# Malicious URL Detector

This application detects malicious URLs, classifying them into benign, defacement, phishing, or malware categories. It leverages a machine learning model to analyze URLs and produce predictions.

## Installation

1. Clone the repository:

   git clone https://github.com/maskedwolf4/Malicious-URL.git

2. Create a virtual environment (recommended):

   python -venv venv
   source venv/bin/activate  # (Linux/macOS)
   venv\Scripts\activate.bat  # (Windows)

3. Install dependencies:

   pip install -r requirements.txt

## Usage

Enter or provide a list of URLs to analyze.

The application will process the URLs and output their predicted categories (benign, defacement, phishing, or malware).

## Model Details

• Model type: XGBoost
• Performance metrics: Accuracy = 0.962

## Disclaimer

• Limitations: Acknowledge that the model may not be perfect and might produce false positives or negatives.
• Security reminder: Emphasize that users should not click on suspicious URLs even if the model predicts them as benign.
• Responsible usage: Encourage users to report any detected malicious URLs to appropriate authorities.

## Contribute

• Feel free to contribute to this project by submitting issues or pull requests.

## License

• This project is licensed under Apache-2.0 license