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title: Phishing URL Detection
emoji: 🛡️
colorFrom: red
colorTo: yellow
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
python_version: 3.12
---
# Phishing URL Detection
A machine learning-powered phishing detection app that analyzes URLs using URLScan.io and predicts whether they are phishing or legitimate.
## Features
- **Real-time URL Analysis**: Submit any URL for instant phishing detection
- **URLScan.io Integration**: Automatically scans URLs and extracts security features
- **ML-Powered Predictions**: Uses trained models from Hopsworks Model Registry
- **Detailed Results**: Shows confidence scores and extracted security features
## How It Works
1. Enter a URL in the web interface
2. The app scans the URL using URLScan.io API
3. Extracts security features (domain age, TLS certificate, secure requests, etc.)
4. Runs inference using a trained machine learning model
5. Displays prediction with confidence score and feature analysis
## Model Information
The model analyzes these security features:
- **Domain Age**: How old the domain is (days)
- **Secure Percentage**: Percentage of HTTPS requests
- **Umbrella Rank**: Cisco Umbrella popularity ranking
- **TLS Certificate**: Certificate validity period
- **URL Length**: Length of the URL
- **Subdomain Count**: Number of subdomains
## Configuration
This app requires the following environment variables (configured as Space secrets):
- `HOPSWORKS_API_KEY`: Hopsworks API key for model loading
- `HOPSWORKS_PROJECT`: Hopsworks project name
- `URLSCAN_API_KEY`: URLScan.io API key for URL scanning
## Disclaimer
This tool is for educational and research purposes only. Predictions are not 100% accurate and should not be the sole basis for security decisions.
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