There are a vast number of domains that leads the user to phishing websites for tricking the user to steal their sensitive information or inject malware into the system. In this paper, we will discuss about the support vector machine algorithm and how we have used the weights associated with each attribute of the trained SVM model in a chrome extension. This tool will identify the nature of the URL and avert the users from becoming a victim of phishing attack by notifying the user about the malicious URL on each page load via an alert box as safe or unsafe URL.