Výsledky vyhledávání - "JavaScript obfuscation"

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

    ISSN: 2158-3927
    Vydáno: 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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  2. 2

    Optimizing Away JavaScript Obfuscation Autor Herrera, Adrian

    ISSN: 2470-6892
    Vydáno: 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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    Challenges to JavaScript obfuscation in the era of large language models Autor Ciochiu, Daniel, Brezovan, Marius, Enescu, Nicolae, Traistaru, Claudiu, Badoi, Mircea, Barcan, Alexandra

    ISSN: 2473-5698
    Vydáno: 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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  4. 4

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

    ISSN: 2263-8733, 2263-8733
    Vydáno: 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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    Optimizing Away JavaScript Obfuscation Autor Herrera, Adrian

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 19.09.2020
    Vydáno v 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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  6. 6

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

    ISSN: 2158-3927
    Vydáno: 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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    Efficient Malicious Javascript Detection Using Character-Level Cnn with Prevalent Content Filtering Autor Chan, Alvin Chin Khai, Ismail, Ismahani, Marsono, Muhammad Nadzir, Rahman, Ab Al-Hadi Ab, Sadiah, Shahidatul, Rusli, Mohd Shahrizal

    Vydáno: 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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    RedJsod: A Readable JavaScript Obfuscation Detector Using Semantic-based Analysis Autor 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
    Vydáno: 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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    Leveraging Machine Learning for the Identification of Obfuscated JavaScript in Phishing Attacks Autor Chukwuemeka, Prince, Kyrian, Onwuegbuchunam, Imoni, Okes

    ISSN: 2581-8260, 2581-8260
    Vydáno: 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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    Detection of Obfuscated Malicious JavaScript Code Autor Alazab, Ammar, Khraisat, Ansam, Alazab, Moutaz, Singh, Sarabjot

    ISSN: 1999-5903, 1999-5903
    Vydáno: Basel MDPI AG 01.08.2022
    Vydáno v 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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    PyRHOH: A meta-learning analysis framework for determining the impact of compilation on malicious JavaScript identification Autor Fulkerson, Eli, Yocam, Eric, Vaidyan, Varghese, Kamepalli, Mahesh, Wang, Yong, Comert, Gurcan

    ISSN: 2666-8270, 2666-8270
    Vydáno: Elsevier Ltd 01.09.2025
    Vydáno v 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
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    Leveraging WebAssembly for Numerical JavaScript Code Virtualization Autor 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
    Vydáno: Piscataway IEEE 2019
    Vydáno v 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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    The power of obfuscation techniques in malicious JavaScript code: A measurement study Autor Wei Xu, Fangfang Zhang, Sencun Zhu

    ISBN: 9781467348805, 1467348805
    Vydáno: 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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  18. 18

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

    Vydáno: 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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  19. 19

    Email Armour: A Multi-Layered Email Defense Solution Autor 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
    Vydáno: 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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    A Comparison of Online JavaScript Obfuscators Autor Rauti, Sampsa, Leppanen, Ville

    Vydáno: IEEE 01.07.2018
    “… We also suggest several methods for strengthening JavaScript obfuscation…”
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