🔐 MalwareBytesExtractor: Bridging AI & Cybersecurity

💡 Why This Matters

Security professionals and AI developers rarely work side by side. This project aims to bridge that gap by giving access to real-time cybersecurity data for analysis, training, and visualization. Using this tool, any team can:

• Connect securely to the MalwareBytes API
• Choose your database engine via appsettings.json
• Extract detailed detections with country geolocation
• Visualize attacks in dashboards using ECharts
• Seed prompt examples for AI models (like PeopleWorks GPT)

📦 Features at a Glance

• 🔐 OAuth2 Client Credentials authentication
• 🌍 Geolocation enrichment with source country latitude/longitude
• 📊 Optional HTML dashboard export with ECharts
• 🤖 Prompts table to integrate with AI engines
• 🧭 Mermaid-based architecture documentation
• 📝 MIT license and fully documented setup

📈 Architecture Overview

          graph TD
            A[Console App] -->|Reads| B[appsettings.json]
            A --> C{Database Engine}
            C -->|SQL Server| D[MalwareDetections Table]
            C -->|PostgreSQL| D
            A --> E[NebulaService]
            E --> F[MalwareBytes API]
            A --> G[PromptSeeder]
            A --> H[HtmlDashboardGenerator]
            D --> H
        

📂 Example Use Cases

• Train your AI chatbot to explain security breaches
• Create world maps showing attack patterns by country
• Correlate detection trends over time with dashboard widgets

🔧 Configuration Sample

{
  "Database": {
    "Provider": "SqlServer",
    "SqlServer": "Server=.;Database=SecurityIT;Integrated Security=true;",
    "PostgreSql": "Host=localhost;Database=SecurityIT;Username=postgres;Password=yourpassword"
  },
  "MalwareBytes": {
    "ClientId": "your-client-id",
    "ClientSecret": "your-client-secret",
    "Scope": "read",
    "BaseUrl": "https://api.malwarebytes.com",
    "AccountId": "your-account-id"
  }
}
      

🌐 Project Repository

The full project is available at: github.com/peopleworks/MalwareBytesExtractor