
|
||||
本项目采用 [AGPL-3.0 License](LICENSE) 开源。
|
||||
|
||||
## 📈 项目热度
|
||||
|
||||
<a href="https://star-history.com/#lintsinghua/DeepAudit&Date">
|
||||
<picture>
|
||||
<source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=lintsinghua/DeepAudit&type=Date&theme=dark" />
|
||||
<source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=lintsinghua/DeepAudit&type=Date" />
|
||||
<img alt="Star History Chart" src="https://api.star-history.com/svg?repos=lintsinghua/DeepAudit&type=Date" />
|
||||
</picture>
|
||||
</a>
|
||||
|
||||
---
|
||||
|
||||
<div align="center">
|
||||
<strong>Made with ❤️ by <a href="https://github.com/lintsinghua">lintsinghua</a></strong>
|
||||
</div>
|
||||
|
||||
---
|
||||
|
||||
## 致谢
|
||||
|
||||
感谢以下开源项目的支持：
|
||||
|
||||
[FastAPI](https://fastapi.tiangolo.com/) · [LangChain](https://langchain.com/) · [LangGraph](https://langchain-ai.github.io/langgraph/) · [ChromaDB](https://www.trychroma.com/) · [LiteLLM](https://litellm.ai/) · [Tree-sitter](https://tree-sitter.github.io/) · [Kunlun-M](https://github.com/LoRexxar/Kunlun-M) · [Strix](https://github.com/usestrix/strix) · [React](https://react.dev/) · [Vite](https://vitejs.dev/) · [Radix UI](https://www.radix-ui.com/) · [TailwindCSS](https://tailwindcss.com/) · [shadcn/ui](https://ui.shadcn.com/)
|
||||
|
||||
---
|
||||
|
||||
## ⚠️ 重要安全声明
|
||||
|
||||
### 法律合规声明
|
||||
1. 禁止**任何未经授权的漏洞测试、渗透测试或安全评估**
|
||||
2. 本项目仅供网络空间安全学术研究、教学和学习使用
|
||||
3. 严禁将本项目用于任何非法目的或未经授权的安全测试
|
||||
|
||||
### 漏洞上报责任
|
||||
1. 发现任何安全漏洞时，请及时通过合法渠道上报
|
||||
2. 严禁利用发现的漏洞进行非法活动
|
||||
3. 遵守国家网络安全法律法规，维护网络空间安全
|
||||
|
||||
### 使用限制
|
||||
- 仅限在授权环境下用于教育和研究目的
|
||||
- 禁止用于对未授权系统进行安全测试
|
||||
- 使用者需对自身行为承担全部法律责任
|
||||
|
||||
### 免责声明
|
||||
作者不对任何因使用本项目而导致的直接或间接损失负责，使用者需对自身行为承担全部法律责任。
|
||||
|
||||
---
|
||||
|
||||
## 📖 详细安全政策
|
||||
|
||||
有关安装政策、免责声明、代码隐私、API使用安全和漏洞报告的详细信息，请参阅 [DISCLAIMER.md](DISCLAIMER.md) 和 [SECURITY.md](SECURITY.md) 文件。
|
||||
|
||||
### 快速参考
|
||||
- 🔒 **代码隐私警告**: 您的代码将被发送到所选择的LLM服务商服务器
|
||||
- 🛡️ **敏感代码处理**: 使用本地模型处理敏感代码
|
||||
- ⚠️ **合规要求**: 遵守数据保护和隐私法律法规
|
||||
- 📧 **漏洞报告**: 发现安全问题请通过合法渠道上报
|
||||
427
README_EN.md
427
README_EN.md
|
|
@ -1,427 +0,0 @@
|
|||
# DeepAudit - Your AI Security Audit Team, Making Vulnerability Discovery Accessible
|
||||
|
||||
> Making code vulnerability discovery as easy as breathing, even beginners can find bugs
|
||||
|
||||
<p align="center">
|
||||
<a href="README.md">简体中文</a> | <strong>English</strong>
|
||||
</p>
|
||||
|
||||
<div style="width: 100%; max-width: 600px; margin: 0 auto;">
|
||||
<img src="frontend/public/images/logo.png" alt="DeepAudit Logo" style="width: 100%; height: auto; display: block; margin: 0 auto;">
|
||||
</div>
|
||||
|
||||
<div align="center">
|
||||
|
||||
[](https://github.com/lintsinghua/DeepAudit/releases)
|
||||
[](https://www.gnu.org/licenses/agpl-3.0)
|
||||
[](https://reactjs.org/)
|
||||
[](https://www.typescriptlang.org/)
|
||||
[](https://fastapi.tiangolo.com/)
|
||||
