Gen Digital Inc.

Savino Dambra

Leylya Yumer

Platon Kotzias

Methods and systems for protecting mobile devices from malicious application encounters are disclosed. In one embodiment, a method may include obtaining application data and feature data from a plurality of mobile devices and identifying one or more malicious applications installed thereon. Based on the application data, a user profile for each mobile device may be determined and each mobile device may be assigned to a cluster based on the user profile identified. A security model based on the featured data may be created for a selected cluster and the security model may be applied to a selected mobile device within the selected cluster. Finally, a security action may be performed on the selected mobile device based on an output of the security model.

Protecting against malicious application encounters on mobile devices

A computer-implemented method for identifying brands utilized in website phishing campaigns may include (i) capturing a website screenshot including visual elements representing a potential phishing vulnerability, (ii) transforming, utilizing a deep learning model, the website screenshot into an image representation including embeddings, (iii) determining whether the transformed website screenshot matches a dataset including reference transformed website screenshots representing previously identified brands utilized in phishing campaigns, (iv) clustering, upon determining a mismatch between the transformed website screenshot and the dataset, the transformed website screenshot with other transformed website screenshots sharing the visual elements representing the potential phishing vulnerability and one or more visual similarities, and (v) performing, based on the clustering, a security action that protects against potential phishing attacks by extracting brand information for adding to the dataset. Various other methods, systems, and computer-readable media are also disclosed.

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Nice, France

Savino Dambra