URL shortener with link safety predictor
Why Choose This Project
Shortened URLs are commonly used for convenience in emails, social media, and messaging platforms. However, malicious actors often exploit URL shorteners to hide phishing links, malware downloads, or unsafe content. This project not only shortens URLs for ease of sharing but also predicts the safety of the link using real-time scanning and threat intelligence, helping users avoid malicious destinations.
What You Get
A secure platform where users can shorten URLs and simultaneously evaluate their safety. The system uses machine learning models and blacklists to detect suspicious URLs. Users and administrators can track shortened links, analyze click statistics, and receive alerts for unsafe links, making it suitable for organizations, social media platforms, or public URL shortening services.
Key Features
| Feature | Description |
|---|---|
| User Authentication | Secure login for users to manage their shortened URLs |
| URL Shortening | Generate short URLs for long links |
| Link Safety Prediction | Evaluate the safety of URLs using blacklists, heuristics, and ML models |
| Click Tracking | Monitor usage statistics for each shortened URL |
| Real-Time Alerts | Notify users/admin if a shortened URL is detected as unsafe |
| Dashboard Visualization | Display trends, safe vs unsafe links, and click metrics |
| Reporting Module | Export link analytics and safety reports |
| API Integration | REST API to shorten URLs programmatically and check safety |
| Link Expiry & Management | Set expiration date for shortened links or revoke unsafe ones |
Technology Stack
| Layer | Technology |
|---|---|
| Frontend Layer | HTML, CSS, JavaScript, Bootstrap for responsive UI |
| Backend Layer | Node.js (Express) / Java Spring Boot / Python Flask |
| Database Layer | MongoDB / MySQL / PostgreSQL for storing URL mappings and usage data |
| Link Safety Prediction | Python ML models, URL reputation APIs, Google Safe Browsing API |
| Security Layer | HTTPS, JWT / OAuth2 for authentication and role-based access |
| Optional Libraries & APIs | Cron jobs for periodic link safety re-evaluation, Chart.js / D3.js for dashboards |
Working Flow
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User Login – Secure authentication for users to create and manage shortened URLs.
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URL Submission – User submits a long URL to the platform.
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Link Safety Prediction – System evaluates the URL using ML models, reputation databases, and heuristics.
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Short URL Generation – If safe, the system generates a shortened link with a unique ID.
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Click Tracking – Each time a user clicks the short URL, the system logs metadata (IP, geolocation, timestamp).
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Real-Time Alerts – If a URL is found unsafe, the creator/admin receives an immediate notification.
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Dashboard Visualization – Admins and users can view statistics on safe vs unsafe links, click counts, and trends.
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Expiry & Revocation – Users can set expiration for links or revoke them if deemed unsafe.
Main Modules
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Authentication Module → Secure user login and role management
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URL Shortening Module → Convert long URLs to short ones with unique identifiers
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Link Safety Prediction Module → Evaluate URL safety using ML and blacklists
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Click Tracking Module → Record all click events and related metadata
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Alert & Notification Module → Notify users/admins of unsafe URLs
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Dashboard Module → Visualize link safety statistics, clicks, and trends
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Reporting Module → Export analytics and safety reports in CSV/PDF
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API Module → Provide REST API endpoints for shortening and safety checking
Security Features
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HTTPS-secured portal and API endpoints
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JWT/OAuth2 authentication for secure access
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Role-based access control for sensitive modules
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Real-time alerts for unsafe or malicious URLs
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Audit logs for tracking shortened URLs, clicks, and alerts
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Input validation to prevent malicious payloads or XSS via URLs