[](https://www.python.org/)
|
||||
[](https://deepwiki.com/lintsinghua/DeepAudit)
|
||||
|
||||
[](https://github.com/lintsinghua/DeepAudit/stargazers)
|
||||
[](https://github.com/lintsinghua/DeepAudit/network/members)
|
||||
|
||||
<a href="https://trendshift.io/repositories/15634" target="_blank"><img src="https://trendshift.io/api/badge/repositories/15634" alt="lintsinghua%2FDeepAudit | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
|
||||
|
||||
|
||||
</div>
|
||||
|
||||
<div align="center">
|
||||
<img src="frontend/public/DeepAudit.gif" alt="DeepAudit Demo" width="90%">
|
||||
</div>
|
||||
|
||||
---
|
||||
|
||||
|
||||
|
||||
## Screenshots
|
||||
|
||||
<div align="center">
|
||||
|
||||
### Agent Audit Entry
|
||||
|
||||
<img src="frontend/public/images/README-show/Agent审计入口（首页）.png" alt="Agent Audit Entry" width="90%">
|
||||
|
||||
*Quick access to Multi-Agent deep audit from homepage*
|
||||
|
||||
</div>
|
||||
|
||||
<table>
|
||||
<tr>
|
||||
<td width="50%" align="center">
|
||||
<strong>Audit Flow Logs</strong><br/><br/>
|
||||
<img src="frontend/public/images/README-show/审计流日志.png" alt="Audit Flow Logs" width="95%"><br/>
|
||||
<em>Real-time view of Agent thinking and execution process</em>
|
||||
</td>
|
||||
<td width="50%" align="center">
|
||||
<strong>Smart Dashboard</strong><br/><br/>
|
||||
<img src="frontend/public/images/README-show/仪表盘.png" alt="Dashboard" width="95%"><br/>
|
||||
<em>Grasp project security posture at a glance</em>
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td width="50%" align="center">
|
||||
<strong>Instant Analysis</strong><br/><br/>
|
||||
<img src="frontend/public/images/README-show/即时分析.png" alt="Instant Analysis" width="95%"><br/>
|
||||
<em>Paste code / upload files, get results in seconds</em>
|
||||
</td>
|
||||
<td width="50%" align="center">
|
||||
<strong>Project Management</strong><br/><br/>
|
||||
<img src="frontend/public/images/README-show/项目管理.png" alt="Project Management" width="95%"><br/>
|
||||
<em>GitHub/GitLab import, multi-project collaboration</em>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
<div align="center">
|
||||
|
||||
### Professional Reports
|
||||
|
||||
<img src="frontend/public/images/README-show/审计报告示例.png" alt="Audit Report" width="90%">
|
||||
|
||||
*One-click export to PDF / Markdown / JSON* (Quick mode shown, not Agent mode report)
|
||||
|
||||
[View Full Agent Audit Report Example](https://lintsinghua.github.io/)
|
||||
|
||||
</div>
|
||||
|
||||
---
|
||||
|
||||
## Overview
|
||||
|
||||
**DeepAudit** is a next-generation code security audit platform based on **Multi-Agent collaborative architecture**. It's not just a static scanning tool, but simulates the thinking patterns of security experts through autonomous collaboration of multiple agents (**Orchestrator**, **Recon**, **Analysis**, **Verification**), achieving deep code understanding, vulnerability discovery, and **automated sandbox PoC verification**.
