Lookout, Inc.

Jeremy Boyd Richards

Brian James Buck

Computer systems and methods to protect user credential against phishing with security measures applied based on determination of phishing risks of locations being visited, phishing susceptibility of users, roles of users, verification of senders of messages, and/or the timing of stages in accessing and interacting with the locations. For example, when a site is unclassified at the onset of being accessed by a user device, security measures can be selectively applied to allow the site to be initially viewed on the user device, but disallow some user interactions to reduce phishing risk. For example, a response to a domain name system (DNS) request can be customized based on a user risk level. For example, a message can be displayed without a profile picture of a contact of a user when the sender of the message appears to be the contact but cannot be verified to be the contact.

Computer systems and methods to protect user credential against phishing

Disclosed herein are techniques for detecting phishing websites. In one embodiment, a method is disclosed comprising receiving, at a server, a request for a webpage from a client device; generating, by the server, and inserting an encoded tracking value (ETV) into the webpage; inserting, by the server, dynamic tracking code (DTC) into the webpage, the inserting of the DTC further comprising obfuscating the DTC; and returning, by the server, the webpage including the ETV and DTC to the client device, the DTC configured to execute upon receipt at the client device and validate the ETV upon executing.

Detecting realtime phishing from a phished client or at a security server

Techniques for phishing protection using cloning detection are described herein. The techniques described herein can include a server which hosts a website detecting that a fetcher is a cloning toolkit or an entity known for using a cloning toolkit. The techniques can also include a server which hosts a downloadable application (such as a mobile application) detecting that a fetcher for the application is a cloning toolkit or an entity known for using a cloning toolkit. The detection can be done in several ways, such as by analyzing data logs for patterns associated with cloning toolkits or entities known for using cloning toolkits. The techniques described herein can also include a part of an end user device (such as a part of a mobile device) detecting a clone (such as a clone website or application) that was cloned by a cloning toolkit. Then, upon detection, security actions can be taken.

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Oakville, Canada

Jeremy Boyd Richards