• Sairaj Jadhav
• Sarthak Pawar
• Shoeb Shah
• Safin Tamboli
• Amol Rindhe

Since mobile devices have become so common, there is a trend toward moving practically all offline activity online. Due to the anonymity of the Internet, this breaks several security laws even though it simplifies our daily lives. The simplest method for obtaining sensitive information from unwitting users is through phishing attacks. Phishers seek to get private data, including usernames, passwords, and bank account details. Cybersecurity experts are searching for consistent and dependable methods of detecting phishing websites. In this research, numerous properties of both genuine and phishing URLs are extracted and analyzed in order to detect phishing URLs. Phishing websites can be recognized using decision trees, random forests, and support vector machine algorithms.

"Detection OF Phishing Websites using ML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.m238-m242, May-2023, Available :http://www.jetir.org/papers/JETIR2305C34.pdf

"Detection OF Phishing Websites using ML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppm238-m242, May-2023, Available at : http://www.jetir.org/papers/JETIR2305C34.pdf