|
||||
|
||||
We are committed to solving three major pain points of traditional SAST tools:
|
||||
- **High false positive rate** — Lack of semantic understanding, massive false positives consume manpower
|
||||
- **Business logic blind spots** — Cannot understand cross-file calls and complex logic
|
||||
- **Lack of verification methods** — Don't know if vulnerabilities are actually exploitable
|
||||
|
||||
Users only need to import a project, and DeepAudit automatically starts working: identify tech stack → analyze potential risks → generate scripts → sandbox verification → generate report, ultimately outputting a professional audit report.
|
||||
|
||||
> **Core Philosophy**: Let AI attack like a hacker, defend like an expert.
|
||||
|
||||
## Why Choose DeepAudit?
|
||||
|
||||
<div align="center">
|
||||
|
||||
| Traditional Audit Pain Points | DeepAudit Solutions |
|
||||
| :--- | :--- |
|
||||
| **Low manual audit efficiency**<br>Can't keep up with CI/CD iteration speed, slowing release process | **Multi-Agent Autonomous Audit**<br>AI automatically orchestrates audit strategies, 24/7 automated execution |
|
||||
| **Too many false positives**<br>Lack of semantic understanding, spending lots of time cleaning noise daily | **RAG Knowledge Enhancement**<br>Combining code semantics with context, significantly reducing false positives |
|
||||
| **Data privacy concerns**<br>Worried about core source code leaking to cloud AI, can't meet compliance requirements | **Ollama Local Deployment Support**<br>Data stays on-premises, supports Llama3/DeepSeek and other local models |
|
||||
| **Can't confirm authenticity**<br>Outsourced projects have many vulnerabilities, don't know which are truly exploitable | **Sandbox PoC Verification**<br>Automatically generate and execute attack scripts, confirm real vulnerability impact |
|
||||
|
||||
</div>
|
||||
|
||||
---
|
||||
|
||||
## System Architecture
|
||||
|
||||
### Architecture Diagram
|
||||
|
||||
DeepAudit adopts microservices architecture, driven by the Multi-Agent engine at its core.
|
||||
|
||||
<div align="center">
|
||||
<img src="frontend/public/images/README-show/架构图.png" alt="DeepAudit Architecture" width="90%">
|
||||
</div>
|
||||
|
||||
### Audit Workflow
|
||||
|
||||
| Step | Phase | Responsible Agent | Main Actions |
|
||||
|:---:|:---:|:---:|:---|
|
||||
| 1 | **Strategy Planning** | **Orchestrator** | Receive audit task, analyze project type, formulate audit plan, dispatch tasks to sub-agents |
|
||||
| 2 | **Information Gathering** | **Recon Agent** | Scan project structure, identify frameworks/libraries/APIs, extract attack surface (Entry Points) |
|
||||
| 3 | **Vulnerability Discovery** | **Analysis Agent** | Combine RAG knowledge base with AST analysis, deep code review, discover potential vulnerabilities |
|
||||
| 4 | **PoC Verification** | **Verification Agent** | **(Critical)** Write PoC scripts, execute in Docker sandbox. Self-correct and retry if failed |
|
||||
| 5 | **Report Generation** | **Orchestrator** | Aggregate all findings, filter out verified false positives, generate final report |
|
||||
|
||||
### Project Structure
|
||||
|
||||
```text
|
||||
DeepAudit/
|
||||
├── backend/ # Python FastAPI Backend
|
||||
│ ├── app/
|
||||
│ │ ├── agents/ # Multi-Agent Core Logic
|
||||
│ │ │ ├── orchestrator.py # Commander: Task Orchestration
|
||||
│ │ │ ├── recon.py # Scout: Asset Identification
|
||||
│ │ │ ├── analysis.py # Analyst: Vulnerability Discovery
|
||||
│ │ │ └── verification.py # Verifier: Sandbox PoC
|
||||
│ │ ├── core/ # Core Config & Sandbox Interface
|
||||
│ │ ├── models/ # Database Models
|
||||
│ │ └── services/ # RAG, LLM Service Wrappers
|
||||
│ └── tests/ # Unit Tests
|
||||
├── frontend/ # React + TypeScript Frontend
|
||||
│ ├── src/
|
||||
│ │ ├── components/ # UI Component Library
|
||||
│ │ ├── pages/ # Page Routes
|
||||
│ │ └── stores/ # Zustand State Management
|
||||
├── docker/ # Docker Deployment Config
|
||||
│ ├── sandbox/ # Security Sandbox Image Build
|
||||
│ └── postgres/ # Database Initialization
|
||||
└── docs/ # Detailed Documentation
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Quick Start
|
||||
|
||||
### Option 1: One-Line Deployment (Recommended)
|
||||
|
||||
Using pre-built Docker images, no need to clone code, start with one command:
|
||||
|
||||
```bash
|
||||
curl -fsSL https://raw.githubusercontent.com/lintsinghua/DeepAudit/v3.0.0/docker-compose.prod.yml | docker compose -f - up -d
|
||||
```
|
||||
|
||||
> **Success!** Visit http://localhost:3000 to start exploring.
