Chinese Journal of Network and Information Security ›› 2017, Vol. 3 ›› Issue (2): 31-38.doi: 10.11959/j.issn.2096-109x.2017.00122

• Academic paper • Previous Articles     Next Articles

Financial phishing detection method based on sensitive characteristics of webpage

Xiang-dong HU1(),Ke LIU1,Feng ZHANG2,Jia-fu LIN1,Jun FU2,Zhi-hui GUO2   

  1. 1 School of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
    2 Research Institute of China Mobile, Beijing 100033, China
  • Revised:2016-12-24 Online:2017-02-01 Published:2017-02-10
  • Supported by:
    The Joint Research Foundation of the Ministry of Education of the People's Republic of China and China Mo-bile(MCM20150202);The Science and Technology Project Affiliated to Chongqing Education Commission(KJ1602201)


A financial phishing detection method based on sensitive characteristics of webpage was proposed, which acquired sensitive text information of specific hypertext markup language tags and computes sensitive text eigen-value. The method matches number of sensitive text using multiple pattern matching algorithm AC_SC (AC suitable for Chinese). Then, the method locates and cuts logo image of webpage, and utilizes PCA-SIFT algorithm to extract image features and match features with library of webpage logo which was established beforehand. Meanwhile, it calculates similarity of two logo image. Finally, the decision can be concluded by the text eigenvalue and image similarity. It shows that the method is better in pertinence and timeliness according to experiment, and achieves no less than 97% detection accuracy.

Key words: financial webpage, sensitive characteristic, text eigenvalue, image similarity, phishing detection

CLC Number: 

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