🌐 SafeSurf

SafeSurf is a Flask-based Chrome extension designed to detect vulnerabilities in URLs. The application uses a trained machine learning model to identify phishing sites and other anomalies in the URLs provided by users. It fetches the requests from the deployed flask app.

✨ Features

• 🔍 URL Vulnerability Detection: Enter any URL to check for potential phishing or other vulnerabilities.
• 🤖 Machine Learning Model: Trained on the Phishing Site URLs Kaggle dataset.
• 🧩 Chrome Extension: A convenient browser extension to instantly check URLs from any webpage. The extension fetches data from the Flask app, which hosts the trained model.
• 🚀 Flask App Deployed on Render: Access the live application Flask App.

📸 Screenshots

⚙️ Installation

🧩 Add Extension

• Navigate to the extension folder in the project directory.

• Go to chrome://extensions/ in your Chrome browser.

• Enable "Developer mode" and click "Load unpacked".

• Select the extension folder to install the extension.

• Pin the Extension and Try it. (Be Paitent it takes a bit to Fetch the request)

⚒️ Flask App

• Clone the repository:

  git clone https://github.com/ayoopriyanshu/safesurf-flask.git
  cd safesurf
  

• Install Requirements:

  pip install -r requirements.txt
  

• Run App.py

📊 Model

• Open the Model_Training.ipynb file in Google Colab or Jupyter.

• Upload the phising_site_urls.csv file

• Run each Shell

🧰 Technology Stack

• Machine Learning: Scikit-learn, Pandas, NumPy
• Backend: Flask, Python, Javascript
• Frontend: HTML, CSS
• Libraries: Requests, Flask, Sklearn, Sckit-learn, Flask-CORS, Pandas

📇 Contact