Malicious uniform resource locator detection
US9178901B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 26, 2013 |
| Grant date | Nov 3, 2015 |
| Priority date | — |
| Expiry date | May 28, 2033 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1483
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The techniques described herein use training data to train classification models to detect malicious Uniform Resource Locators (URLs) that target authentic resources (e.g., Web page, Web site, or other network locations accessed via a URL). The techniques train the classification models using one or more machine learning algorithms. The training data may include known benign URLs and known malicious URLs (e.g., training URLs) that are associated with a target authentic resource. The techniques then use the trained classification models to determine whether an unknown URL is a malicious URL. The malicious URL determination may be based on one or more lexical features (e.g., brand name edit distances for a domain and path of the URL) and/or site/page features (e.g., a domain age and a domain confidence level) extracted.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.