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Phishing website detection method

A detection method and technology for phishing websites, applied in electrical components, transmission systems, etc., can solve problems such as inconvenient use and low efficiency, and achieve the effects of low false positives, lightweight algorithms, and strong universality

Active Publication Date: 2013-04-03
BEIHANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage of this solution is that it is inefficient and inconvenient to use, and users cannot detect it through simple and convenient methods such as browser extensions

Method used

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Embodiment Construction

[0035] The present invention will be described in further detail below in conjunction with the accompanying drawings. Such as figure 1 As shown, a phishing website detection method of the present invention, which compares the page similarity of two webpages, needs to go through four steps: 1) Extract CSS text information from two webpages respectively. For a web page, its CSS text generally has three ways of existence, that is, an external style sheet, an internal style sheet, and an inline style sheet. 2) Extract the rule set from the obtained CSS text, and the rule set is in JSON format. 3) Extract the corresponding rules from the rule set and recombine them as matching elements. 4) Matching calculations are performed on the matching elements obtained from the two webpages respectively to obtain the similarity of the two webpages. If the similarity is greater than the threshold, it is considered that the two web pages have high similarity, otherwise they are not similar. ...

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Abstract

The invention provides a phishing website detection method comprising the following steps: 1. CSS (cascading style sheet) text extraction of respectively extracting according to various existence forms, and combining all extracted CSS character strings in a same file; 2. CSS text analysis of automatically analyzing the CSS file obtained in the step 1 by using an CSS analyzer, so as to obtain a corresponding rule object set; 3. comparison element extraction of selecting the attribution with a plurality of characteristics from the rule set and integrating again, for facilitating the fast calculation of similarity; and 4. similarity calculation of calculating the similarity according to the matching situation of the comparison element set of two web-pages. The method has the advantages that 1), the lightweight class and the arithmetic lightweight class are realized, and the method is liable expand and implement by using a browser; 2), the universality is high, because all the web-pages in normal website use a uniform style, only one optional webpage in a target website is required to be detected so as to judge the matching with a suspicious webpage, and the limit of languages of the web-pages is avoided; and 3), the misinformation rate is low.

Description

【Technical field】 [0001] The invention provides a method for detecting phishing websites, which belongs to the field of computer Internet (Web) security. 【Background technique】 [0002] Phishing websites counterfeit the domain name (URL) address and page content of real websites (usually disguised as banking and e-commerce websites), or use loopholes in real website server programs to insert dangerous Javascript codes into some webpages of the site, thereby Defrauding users of personal information such as bank or credit card account numbers, passwords, etc., causing users to suffer economic losses. At present, attacks on online shopping are becoming more and more common. Phishing websites have replaced viruses and Trojan horses as the number one security threat on the Internet. The detection and identification of phishing websites has become an important research content in the field of Web security. [0003] An important way to judge whether a website is a phishing website...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06H04L29/08
Inventor 李坤毛剑刘建伟冯克李佩
Owner BEIHANG UNIV
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