Phishing Detection Website

Overview

This project presents a lightweight, demo-centric phishing detection website designed to showcase the capabilities of a machine learning model in identifying phishing URLs. Users can input URLs to evaluate, and the system will provide predictive results along with the features influencing those predictions.

Features

• URL Submission: Users can enter any URL they wish to check for phishing risks.
• Progress Indicator: A walking man animation appears to indicate that the process is running.
• Results Display: After the analysis, the prediction results and the key features influencing the decision are displayed on the website.

Screenshots

Home Page

Predicting State

Results Page

Legitimate Site

Phishing Site

Technologies

• Frontend: HTML, CSS, JavaScript
• Backend: Python, Flask
• Machine Learning Model: Python, Scikit-Learn, XGBoost

Installation

To get this project running on your local machine, follow these steps:

1. Clone the repository: git clone https://github.com/yourusername/phishing-detection-website.git

2. Navigate to the project directory: cd phishingflask

3. Install the necessary dependencies: pip install -r requirements.txt

4. Run the application: flask run

5. Open your web browser and visit http://127.0.0.1:5000/ to use the application.

Usage

To use the website:

1. Enter the URL you want to analyze in the input field on the index page.
2. Click the Predict button to submit the URL for analysis.
3. View the results and the explanation of the prediction on the results page once the analysis is complete.