|
||||
|
||||
---
|
||||
|
||||
### Option 2: Clone and Deploy
|
||||
|
||||
Suitable for users who need custom configuration or secondary development:
|
||||
|
||||
```bash
|
||||
# 1. Clone project
|
||||
git clone https://github.com/lintsinghua/DeepAudit.git && cd DeepAudit
|
||||
|
||||
# 2. Configure environment variables
|
||||
cp backend/env.example backend/.env
|
||||
# Edit backend/.env and fill in your LLM API Key
|
||||
|
||||
# 3. One-click start
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
> First startup will automatically build the sandbox image, which may take a few minutes.
|
||||
|
||||
---
|
||||
|
||||
## Development Guide
|
||||
|
||||
For developers doing secondary development and debugging.
|
||||
|
||||
### Requirements
|
||||
- Python 3.11+
|
||||
- Node.js 20+
|
||||
- PostgreSQL 15+
|
||||
- Docker (for sandbox)
|
||||
|
||||
### 1. Backend Setup
|
||||
|
||||
```bash
|
||||
cd backend
|
||||
# Use uv for environment management (recommended)
|
||||
uv sync
|
||||
source .venv/bin/activate
|
||||
|
||||
# Start API service
|
||||
uvicorn app.main:app --reload
|
||||
```
|
||||
|
||||
### 2. Frontend Setup
|
||||
|
||||
```bash
|
||||
cd frontend
|
||||
pnpm install
|
||||
pnpm dev
|
||||
```
|
||||
|
||||
### 3. Sandbox Environment
|
||||
|
||||
Development mode requires pulling the sandbox image locally:
|
||||
|
||||
```bash
|
||||
docker pull ghcr.io/lintsinghua/deepaudit-sandbox:latest
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Multi-Agent Intelligent Audit
|
||||
|
||||
### Supported Vulnerability Types
|
||||
|
||||
<table>
|
||||
<tr>
|
||||
<td>
|
||||
|
||||
| Vulnerability Type | Description |
|
||||
|---------|------|
|
||||
| `sql_injection` | SQL Injection |
|
||||
| `xss` | Cross-Site Scripting |
|
||||
| `command_injection` | Command Injection |
|
||||
| `path_traversal` | Path Traversal |
|
||||
| `ssrf` | Server-Side Request Forgery |
|
||||
| `xxe` | XML External Entity Injection |
|
||||
|
||||
</td>
|
||||
<td>
|
||||
|
||||
| Vulnerability Type | Description |
|
||||
|---------|------|
|
||||
| `insecure_deserialization` | Insecure Deserialization |
|
||||
| `hardcoded_secret` | Hardcoded Secrets |
|
||||
| `weak_crypto` | Weak Cryptography |
|
||||
| `authentication_bypass` | Authentication Bypass |
|
||||
| `authorization_bypass` | Authorization Bypass |
|
||||
| `idor` | Insecure Direct Object Reference |
|
||||
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
> For detailed documentation, see **[Agent Audit Guide](docs/AGENT_AUDIT.md)**
|
||||
|
||||
---
|
||||
|
||||
## Supported LLM Platforms
|
||||
|
||||
<table>
|
||||
<tr>
|
||||
<td align="center" width="33%">
|
||||
<h3>International Platforms</h3>
|
||||
<p>
|
||||
OpenAI GPT-4o / GPT-4<br/>
|
||||
Claude 3.5 Sonnet / Opus<br/>
|
||||
Google Gemini Pro<br/>
|
||||
DeepSeek V3
|
||||
</p>
|
||||
</td>
|
||||
<td align="center" width="33%">
