Phishing attack is an attempt to obtain confidential information or data, such as credit and debit card details, username, passwords, etc. by creating a fake website which is very much similar to genuine website. Because of visual similarity of website, users are not able to distinguish between a legitimate and phishing websites. Phishing attack often targets users to enter their personal information at a phishing website. Then that information is directly send to attackers. In today’s world most of the phishing attack takes place with the help of spoofed emails. The attackers first send the email to victim which looks like it’s come from genuine sender. The spoofed email contains the link to such phishing websites. When the victim clicks this link and enters the credentials and information, the information is directly passed on to the attackers. The attackers then misuse this information. Phishing attack is still among the top ten cyber-attacks. Hence, the security experts are looking for a reliable and steady detection mechanism with high accuracy. This paper aims to compare all the phishing website detection techniques.
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Ghosh et al. (2025) studied this question.
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