International Research Journal of Education and Technology

Now-a-days we get the message which contains “content” and “link.”With the rapid growth of internet users, people are using them for illegal and unethical conducts, phishing, and fraud.This project will identify those spam messages and the phishing URLs on the messages by using techniques of machine learning. Apply the algorithm on our datasets and best algorithm is selected for the spam detection having the best precision and accuracy.

Keywords: Machine learning, spam message, spam mail, spam content, phishing attack, phishing url, web phishing, legitimate url, ham message, url detection, K-Nearest neighbours’ classifier, logistic regression.