The growth of internet users and the overall evolution of the internet platform have been highly innovative and useful. With the increase in number of users, there has also been an increase in the number of services that are offered by the internet platform. Due to these factors, a very popular and widely used social engineering method for Cyber-attack called phishing is being used. Phishing is the process by which the cyber-attack utilizes a fake web page to trick the unknowing user into revealing their confidential information or authentication credentials to the attacker. This type of attack is highly difficult to identify and ameliorate due to the variable nature of phishing attacks and the deception from the phishing attack coordinator. Therefore numerous researches on phishing attacks have been analyzed effectively to propose our approach which is based on the implementation of natural language processing along with fuzzy classification and decision tree. The proposed approach is effectively evaluated for its errors to achieve the performance metrics indicating a satisfactory performance of the approach.