🛡️ Phishing URL Detection Web App

Analyze. Detect. Protect.

A robust, full-stack web application designed to detect whether a given URL is safe or a potential phishing attack. Built using rule-based detection logic, this application analyzes various aspects of a URL to identify common malicious patterns often used by cybercriminals.

✨ Features

• URL Input & Validation: Clean, user-friendly interface to input and validate URLs in real-time.
• Advanced Phishing Detection:
  • Flags unsecured http:// protocols.
  • Detects the @ symbol used to obscure true destinations.
  • Flags unusually long URLs (>75 characters).
  • Identifies suspicious keywords (e.g., login, verify, bank, secure).
  • Detects raw IP addresses used instead of domain names.
  • Flags common URL shorteners (bit.ly, tinyurl, etc.).
  • Analyzes domains for multiple hyphens or excessive subdomains.
• Dynamic Result Display: Clearly indicates whether a URL is ✅ SAFE or ⚠️ SUSPICIOUS along with the exact reasons why.
• Bonus Feature - URL History: Automatically tracks and stores your recently checked URLs in the browser.
• Premium UI/UX: Dark-themed, glassmorphic design with smooth micro-animations.

🛠️ Tech Stack

• Frontend: HTML5, Vanilla CSS3 (Custom Design System), JavaScript
• Backend: Python, Flask, Flask-CORS
• Server: Gunicorn (for production deployment)

🚀 How to Run Locally

Prerequisites

Make sure you have Python 3 installed on your system.

Installation

1. Clone this repository:

   git clone https://github.com/yourusername/phishing-url-detector.git
   cd phishing-url-detector
   

2. Install the required dependencies:

   pip install -r requirements.txt
   

3. Start the Flask server:

   python app.py
   

4. Open your web browser and navigate to:

   http://127.0.0.1:5000
   

🌐 Deployment

This app is fully prepared to be deployed on cloud platforms like Render, Railway, or Vercel. A requirements.txt and a configured app.py are included. If deploying on Render, use gunicorn app:app as your Start Command.

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Developed as part of a Cyber Security Internship Project.