Overview
Real-time phishing detection: blocklist, domain analysis, NLP content scanning, and threat intelligence APIs.
This project is a machine learning–based phishing detection system designed to identify and prevent malicious websites in real time. The system consists of a Flask-based web application that serves as the backend, integrating a trained detection model, a database, and supporting logic for analysis. A browser extension acts as the primary user interface, continuously monitoring URLs visited by the user and sending them to the Flask backend for evaluation. The machine learning model analyzes features of each URL—such as structure, domain characteristics, and known phishing patterns—to classify it as either legitimate or suspicious. The system then returns a result to the browser extension, which alerts the user if a potential phishing threat is detected. This architecture enables lightweight client-side interaction while leveraging more powerful server-side processing for accurate detection.
Details
- Version1.1.0
- UpdatedApril 30, 2026
- Size19.54KiB
- LanguagesEnglish (United States)
- Developer
Email
madhumiramacmillen62@gmail.com - Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes
Support
For help with questions, suggestions, or problems, visit the developer's support site
