Search Results - JavaScript Obfuscation*

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  1. 1

    Statically Detecting JavaScript Obfuscation and Minification Techniques in the Wild by Moog, Marvin, Demmel, Markus, Backes, Michael, Fass, Aurore

    ISSN: 2158-3927
    Published: IEEE 01.06.2021
    “…JavaScript is both a popular client-side programming language and an attack vector…”
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    Conference Proceeding
  2. 2

    JSRevealer: A Robust Malicious JavaScript Detector against Obfuscation by Ren, Kunlun, Qiang, Weizhong, Wu, Yueming, Zhou, Yi, Zou, Deqing, Jin, Hai

    ISSN: 2158-3927
    Published: IEEE 01.06.2023
    “… because of their high effectiveness and efficiency. However, obfuscation techniques are commonly used in JavaScript, which makes the features extracted by static analysis contain many useless and disguised features, leading to many false positives…”
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    Conference Proceeding
  3. 3

    On improvements of robustness of obfuscated JavaScript code detection by Ponomarenko, G. S., Klyucharev, P. G.

    ISSN: 2263-8733, 2263-8733
    Published: Paris Springer Paris 01.09.2023
    “…This paper is dedicated to the problem of design of the detector for obfuscated JavaScript code using machine learning technologies…”
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    Journal Article
  4. 4

    Optimizing Away JavaScript Obfuscation by Herrera, Adrian

    ISSN: 2470-6892
    Published: IEEE 01.09.2020
    “… Authors of this malicious JavaScript often employ numerous obfuscation techniques in order to prevent the automatic detection by antivirus and hinder manual analysis by professional malware analysts…”
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    Conference Proceeding
  5. 5

    Challenges to JavaScript obfuscation in the era of large language models by Ciochiu, Daniel, Brezovan, Marius, Enescu, Nicolae, Traistaru, Claudiu, Badoi, Mircea, Barcan, Alexandra

    ISSN: 2473-5698
    Published: IEEE 09.10.2025
    “… The results reveal a critical insight-contemporary JavaScript obfuscation techniques are increasingly vulnerable to the capabilities of modern LLMs, highlighting the urgent need for more robust client-side code protection strategies…”
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    Conference Proceeding
  6. 6

    Technique of Javascript Code Obfuscation Based on Control Flow Tansformations by Wang, Zhi Yue, Wu, Wei Min

    ISBN: 3038350192, 9783038350194
    ISSN: 1660-9336, 1662-7482, 1662-7482
    Published: Zurich Trans Tech Publications Ltd 01.02.2014
    Published in Applied Mechanics and Materials (01.02.2014)
    “… . Therefore, this paper proposes a technique of javascript code obfuscation based on control flow tansformations…”
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    Journal Article
  7. 7

    PyRHOH: A meta-learning analysis framework for determining the impact of compilation on malicious JavaScript identification by Fulkerson, Eli, Yocam, Eric, Vaidyan, Varghese, Kamepalli, Mahesh, Wang, Yong, Comert, Gurcan

    ISSN: 2666-8270, 2666-8270
    Published: Elsevier Ltd 01.09.2025
    Published in Machine learning with applications (01.09.2025)
    “…Automated identification of malicious JavaScript is a core problem within modern malware analysis…”
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    Journal Article
  8. 8

    TransAST: A Machine Translation-Based Approach for Obfuscated Malicious JavaScript Detection by Qin, Yan, Wang, Weiping, Chen, Zixian, Song, Hong, Zhang, Shigeng

    ISSN: 2158-3927
    Published: IEEE 01.01.2023
    “…s. Although researchers are constantly proposing methods to detect malicious JavaScript, the emergence of obfuscation technology makes it difficult for previous approaches to detect disguised malicious…”
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    Conference Proceeding
  9. 9

    Leveraging WebAssembly for Numerical JavaScript Code Virtualization by Wang, Shuai, Ye, Guixin, Li, Meng, Yuan, Lu, Tang, Zhanyong, Wang, Huanting, Wang, Wei, Wang, Fuwei, Ren, Jie, Fang, Dingyi, Wang, Zheng

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2019
    Published in IEEE access (2019)
    “… This paper presents JSPro, a novel code virtualization system for JavaScript. JSPro is the first JavaScript code obfuscation tool that builds upon the emerging WebAssembly language standard…”
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    Journal Article
  10. 10

