GlyphicMind-Solutions-MetaTron-Defensive-Security-Scanner - LLM Assisted Defensive Security Tool

项目说明

🛡️ GlyphicMind Solutions — MetaTron — Defensi Scanner

Summary:

MetaTron is a next‑generation defensi scanner that merges
traditional recon tooling with LLM‑dri, risk scoring,
and automated hardening recommendations — all wrapped in a clean,
scalable PyQt5 GUI.

MetaTron is designed for internal network defense, rapid assessment,
and intelligent hardening guidance powered by local GGUF models.

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🚀 Features

🔍 Recon Engine

Nmap‑style port scanning

HTTP/HTTPS header checks

DNS enumeration

Tool a detection

Clipboard‑ready install commands

🧠 LLM Intelligence Engine

Model‑aware prompt builder

Local GGUF model support via llama-cpp-python

Structured output parsing:

-
- Exploits attempted
- Risk level
- Numeric risk score (0–100)
- Hardening checklist
- Summary analysis

🖥️ GUI (PyQt5)

Fully scalable, maximizable interface

Tabs for:

- Scan
- History
- Tools
- Settings

Collapsible sections for clean readability

Auto‑scrolling output

Dark mode toggle

🗂️ Session Database

SQLite‑backed session storage

View past:

- Summaries
-
- Fixes
- Exploits
- Hardening recommendations

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📦 Project Structure

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🧩 Requirements

#### Install dependencies:

Key components:

* PyQt5

* llama-cpp-python

* PyYAML

* psutil

* jsonschema

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🧠 Models

Place your .gguf models in:

Example:

* mistral-7b-instruct-v0.2.2.Q4_K_M.gguf

* gpt-oss-20b-MXFP4.gguf

MetaTron automatically loads the model defined in:

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▶️ Running MetaTron

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🛡️ Defensive‑Only Philosophy

MetaTron is strictly a defensi tool.

It does not generate offensi or unauthorized exploitation steps.

- All analysis focuses on:
* Detection
* Risk assessment
* Hardening
* Internal
* Secure configuration

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📜 License

© 2026 GlyphicMind Solutions LLC
Created by Da (Unconditional Love)
All rights reserved.

#### Contact:
Phone: (913)605-3993
Email:

项目信息

开发语言：Python

Star 数：2

技术要点

该项目属于防护思路方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕LLM Assisted Defensive Security Tool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。