Phishing URL Detection Using Machine Learning: A Survey
Tanya Shrivastava, Saurabh Bhatt, Nihar Ranjan Roy, Akash Bhasney · 2022
Phishing is a kind of social engineering attack with the intention to lure the victim to give up their personal data such as financial information to the attackers through malicious websites which appear as a legitimate source. Attackers are coming up with new techniques hence detection of such links has become a crucial concern. Since most of the internet users are not able to differentiate between a legitimate website and a malicious one. There are several ways to identify a phishing website but they are extremely time consuming. Machine learning can be used to detect phishing web links. Thus, to mitigate phishing threats, researchers are working on improving the accuracy of phishing detection through a variety of list-based and machine learning-based methods that leverage host information, handcrafted capabilities of URLs and website contents. This work is a survey of latest trends in Phishing URL detection, with a special focus on Machine Learning based approaches.