PAIN is a powerful neural network that helps protect users from phishing attacks by analyzing emails and messages for potential phishing content. It uses advanced machine learning techniques to identify suspicious patterns and alert the user.
-
Advanced Phishing Detection: PAIN leverages state-of-the-art neural network models to accurately detect phishing attempts in emails and messages.
-
Real-time Alerts: Whenever a potential phishing email or message is detected, PAIN immediately alerts the user, providing them with the necessary information to take appropriate action.
-
User-friendly Interface: PAIN comes with a user-friendly interface that makes it easy for users to interact with the system and manage their email security settings.
-
Continuous Learning: PAIN continuously learns from new phishing patterns and updates its detection algorithms to stay ahead of emerging threats.
To get started with PAIN, follow these steps:
-
Clone the repository:
git clone https://github.com/CooDiiNgg/PAIN.git
-
Install the required dependencies:
pip install -r requirements.txt
-
Configure your email provider settings in the
config.pyfile. -
Run the PAIN application:
python pain.py
Contributions are welcome! If you have any ideas, suggestions, or bug reports, please open an issue or submit a pull request.
This project is licensed under the MIT License. See the LICENSE file for more information.
If you have any questions or need further assistance, feel free to contact us at email protected.