Emulator detection using user agent and device model learning

A method comprising

• receiving, by a computer system from a client device, a user agent string corresponding to a user agent computer application that has requested access to a resource associated with the computer system;
• embedding, by the computer system, the user agent string into a first numerical data vector representation of the user agent computer application;
• obtaining, from the client device, one or more hardware characteristics of the client device;
• providing the one or more hardware characteristics to a prediction model;
• extracting a second numerical data vector representation output from the prediction model corresponding to features of a predicted device model for the client device;
• and
• determining whether the client device is using an emulator based on the first numerical data vector representation and the second numerical data vector representation.

A non-transitory machine-readable medium having instructions stored thereon, wherein the instructions are executable to cause a machine of a system to perform operations comprising:

• receiving, from a client device, a user agent string corresponding to a user agent computer application that has requested access to a resource of the system;
• embedding the user agent string into a first numerical data vector representation of the user agent computer application;
• obtaining, from the client device, one or more hardware characteristics of the client device;
• predicting a device model for the client device based on the one or more hardware characteristics;
• embedding device model features extracted from the device model prediction into a second numerical data vector representation;
• and
• determining whether the client device is using an emulator based on the first numerical data vector representation and the second numerical data vector representation.