• Sahana L
• Keerthana K R
• Prathibha N
• Vinuta Gopal Naik
• Mr.Naveen T H

Phishing attack is a simplest strategy for getting sensitive information from irreproachable clients. Place of the phishers is to get essential information like username, secret key and monetary equilibrium nuances. Computerized insurance individuals are as of now looking for dependable and reliable area strategies for phishing destinations ID. This paper administers AI progression for affirmation of phishing URLs by segregating and reviewing different elements of guaranteed and phishing URLs. Choice Tree, irregular woods and Support vector machine calculations are utilized to see phishing objections. Sign of the paper is to recognize phishing URLs as well as restricted down to best AI assessment by separating accuracy rate, fake positive and misdirecting negative speed of every single calculation.

"PHISHING WEBSITE DETECTION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.g152-g156, July-2022, Available :http://www.jetir.org/papers/JETIR2207621.pdf

"PHISHING WEBSITE DETECTION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppg152-g156, July-2022, Available at : http://www.jetir.org/papers/JETIR2207621.pdf