• Anudit Tribhuwan
• Abhijit Taware
• Hrushikesh Silam
• Shubham Manale

Phishing is a network type attack where the attacker creates the fake of an existing webpage to fool an online user into elicits personal Information. The prime objective of this review is to do literature survey on social engineering attack: Phishing attack and techniques to detect attack. NLP offers a natural solution for this problem as it is capable of analyzing the textual content to perform intelligent recognition and performing semantic analysis of text to detect malicious intent. In this type of cyber-attack, the attacker sends malicious links or attachments through phishing e-mails that can perform various functions, including capturing the login credentials or account information of the victim. This paper aims to provide a comprehensive and comparative study of various existing free service systems and research-based systems used for phishing website detection. The systems in this survey range from different detection techniques and tools used by many researchers.

Mobile phones; phishing attack; security; anti-phishing

"A Survey on Fishy URL Detection Using URL Features and CNN ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.b190-b193, May-2021, Available :http://www.jetir.org/papers/JETIR2105152.pdf

"A Survey on Fishy URL Detection Using URL Features and CNN ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppb190-b193, May-2021, Available at : http://www.jetir.org/papers/JETIR2105152.pdf