Hybrid Obfuscated Javascript Strength Analysis System for Detection of Malicious Websites - Archive ouverte HAL Access content directly
Conference Papers Year : 2012

Hybrid Obfuscated Javascript Strength Analysis System for Detection of Malicious Websites

(1) , (1) , (1)
1
R. Krishnaveni
  • Function : Author
  • PersonId : 1011226
C. Chellappan
  • Function : Author
  • PersonId : 1011227
R. Dhanalakshmi
  • Function : Author
  • PersonId : 1011228

Abstract

JavaScripts are mostly used by the malicious websites to attack the client systems. To detect and prevent this, static and dynamic analysis systems are used which has problems like longer analysis time, setting up of virtual environment and prone to real attacks. Hence a new hybrid analysis system is proposed which reduces the shortcomings of the static and dynamic analysis systems. Additional features such as keywords to words ratio, average line length, presence of suspicious URLs and tags, whitespace percentage, number of redirections, and enigmatic variable names are used to measure the strength of the obfuscation. In this system performance is improved and the number of false positives and negatives are reduced. Based on the strength of obfuscation in the JavaScript code, a website is determined to be benign or malicious.
Fichier principal
Vignette du fichier
978-3-642-35606-3_15_Chapter.pdf (183.24 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01551330 , version 1 (30-06-2017)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

R. Krishnaveni, C. Chellappan, R. Dhanalakshmi. Hybrid Obfuscated Javascript Strength Analysis System for Detection of Malicious Websites. 9th International Conference on Network and Parallel Computing (NPC), Sep 2012, Gwangju, South Korea. pp.129-137, ⟨10.1007/978-3-642-35606-3_15⟩. ⟨hal-01551330⟩
53 View
170 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More