    De-obfuscation and Detection of Malicious PDF Files with High Accuracy by Xun Lu, Jianwei Zhuge, Ruoyu Wang, Yinzhi Cao, Yan Chen

    ISBN: 9781467359337, 1467359335
    ISSN: 1530-1605, 1530-1605
    Published: IEEE 01.01.2013
    “… Therefore, in this paper, we present MPScan, a scanner that combines dynamic Java Script de-obfuscation and static malware detection…”
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    Conference Proceeding
  11. 11

    Wobfuscator: Obfuscating JavaScript Malware via Opportunistic Translation to WebAssembly by Romano, Alan, Lehmann, Daniel, Pradel, Michael, Wang, Weihang

    ISSN: 2375-1207
    Published: IEEE 01.05.2022
    “…To protect web users from malicious JavaScript code, various malware detectors have been proposed, which analyze and classify code as malicious or benign…”
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    Conference Proceeding
  12. 12

    Deobfuscation, unpacking, and decoding of obfuscated malicious JavaScript for machine learning models detection performance improvement by Ndichu, Samuel, Kim, Sangwook, Ozawa, Seiichi

    ISSN: 2468-2322, 2468-6557, 2468-2322
    Published: Beijing The Institution of Engineering and Technology 01.09.2020
    “…Obfuscation is rampant in both benign and malicious JavaScript (JS) codes. It generates an obscure and undetectable code that hinders comprehension and analysis…”
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    Journal Article
  13. 13
  14. 14

    Optimizing Away JavaScript Obfuscation by Herrera, Adrian

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 19.09.2020
    Published in arXiv.org (19.09.2020)
    “… Authors of this malicious JavaScript often employ numerous obfuscation techniques in order to prevent the automatic detection by antivirus and hinder manual analysis by professional malware analysts…”
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    Paper
  15. 15

    Efficient Malicious Javascript Detection Using Character-Level Cnn with Prevalent Content Filtering by Chan, Alvin Chin Khai, Ismail, Ismahani, Marsono, Muhammad Nadzir, Rahman, Ab Al-Hadi Ab, Sadiah, Shahidatul, Rusli, Mohd Shahrizal

    Published: IEEE 21.08.2025
    “…The growing complexity of JavaScript has significantly enriched the interactive capabilities of client-side applications…”
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    Conference Proceeding
  16. 16
  17. 17

    The power of obfuscation techniques in malicious JavaScript code: A measurement study by Wei Xu, Fangfang Zhang, Sencun Zhu

    ISBN: 9781467348805, 1467348805
    Published: IEEE 01.10.2012
    “… Since most of the Internet users rely on anti-virus software to protect themselves from malicious JavaScript code, attackers exploit JavaScript obfuscation techniques to evade the detection of anti-virus software…”
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    Conference Proceeding
  18. 18

    Malicious JavaScript Code Detection Based on Hybrid Analysis by He, Xincheng, Xu, Lei, Cha, Chunliu

    ISSN: 2640-0715
    Published: IEEE 01.12.2018
    “… However, since the heavy use of obfuscation techniques, many methods no longer apply to malicious JavaScript code detection, and it has been a huge challenge to de-obfuscate obfuscated malicious Java…”
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    Conference Proceeding
  19. 19

    Fakeium: A dynamic execution environment for JavaScript program analysis by Moreno, José Miguel, Vallina-Rodriguez, Narseo, Tapiador, Juan

    ISSN: 2352-7110, 2352-7110
    Published: Elsevier B.V 01.09.2025
    Published in SoftwareX (01.09.2025)
    “…The JavaScript programming language, which began as a simple scripting language for the Web, has become ubiquitous, spanning desktop, mobile, and server applications…”
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    Journal Article
  20. 20

    Looking for Criminal Intents in JavaScript Obfuscated Code by Cerutti, Federico, di San Pietro, Daniele Barattieri, Gringoli, Francesco, Lamperti, Gianfranco

    ISSN: 1877-0509, 1877-0509
    Published: Elsevier B.V 2022
    Published in Procedia computer science (2022)
    “…The majority of websites incorporate JavaScript for client-side execution in a supposedly protected environment…”
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    Journal Article