Phishing Link Detection Using Machine Learning, Flask and Web Technologies

Key Points

• Evaluate the effectiveness of machine learning in detecting phishing links using web technologies.
• Utilized machine learning algorithms to analyze phishing link patterns.
• Developed a web application using Flask to implement detection tools.
• Conducted experiments to measure detection accuracy against various phishing samples.
• Achieved a significant reduction in false positives and negatives in phishing detection.
• Demonstrated improved detection rates compared to traditional methods.