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Security and Communication Networks
Article . 2014 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Article . 2020
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JSOD: JavaScript obfuscation detector

Authors: Ismail Adel Al-Taharwa; Hahn-Ming Lee; Albert B. Jeng; Kuo-Ping Wu; Cheng-Seen Ho; Shyi-Ming Chen;

JSOD: JavaScript obfuscation detector

Abstract

AbstractJavaScript obfuscation is a deliberate act of making a script difficult to understand by concealing its purpose. The prevalent use of obfuscation techniques to hide malicious codes and to preserve copyrights of benign scripts resulted in (i) missing detection of malicious scripts that are obfuscated and (ii) raising false alarms due to the benign scripts that are obfuscated. Automatic detection of obfuscated JavaScript is generally undertaken by tackling the problem from the readability perspective. Recently, Microsoft research team analyzed different levels of context‐based features to distinguish obfuscated malicious scripts from obfuscated benign ones. In this work, we raise the issue of existing readable versions of obfuscated scripts. Further, we discuss the challenges posed by readably obfuscated scripts against both JavaScript malware detectors and obfuscated scripts detectors. Therefore, we propose JavaScript Obfuscation Detector (JSOD), a completely static solution to detect obfuscated scripts including readable patterns. To evaluate JSOD, we compare it to the state‐of‐the‐art approaches to detect obfuscated malicious and obfuscated benign script, namely, Zozzleand Nofus. Our experimental results demonstrate the importance to detect readably obfuscated scripts and their sophisticated variations. Furthermore, they also show the superiority of JSODapproach against all relevant solutions. Copyright © 2014 John Wiley & Sons, Ltd.

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Top 10%
Average
gold