🚀 AutoPhishingDetector - AI-Based Phishing Detection API

AutoPhishingDetector is a machine learning-based API that detects phishing messages and identifies suspicious links.

🔥 Features

• Detects phishing messages with XGBoost model.
• Analyzes messages for suspicious links.
• Provides REST API for easy integration.

🛠 Installation

1. Clone the repository:

   git clone https://github.com/MNafari/AutoPhishingDetector.git
   cd AutoPhishingDetector

2. Create a virtual environment and activate it:

   python3 -m venv venv
   source venv/bin/activate  # On macOS/Linux
   venv\Scripts\activate     # On Windows

3. Install dependencies:

   pip install -r requirements.txt

🚀 How to Run

1. Start the API server:

   python src/app.py

2. Test API with curl:

   curl -X POST http://127.0.0.1:5000/detect -H "Content-Type: application/json" -d '{"message": "Congratulations! You have won a $500 Amazon gift card. Click here to claim it now."}'

3. Expected response:

   {
     "message": "Congratulations! You have won a $500 Amazon gift card. Click here to claim it now.",
     "phishing_probability": 61.67,
     "is_phishing": true,
     "contains_suspicious_links": false,
     "extracted_links": []
   }

📦 Deploy with Docker (Optional)

1. Build Docker image:

   docker build -t phishing-detector .

2. Run the container:

   docker run -p 5000:5000 phishing-detector

📜 License

This project is licensed under the MIT License.