This project is designed to track sources that share phishing feeds. It involves researching and identifying sources that share phishing data, followed by storing this information in a database. The project is built using FastAPI and PostgreSQL and is managed with Poetry for dependency management.
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Research and identify sources sharing phishing feeds.
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Continuously monitor and track these sources for new phishing data.
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Store information about these sources in a PostgreSQL database.
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Implement this project without the need for a while loop or continuous polling.
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Poetry (https://python-poetry.org/docs/)
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Docker Compose
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FastAPI (https://fastapi.tiangolo.com/)
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SQLAlchemy ORM (https://docs.sqlalchemy.org/)
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PostgreSQL
- Clone this repository:
git clone https://github.com/your-username/phishing-feed-tracker.git. - Start the project using Docker Compose:
docker-compose up --build. - The FastAPI web application should now be running at
http://localhost:8000. - Before you start working on the project, you can use Poetry to install the required Python dependencies:
poetry install.
The project offers the following functionality:
-> Source Tracking: The system continuously monitors and tracks sources sharing phishing feeds, storing relevant information in a PostgreSQL database.
The database schema includes the following tables:
-> Sources: Stores information about the sources that share phishing data, including source name, URL, and other relevant details.
-> Phishing Feeds: Contains details about the phishing feeds shared by different sources, including feed URL, timestamp, and other metadata.
-> Events: Logs events related to source tracking, allowing you to review the history of source interactions.