Patent · US Active

Detection and categorization of malicious URLs

US8521667B2 · kind B2 · utility

106Cited by

1References

17Claims

0Family size

Assignee

Microsoft Corporation · US

Inventors

Bin Zhu · Windom, US
Hyunsang Choi · Seoul, KR
Heejo Lee · Seoul, KR

Key dates

Filing date	Dec 15, 2010
Grant date	Aug 27, 2013
Priority date	—
Expiry date	Aug 20, 2031

Classification

Technology area (CPC H)Electricity
CPC primaryH04L63/1408
WIPO fieldDigital communication
WIPO sectorElectrical engineering

Abstract

This document describes techniques for using features extracted from a URL to detect a malicious URL and categorize the malicious URL as one of a phishing URL, a spamming URL, a malware URL or a multi-type attack URL. The techniques employ one or more machine learning algorithms to train classification models using a set of training data which includes a known set of benign URLs and a known set of malicious URLs. The classification models are then employed to detect and/or categorize a malicious URL.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.