Cybercrimes are becoming more widespread every day. Cybercrime techniques include phishing, where hackers try to steal personal data from users of websites by making websites that seem like authentic websites. Internet users are tricked into providing information about their identity, such as access credentials, credit or debit card information, and other details, through phishing attacks, which are unauthorised access. The anti-phishing field has developed a variety of strategies over the past few years. Even though, the problems still continue. An overview of several phishing attempts and information protection strategies is presented in this paper. The various strategies used by different authors over recent years will be thoroughly covered in this survey. This study looks for and highlights the top early techniques, such as supervised machine learning and deep learning, that may be utilised to build a hybrid model that can identify websites as benign or phishing with more precision and accuracy.

Phishing; Legitimate; Websites detection; Machine-learning; Deep-learning.