
Phishing Detection and URL Scanner
Why Choose This Project?
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Phishing is one of the most dangerous cyber threats that tricks users into revealing personal data through fake websites.
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This project detects suspicious or malicious URLs in real-time and protects users from falling victim to phishing scams.
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Ideal for students, enterprises, or browser extension tools that need to verify URLs before user interaction.
What You Get
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Complete Source Code (Frontend + Backend)
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URL Scanner Interface – Paste or enter a URL to scan
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Phishing Detection Engine – Based on heuristics or ML API
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Admin Panel to view history of scanned URLs
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User Panel with secure login
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Real-time Risk Analysis Results with Score
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Full Documentation + Setup Instructions
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Mobile and Desktop Responsive Design
Features That Make It Market-Ready
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Scans URL and fetches metadata like domain age, SSL certificate, URL length
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Blacklist Check using open APIs (PhishTank, Google Safe Browsing, etc.)
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Optionally includes ML-based classifier to predict phishing attempts
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Color-coded Risk Level Indicator (Safe, Suspicious, Dangerous)
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Saves scan history per user with timestamp and verdict
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Admin dashboard with reports and analytics of phishing activity
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Role-Based Access – User & Admin privileges
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REST API support to integrate scanner in other apps
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Clean, modern UI with animations and intuitive feedback
Built With Latest Technology Stack
Layer | Technologies Used |
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Frontend | HTML5, CSS3, Bootstrap 5, JavaScript, Chart.js |
Backend | Node.js (Express), Java (Spring Boot), or PHP (Laravel) |
Database | MongoDB or MySQL |
Security | JWT/Session Tokens, Bcrypt Hashing |
URL Analysis | External API (Google Safe Browsing, VirusTotal, etc.) |
Mail System | SMTP (for alerts if dangerous link is scanned) |