… Attackers may also get remote access to victim’s computer and … steal victim’s information by
phishing. Classification of various … not cover all phishing websites because a newly launched …

… out to targeted victims by the URL of that fake website [9]. … , VGG19 and InceptionV3 do not
perform well when combined … does not perform well in classifying phishing sites compared …

… Our scheme uses not only image similarity but also CSS similarity. 2) To our knowledge, our
… To identify this, we store both legitimate and phishing websites’ information of screenshot …

… to get access to a victim's personal information, such as bank … A visual similarity-based
method to combat phishing attempts … has no way of knowing whether they are on a phishing site …

… a light-weight visual similarity based blacklist approach as a … legitimate site information
when the phishing site is detected … in higher delay in detection process making it not suitable at …

… development of visual similarity-based detection methods. … webpage screenshots, and not
affected by embedded objects … click the phishing URL and input personal information. The key …

… Our proposed approach is not only able to detect phishing … Moreover, visual similarity based
approaches can identify … webpage with the set of targeted victim webpages. Formally, a CSS …

… However, the chance that the users be victims of such traps … visual similarity based approach
for the website phishing … Although the existing visual similarity based solutions are not …

… sensitive information from the victim through third-party fraud. … the visual similarity based
approach on phishing detection, … -based anti-phishing approach was not yet considered. The …

… and deceive the victims. To better identify and distinguish … but does not make full use of all
related information. Meanwhile, … by calculating webpage similarity based on Empirical Mode …