|
||||
<h3>Chinese Platforms</h3>
|
||||
<p>
|
||||
Qwen (Tongyi Qianwen)<br/>
|
||||
Zhipu GLM-4<br/>
|
||||
Moonshot Kimi<br/>
|
||||
Wenxin · MiniMax · Doubao
|
||||
</p>
|
||||
</td>
|
||||
<td align="center" width="33%">
|
||||
<h3>Local Deployment</h3>
|
||||
<p>
|
||||
<strong>Ollama</strong><br/>
|
||||
Llama3 · Qwen2.5 · CodeLlama<br/>
|
||||
DeepSeek-Coder · Codestral<br/>
|
||||
<em>Code stays on-premises</em>
|
||||
</p>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
> Supports API proxies to solve network access issues | Detailed configuration → [LLM Platform Support](docs/LLM_PROVIDERS.md)
|
||||
|
||||
---
|
||||
|
||||
## Feature Matrix
|
||||
|
||||
| Feature | Description | Mode |
|
||||
|------|------|------|
|
||||
| **Agent Deep Audit** | Multi-Agent collaboration, autonomous audit strategy orchestration | Agent |
|
||||
| **RAG Knowledge Enhancement** | Code semantic understanding, CWE/CVE knowledge base retrieval | Agent |
|
||||
| **Sandbox PoC Verification** | Docker isolated execution, verify vulnerability validity | Agent |
|
||||
| **Project Management** | GitHub/GitLab import, ZIP upload, 10+ language support | General |
|
||||
| **Instant Analysis** | Code snippet analysis in seconds, paste and use | General |
|
||||
| **Five-Dimensional Detection** | Bug · Security · Performance · Style · Maintainability | General |
|
||||
| **What-Why-How** | Precise location + cause explanation + fix suggestions | General |
|
||||
| **Audit Rules** | Built-in OWASP Top 10, supports custom rule sets | General |
|
||||
| **Prompt Templates** | Visual management, bilingual support | General |
|
||||
| **Report Export** | One-click export to PDF / Markdown / JSON | General |
|
||||
| **Runtime Configuration** | Configure LLM in browser, no service restart needed | General |
|
||||
|
||||
## Roadmap
|
||||
|
||||
We are continuously evolving, with more language support and stronger Agent capabilities coming.
|
||||
|
||||
- [x] Basic static analysis, Semgrep integration
|
||||
- [x] RAG knowledge base introduction, Docker security sandbox support
|
||||
- [x] **Multi-Agent Collaborative Architecture** (Current)
|
||||
- [ ] Support for more realistic simulated service environments for more authentic vulnerability verification
|
||||
- [ ] Optimize sandbox from function_call to stable MCP service
|
||||
- [ ] **Auto-Fix**: Agent directly submits PRs to fix vulnerabilities
|
||||
- [ ] **Incremental PR Audit**: Continuously track PR changes, intelligently analyze vulnerabilities, integrate with CI/CD
|
||||
- [ ] **Optimized RAG**: Support custom knowledge bases
|
||||
|
||||
---
|
||||
|
||||
## Contributing & Community
|
||||
|
||||
### Contributing Guide
|
||||
We warmly welcome your contributions! Whether it's submitting Issues, PRs, or improving documentation.
|
||||
Please check [CONTRIBUTING.md](./CONTRIBUTING.md) for details.
