Presentation 2017-07-27
Obfuscated Malicious JavaScript Detection Scheme Using the Feature Based on Divided URL
Shoya Morishige, Shuichiro Haruta, Hiromu Asahina, Iwao Sasase,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Recently, obfuscated malicious JavaScript codes which divide URL into segments to evade the pattern matching of anti-virus softwares are used in Drive-by-Download attacks. In this paper, we focus on the fact that the segments of URL are declared as variables and connected later. Our scheme stores variables and their contents in the dictionary type object and in the connection parts, verifies that malicious URL can be reconstructed. By the computer simulation with real dataset, we show that our scheme improves the detection effectiveness of the conventional scheme.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Drive-by-Download attacks / Obfuscation techniques / JavaScript detection
Paper # CS2017-15
Date of Issue 2017-07-20 (CS)

Conference Information
Committee CS
Conference Date 2017/7/27(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Fukue Bunka Kaikan
Topics (in Japanese) (See Japanese page)
Topics (in English) Next generation networks, access network, broadband access system, power-line communications, wireless communication systems, coding system, etc.
Chair Tetsuya Yokotani(Kanazawa Inst. of Tech.)
Vice Chair Hidenori Nakazato(Waseda Univ.)
Secretary Hidenori Nakazato(Kyushu Univ.)
Assistant Kenji Kanai(Waseda Univ.) / Kazutaka Hara(NTT)

Paper Information
Registration To Technical Committee on Communication Systems
Language ENG-JTITLE
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Obfuscated Malicious JavaScript Detection Scheme Using the Feature Based on Divided URL
Sub Title (in English)
Keyword(1) Drive-by-Download attacks
Keyword(2) Obfuscation techniques
Keyword(3) JavaScript detection
1st Author's Name Shoya Morishige
1st Author's Affiliation Keio University(Keio Univ.)
2nd Author's Name Shuichiro Haruta
2nd Author's Affiliation Keio University(Keio Univ.)
3rd Author's Name Hiromu Asahina
3rd Author's Affiliation Keio University(Keio Univ.)
4th Author's Name Iwao Sasase
4th Author's Affiliation Keio University(Keio Univ.)
Date 2017-07-27
Paper # CS2017-15
Volume (vol) vol.117
Number (no) CS-156
Page pp.pp.13-18(CS),
#Pages 6
Date of Issue 2017-07-20 (CS)