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. While malware developers transform their JavaScript code to hide its…”
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    Conference Proceeding
  2. 2

    Optimizing Away JavaScript Obfuscation by Herrera, Adrian

    ISSN: 2470-6892
    Published: IEEE 01.09.2020
    “…JavaScript is a popular attack vector for releasing malicious payloads on unsuspecting Internet users. Authors of this malicious JavaScript often employ…”
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    Conference Proceeding
  3. 3

    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
  4. 4

    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. The main challenge was to…”
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    Journal Article
  5. 5

    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)
    “…JavaScript is a popular attack vector for releasing malicious payloads on unsuspecting Internet users. Authors of this malicious JavaScript often employ…”
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    Paper
  6. 6

    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
    “…Due to the convenience and popularity of Web applications, they have become a prime target for attackers. As the main programming language for Web…”
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    Conference Proceeding
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    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. However, it also leads to increased…”
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    Conference Proceeding
  10. 10
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    RedJsod: A Readable JavaScript Obfuscation Detector Using Semantic-based Analysis by Al-Taharwa, I. A., Hahn-Ming Lee, Jeng, A. B., Kuo-Ping Wu, Ching-Hao Mao, Te-En Wei, Shyi-Ming Chen

    ISBN: 9781467321723, 1467321729
    ISSN: 2324-898X
    Published: IEEE 01.06.2012
    “… detection of maliciousness and prevent the static analysis of suspicious scripts. Next, we propose a readable JavaScript obfuscation…”
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    Conference Proceeding
  12. 12
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    Leveraging Machine Learning for the Identification of Obfuscated JavaScript in Phishing Attacks by Chukwuemeka, Prince, Kyrian, Onwuegbuchunam, Imoni, Okes

    ISSN: 2581-8260, 2581-8260
    Published: 09.06.2025
    “…JavaScript obfuscation has emerged as a pervasive tactic employed by cybercriminals to conceal malicious code and facilitate phishing attacks…”
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    Journal Article
  14. 14

    Detection of Obfuscated Malicious JavaScript Code by Alazab, Ammar, Khraisat, Ansam, Alazab, Moutaz, Singh, Sarabjot

    ISSN: 1999-5903, 1999-5903
    Published: Basel MDPI AG 01.08.2022
    Published in Future internet (01.08.2022)
    “…Websites on the Internet are becoming increasingly vulnerable to malicious JavaScript code because of its strong impact and dramatic effect. Numerous recent…”
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    Journal Article
  15. 15

    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. Code obfuscation is a common tactic used to evade detection…”
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    Journal Article
  16. 16

    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)
    “…Code obfuscation built upon code virtualization technology is one of the viable means for protecting sensitive algorithms and data against code reverse…”
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    Journal Article
  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

    A BERT-Based Approach for Detecting Cross-Site Scripting Attacks by Guo, Juan, Du, Junxi, Zheng, Fengheng, Luo, Quan

    Published: IEEE 23.05.2025
    “… Extensive experiments on benchmark datasets-including payloads involving JavaScript obfuscation and URL encoding-demonstrate that the proposed method consistently outperforms traditional CNN-based…”
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    Conference Proceeding
  19. 19

    Email Armour: A Multi-Layered Email Defense Solution by Lakmal, K.T.A.U, Perera, L.M.C, Padmika, S.P.K, De Silva, S.P.A, Pandithage, Dinithi, Siriwardana, Deemantha

    ISSN: 2831-3399
    Published: IEEE 05.12.2024
    “…) attachment security analysis to detect malware and harmful scripts, and (4) suspicious URL detection focusing on JavaScript obfuscation…”
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    Conference Proceeding
  20. 20

    A Comparison of Online JavaScript Obfuscators by Rauti, Sampsa, Leppanen, Ville

    Published: IEEE 01.07.2018
    “… We also suggest several methods for strengthening JavaScript obfuscation…”
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    Conference Proceeding