SafeBrowse Chrome Extension

SafeBrowse is a Chrome extension designed to protect users from phishing websites by analyzing URLs in real-time using a machine learning model.

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Features

• Phishing Detection: Automatically checks if a site is phishing or safe.
• Whitelist: Allows users to whitelist trusted websites.
• Logs: Keeps track of all blocked websites for future reference.

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Tech Stack

• Frontend: Chrome Extension (JavaScript, HTML, CSS)
• Backend: Python Flask
• Machine Learning: Pre-trained RandomForestClassifier model (model.pkl)
• Deployment: Can be deployed locally or hosted on a server (e.g., Vercel, AWS, etc.).

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Installation and Setup

Prerequisites

1. Python 3.7 or higher installed.
2. Flask and Flask-CORS Python libraries installed.
3. Chrome browser installed.

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Backend Setup

0. Pickle file: Generate a model.pkl file and paste it in the folder

1. Clone the repository:

   git clone https://github.com/coderashhar/Safe-Browse.git
   cd SafeBrowse
   

2. Install dependencies:

   pip install flask flask-cors numpy
   

3. Run the backend server:

   python model_server.py
   

Frontend (Chrome Extension) Setup

1. Load the Chrome extension: • Open Chrome and go to chrome://extensions/. • Enable Developer Mode in the top-right corner. • Click Load Unpacked and select the extension folder in the repository.
2. Enable the SafeBrowse extension: • Once loaded, the extension will appear in the Chrome toolbar.