Spyware Detector

It's a Spyware Detector Website Powered by Machine Learning

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📌 README.md

Spyware Detector 🛡️🔍🚀

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. 🖥️📂✨

Features 🌟⚡🔧

• File upload support using Multer 📁
• Input validation with Express Validator ✅
• Logging with Winston 📜
• Environment variable management via Dotenv 🌍
• REST API for scanning files and retrieving logs 🔄

Installation 🛠️📥🚀

Prerequisites 🔑

• Node.js and npm (or pnpm) 🖥️
• Docker (if using containers) 🐳

Steps 🏗️

1. Clone the repository: 📝

   git clone https://github.com/ahmed-n-abdeltwab/spyware-detector.git
   cd spyware-detector/backend

2. Install dependencies: 📦

   npm install  # or pnpm install

3. Set up environment variables: 🌍 Create a .env file and configure it as needed.
4. Start the server: 🚀

   npm start

API Endpoints 🔌📡📝

1. Upload a File 📤🕵️‍♂️🔍

POST /api/upload

Uploads a file for spyware scanning.

Request Body:

• file (multipart/form-data) - The file to scan 📁

Response:

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

2. Get Scan Logs 📜📊📁

GET /api/logs

Retrieves scan logs.

Response:

• Success: { "logs": [...] } ✅

Running with Docker 🐳📦⚡

docker-compose up --build

Contributing 🤝📢🚀

See CONTRIBUTING.md for details.

Security 🔐🛡️✅

For security guidelines, refer to SECURITY.md.

To-Do List 📌📝🔄

Step-by-Step Refactoring Approach 🔄💡⚡

1. Refactor file upload handling 🏗️

   • Improve error handling and validation.
   • Implement async/await for better performance.

2. Implement advanced spyware detection algorithms 🕵️‍♂️💡

   • Use AI/ML-based detection techniques.
   • Optimize performance for large files.

3. Add user authentication and authorization 🔑👤

   • Implement JWT-based authentication.
   • Set role-based access control (RBAC).

4. Improve logging and monitoring 📊📜

   • Integrate centralized logging with Winston & Elasticsearch.
   • Use Prometheus & Grafana for real-time monitoring.

5. Enhance API documentation 📖📝

   • Use OpenAPI (Swagger) to generate API documentation.
   • Improve examples and error message clarity.

6. Create a frontend interface 🎨💻

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

License 📜⚖️✅

This project is licensed under the MIT License.