Systems and methods of detecting anomalous websites
US11716350B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 23, 2020 |
| Grant date | Aug 1, 2023 |
| Priority date | — |
| Expiry date | Apr 8, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20081
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for detecting anomalous and malicious URL's by analyzing markup language structure, such as HTML, are provided. The systems and methods include the querying of a URL to obtain the markup language data. The markup language data their corresponding elements and their locations rows/depths are parsed into coordinates within a 2-dimensional grid and then processed into features. A color is assigned to each feature as a function of the type of feature. The three dimensions (x, y coordinates and color coordinate) of the features are used to generate an image. The generated images are then compressed to facilitate processing. The compressed images of common websites are analyzed using deep machine learning algorithms to generate a model that represents their structure. These generated models are then used to detect suspicious and/or anomalous websites.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.