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Spyware Detector

It's a Spyware Detector Website Powered by Machine Learning

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πŸ“Œ README.md

Spyware Detector πŸ›‘οΈπŸ”πŸš€

Spyware Detector is a Node.js-based backend application that scans uploaded files for potential spyware threats and logs the results. It provides API endpoints for file scanning and log retrieval. πŸ–₯οΈπŸ“‚βœ¨

Features πŸŒŸβš‘πŸ”§

  • File upload support using Multer πŸ“
  • Input validation with Express Validator βœ…
  • Logging with Winston πŸ“œ
  • Environment variable management via Dotenv 🌍
  • REST API for scanning files and retrieving logs πŸ”„

Installation πŸ› οΈπŸ“₯πŸš€

Prerequisites πŸ”‘

  • Node.js and npm (or pnpm) πŸ–₯️
  • Docker (if using containers) 🐳

Steps πŸ—οΈ

  1. Clone the repository: πŸ“
    git clone https://github.com/ahmed-n-abdeltwab/spyware-detector.git
    cd spyware-detector/backend
  2. Install dependencies: πŸ“¦
    npm install  # or pnpm install
  3. Set up environment variables: 🌍 Create a .env file and configure it as needed.
  4. Start the server: πŸš€
    npm start

API Endpoints πŸ”ŒπŸ“‘πŸ“

1. Upload a File πŸ“€πŸ•΅οΈβ€β™‚οΈπŸ”

POST /api/upload

Uploads a file for spyware scanning.

Request Body:

  • file (multipart/form-data) - The file to scan πŸ“

Response:

  • Success: { "message": "File uploaded successfully", "scanResult": "..." } βœ…
  • Error: { "error": "Invalid file format" } ❌

2. Get Scan Logs πŸ“œπŸ“ŠπŸ“

GET /api/logs

Retrieves scan logs.

Response:

  • Success: { "logs": [...] } βœ…

Running with Docker πŸ³πŸ“¦βš‘

docker-compose up --build

Contributing πŸ€πŸ“’πŸš€

See CONTRIBUTING.md for details.

Security πŸ”πŸ›‘οΈβœ…

For security guidelines, refer to SECURITY.md.

To-Do List πŸ“ŒπŸ“πŸ”„

Step-by-Step Refactoring Approach πŸ”„πŸ’‘βš‘

  1. Refactor file upload handling πŸ—οΈ

    • Improve error handling and validation.
    • Implement async/await for better performance.
  2. Implement advanced spyware detection algorithms πŸ•΅οΈβ€β™‚οΈπŸ’‘

    • Use AI/ML-based detection techniques.
    • Optimize performance for large files.
  3. Add user authentication and authorization πŸ”‘πŸ‘€

    • Implement JWT-based authentication.
    • Set role-based access control (RBAC).
  4. Improve logging and monitoring πŸ“ŠπŸ“œ

    • Integrate centralized logging with Winston & Elasticsearch.
    • Use Prometheus & Grafana for real-time monitoring.
  5. Enhance API documentation πŸ“–πŸ“

    • Use OpenAPI (Swagger) to generate API documentation.
    • Improve examples and error message clarity.
  6. Create a frontend interface πŸŽ¨πŸ’»

    • Develop a simple UI for file uploads and scan results.
    • Use React or Vue.js for an interactive experience.

License πŸ“œβš–οΈβœ…

This project is licensed under the MIT License.

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