Everyone is addicted to the internet these days. All of us have made reservations, recharged, shopped, and banked online. Phishing is a type of online threat to websites. Phishing, according to the original website, is an illegal attempt to collect information such as a credit card number, login ID, and password. We presented a successful machine learning-based phishing detection technique in this research. Overall, the experimental findings demonstrated that the suggested method performs best when used in combination with support vector machine classifiers, detecting 95.66% of phishing attempts and matching websites with just 22.5% of novel functionality. When compared to many popular phishing datasets from UCI's repository, the suggested method yields encouraging results. For machine learning-based phishing detection, the suggested method is, therefore, the one that is favoured and utilized.