patcha-engine - A modern, comprehensive security scanner that dete

项目说明

🛡️ Patcha AI

*AI‑nati scanner that feeds fixes straight to your AI code editor.*

Why Patcha?

Traditional static scanners stop at "here’s a ". Patcha goes one step further—producing an AI‑optimised report your code editor (Cursor, VS Code Copilot, etc.) can use to auto‑remediate issues. Ship faster, stay secure.

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✨ Features

| Category | Details |
| ---------------------- | ------------------------------------------------------------------------------------- |
| 🧠 AI‑ready report | Outputs shield.json + SARIF so LLMs can consume structured data. |
| 🔍 Deep scanning | Combines Semgrep rules, Tri‑detection & licence checks into a single pass. |
| ⚡ Fast | Multithreaded engine; scans 1000 files in < 30 s on a MacBook M2. |
| 🚀 Plug‑and‑play | One command (patcha /path/to/your/code)—no config required for the first run. |
| 🛡️ Upcoming | LLM‑enhanced false‑positi, dynamic analysis sandbox, MCP agent hardening. |

Installation

> Prereqs: Python 3.9+, macOS/Linux. Windows users can run via WSL2.

Quick Start

Example output (truncated):

📅 Product Roadmap

🎯 Current (A Now)

AI Optimized Analysis

- Code Analysis and Best Practices optimized for AI Digestion
- detection
- CLI Tool integration

🔜 Upcoming

LLM Enhanced Scanning

- Analysis powered by AI with codebase context
- False Positi
- MCP Ser and Integration for AI Agents

📋 Planned

Dynamic Analysis & Threat Modeling

- Business Logic Detection
- Dynamic Code Analysis via LLM
- Threat Modeling and Mitigation

🤝 Contributing

We welcome contributions from the community! Here's how you can help:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

💬 Community

Join our community to stay updated and get help:

Discord Server

Email

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

项目信息

开发语言：Python

Star 数：11

技术要点

该项目属于安全软件方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕A modern, comprehensive security scanner that detects vulnerabilities, secrets, and compliance issues with integrated remediation guidance展开，提供了可运行的实现，对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。

从技术实现角度看，此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论，梳理项目的初始化流程、核心模块职责与数据流转，逐步掌握其中的技术细节与设计思路。

使用与学习建议

1. 下载源码压缩包，解压到本地环境。

2. 根据项目类型准备对应的运行环境与依赖。

3. 按照 README 中的步骤完成配置与部署。

4. 在隔离的测试环境中运行验证，避免影响生产系统。

免责声明

本资源来源于开源社区，仅供安全研究、技术学习与合法授权范围内的攻防演练使用，请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。