Not So Phishy is a project designed to combat the prevalent threat of phishing attacks, which are among the most common cyber-attacks today. Unlike traditional hacking methods that target system vulnerabilities, phishing relies on exploiting human errors through social engineering.
Our solution empowers users with tools that leverage machine learning to recognize intricate patterns that may go unnoticed by humans. Our machine learning model, trained on a dataset of over 10,000 samples, assesses URLs before users click on them, providing real-time predictions about their trustworthiness. Our website also offers features such as a list of potential phishing sites identified by our model and a search bar for users to assess suspicious URLs instantly.
Before running the Not So Phishy project, ensure you have the following dependencies installed, which can be found in the requirements.txt file:
- Flask
- python-whois
- python-googlesearch
- scikit-learn==1.2.2
To install these dependencies, use the following command:
pip install -r requirements.txtFollow these steps to run the Not So Phishy project:
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Clone the repository:
git clone https://github.com/akshubawa/NotSoPhishy.git
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Navigate to the project directory:
cd not-so-phishy -
Create a virtual environment (optional but recommended):
python -m venv venv
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Activate the virtual environment:
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On Windows:
venv\Scripts\activate
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On macOS and Linux:
source venv/bin/activate
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Install the project's dependencies:
pip install -r requirements.txt
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Start the Flask application:
python src/app.py
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Access the Not So Phishy web interface in your web browser by navigating to
http://localhost:5000.
Now, you can use the provided features to assess URLs for potential phishing threats and access information about reported phishing attacks worldwide.
Stay vigilant against phishing attacks with Not So Phishy! If you have any questions or need assistance, please don't hesitate to reach out.