|
||||
|
||||
### Contact
|
||||
|
||||
<div align="center">
|
||||
|
||||
**Feel free to reach out for technical discussions, feature suggestions, or collaboration opportunities!**
|
||||
|
||||
| Contact | |
|
||||
|:---:|:---:|
|
||||
| **Email** | **lintsinghua@qq.com** |
|
||||
| **GitHub** | [@lintsinghua](https://github.com/lintsinghua) |
|
||||
|
||||
</div>
|
||||
|
||||
## License
|
||||
|
||||
This project is open-sourced under the [AGPL-3.0 License](LICENSE).
|
||||
|
||||
## Star History
|
||||
|
||||
<a href="https://star-history.com/#lintsinghua/DeepAudit&Date">
|
||||
<picture>
|
||||
<source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=lintsinghua/DeepAudit&type=Date&theme=dark" />
|
||||
<source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=lintsinghua/DeepAudit&type=Date" />
|
||||
<img alt="Star History Chart" src="https://api.star-history.com/svg?repos=lintsinghua/DeepAudit&type=Date" />
|
||||
</picture>
|
||||
</a>
|
||||
|
||||
---
|
||||
|
||||
<div align="center">
|
||||
<strong>Made with ❤️ by <a href="https://github.com/lintsinghua">lintsinghua</a></strong>
|
||||
</div>
|
||||
|
||||
---
|
||||
|
||||
## Acknowledgements
|
||||
|
||||
Thanks to the following open-source projects for their support:
|
||||
|
||||
[FastAPI](https://fastapi.tiangolo.com/) · [LangChain](https://langchain.com/) · [LangGraph](https://langchain-ai.github.io/langgraph/) · [ChromaDB](https://www.trychroma.com/) · [LiteLLM](https://litellm.ai/) · [Tree-sitter](https://tree-sitter.github.io/) · [Kunlun-M](https://github.com/LoRexxar/Kunlun-M) · [Strix](https://github.com/usestrix/strix) · [React](https://react.dev/) · [Vite](https://vitejs.dev/) · [Radix UI](https://www.radix-ui.com/) · [TailwindCSS](https://tailwindcss.com/) · [shadcn/ui](https://ui.shadcn.com/)
|
||||
|
||||
---
|
||||
|
||||
## Important Security Notice
|
||||
|
||||
### Legal Compliance Statement
|
||||
1. **Any unauthorized vulnerability testing, penetration testing, or security assessment is prohibited**
|
||||
2. This project is only for cybersecurity academic research, teaching, and learning purposes
|
||||
3. It is strictly prohibited to use this project for any illegal purposes or unauthorized security testing
|
||||
|
||||
### Vulnerability Reporting Responsibility
|
||||
1. When discovering any security vulnerabilities, please report them through legitimate channels promptly
|
||||
2. It is strictly prohibited to use discovered vulnerabilities for illegal activities
|
||||
3. Comply with national cybersecurity laws and regulations, maintain cyberspace security
|
||||
|
||||
### Usage Restrictions
|
||||
- Only for educational and research purposes in authorized environments
|
||||
- Prohibited for security testing on unauthorized systems
|
||||
- Users are fully responsible for their own actions
|
||||
|
||||
### Disclaimer
|
||||
The author is not responsible for any direct or indirect losses caused by the use of this project. Users bear full legal responsibility for their own actions.
|
||||
|
||||
---
|
||||
|
||||
## Detailed Security Policy
|
||||
|
||||
For detailed information about installation policy, disclaimer, code privacy, API usage security, and vulnerability reporting, please refer to [DISCLAIMER.md](DISCLAIMER.md) and [SECURITY.md](SECURITY.md) files.
|
||||
|
||||
### Quick Reference
|
||||
- **Code Privacy Warning**: Your code will be sent to the selected LLM provider's servers
|
||||
- **Sensitive Code Handling**: Use local models for sensitive code
|
||||
- **Compliance Requirements**: Comply with data protection and privacy laws
|
||||
- **Vulnerability Reporting**: Report security issues through legitimate channels
|
||||
Loading…
Reference in New Issue