US 2025/0168196 A1 · SYSTEM AND METHOD FOR DETECTING AND PREVENTING SOCIAL ENGINEERING ATTACKS AND ADVERTISEMENTS

Abstract

An exemplary system and method are disclosed that can mitigate online social engineering attacks at scale using a real-time detection system configured to identify social engineering advertisements and to block users' navigation to potential social engineering websites. To detect SE-ads and block the subsequent events, the exemplary system and method can monitor a user's browsing session and evaluate each navigation to determine if it may be related to an SE-ad using trained AI features related to how the navigation was initiated and employing the features in a classification evaluation. Upon detection, the exemplary system and method can output a notification to warn the user.

Claims20

Dependent claims

A system comprising;

a processor;
and
a memory having instruction stored thereon, wherein execution of the instructions causes the processor to:
execute a user interface module, a browser engine, a rendering engine, a networking module, a JavaScript engine, and a data storage module for a web browser;
in response to initiating a browsing session for a new website by a user, receive a set of property values, a set of action values, and a set of consequence values associated with the browsing session for the new website from instrumented hooks embedded in the browser engine, the rendering engine, the networking module, the JavaScript engine, and the data storage module;
determine, via a trained AI model, a score for the browsing session being associated with a website having a malicious component;
and
output the score, wherein the score is employed to prevent the user from selecting an actionable component in a rendered website.

5 more elements

A method comprising:

executing a user interface module, a browser engine, a rendering engine, a networking module, a JavaScript engine, and a data storage module for a web browser;
in response to initiating a browsing session for a new website by a user, receiving a set of property values, a set of action values, and a set of consequence values associated with the browsing session for the new website from instrumented hooks embedded in the browser engine, the rendering engine, the networking module, the JavaScript engine, and the data storage module;
determining, via a trained AI model, a score for the browsing session being associated with a website having a malicious component;
and
outputting the score, wherein the score is employed to prevent the user from selecting an actionable component in a rendered website.

2 more elements

Dependencies are inferred from the claim text.

System and method for detecting and preventing social engineering attacks and advertisements

Life of this patent

System and method for detecting and preventing social engineering attacks and advertisements

Life of this patent

Abstract

Claims20