It's a Spyware Detector Website Powered by Machine Learning
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. π₯οΈπβ¨
- File upload support using Multer π
- Input validation with Express Validator β
- Logging with Winston π
- Environment variable management via Dotenv π
- REST API for scanning files and retrieving logs π
- Node.js and npm (or pnpm) π₯οΈ
- Docker (if using containers) π³
- Clone the repository: π
git clone https://github.com/ahmed-n-abdeltwab/spyware-detector.git cd spyware-detector/backend
- Install dependencies: π¦
npm install # or pnpm install
- Set up environment variables: π
Create a
.env
file and configure it as needed. - Start the server: π
npm start
POST /api/upload
Uploads a file for spyware scanning.
Request Body:
file
(multipart/form-data) - The file to scan π
Response:
- Success:
{ "message": "File uploaded successfully", "scanResult": "..." }
β - Error:
{ "error": "Invalid file format" }
β
GET /api/logs
Retrieves scan logs.
Response:
- Success:
{ "logs": [...] }
β
docker-compose up --build
See CONTRIBUTING.md for details.
For security guidelines, refer to SECURITY.md.
-
Refactor file upload handling ποΈ
- Improve error handling and validation.
- Implement async/await for better performance.
-
Implement advanced spyware detection algorithms π΅οΈββοΈπ‘
- Use AI/ML-based detection techniques.
- Optimize performance for large files.
-
Add user authentication and authorization ππ€
- Implement JWT-based authentication.
- Set role-based access control (RBAC).
-
Improve logging and monitoring ππ
- Integrate centralized logging with Winston & Elasticsearch.
- Use Prometheus & Grafana for real-time monitoring.
-
Enhance API documentation ππ
- Use OpenAPI (Swagger) to generate API documentation.
- Improve examples and error message clarity.
-
Create a frontend interface π¨π»
- Develop a simple UI for file uploads and scan results.
- Use React or Vue.js for an interactive experience.
This project is licensed under the MIT License.