Abstract: A system and a method are disclosed for detecting a malicious website. In an embodiment, a computing device detects a uniform resource locator (URL) referencing an unknown website; pre-processes the URL to determine a first probability that the unknown website is malicious; and inputs the first probability into a machine learning model to receive a second probability that the unknown website is malicious. The machine learning model is trained using Secure Sockets Layer (SSL) certificates of known legitimate websites and known malicious websites. The computing device further determines whether the second probability is associated with at least a threshold risk. Responsive to the second probability being associated with at least the threshold risk, the computing device causes a graphical user interface of a client device to display a notification indicating a level of risk associated with the unknown website.

Abstract: A system and a method are disclosed for detecting a malicious website. In an embodiment, a mobile device detects a URL referencing an unknown website. Responsive to detecting the URL, the mobile device retrieves a representative image of the unknown website. The mobile device determines whether the representative image matches an image of a known legitimate website. Responsive to determining that the representative image matches the image of the known legitimate website, the mobile device determines if the unknown website is malicious. The mobile device performs a security action responsive to determining that the website is malicious.

Abstract: A system and a method are disclosed for detecting a malicious website. In an embodiment, a mobile device detects a URL referencing an unknown website. Responsive to detecting the URL, the mobile device retrieves a representative image of the unknown website. The mobile device determines whether the representative image matches an image of a known legitimate website. Responsive to determining that the representative image matches the image of the known legitimate website, the mobile device determines if the unknown website is malicious. The mobile device performs a security action responsive to determining that the website is malicious.