Abstract
The rapid increase in phishing attacks emerged as a major threat to users worldwide, with attackers utilizing different ways to mimic authentic domains and compromise user credentials. This paper recommends to develop an intelligent system that uses machine learning techniques to detect phishing domains particularly focusing on newly registered websites sourced from open and publicly available databases. By making use of the power of artificial intelligence, the proposed system assigns probability scores to identify the closeness of a domain to a genuine one. Moreover, it prioritizes the timely detection of new phishing domains improving the overall cyber security. This work deals with the significant requirement for an automated, intelligent tool to combat phishing attacks by proactively identifying malicious domains, ultimately safeguarding user credentials and cyber security measures.
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