… 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 …

… 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 …

… 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 …

… the visual appearance of legitimate websites to deceive victims. … not specifically tailored for
phishing detection, to provide a broader baseline for comparison. Detailed model information …

… phishing detection approaches, visual similaritybased … of phishing web pages often does not
provide information on the … Typically, attackers lure victims to a phishing website by sending …

… We do not focus on subtle changes in visual blocks. If … between the phishing website and
the victim website to verify the … of calculating webpage similarity based on visual features. The …

… Our method can detect phishing sites that is not registered with blocklists or do … Visual
similarity-based phishing detection without victim site information. In: 2009 IEEE Symposium on …