Search Results - "Obfuscated JavaScript"

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  1. 1

    MOJI: Character-level convolutional neural networks for Malicious Obfuscated JavaScript Inspection by Ishida, Minato, Kaneko, Naoshi, Sumi, Kazuhiko

    ISSN: 1568-4946, 1872-9681
    Published: Elsevier B.V 01.04.2023
    Published in Applied soft computing (01.04.2023)
    “… This paper presents Malicious Obfuscated JavaScript Inspector (MOJI), a novel method for malicious JavaScript detection, which requires no code abstraction or prior feature extraction…”
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    Journal Article
  2. 2

    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
  3. 3

    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. As a language…”
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    Journal Article
  4. 4

    Detection of Obfuscated Javascript Code Based on Abstract Syntax Trees Coloring by Ponomarenko, G. S., Klyucharev, P. G.

    ISSN: 2412-5911, 2412-5911
    Published: 09.06.2020
    Published in Matematika i matematicheskoe modelirovanie (09.06.2020)
    “…The paper deals with a problem of the obfuscated JavaScript code detection and classification based on Abstract Syntax Trees (AST) coloring…”
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    Journal Article
  5. 5

    Automatic Identification of Obfuscated Javascript Using Machine Learning by de Sousa Lima, Susana Maria

    ISBN: 9798381211665
    Published: ProQuest Dissertations & Theses 01.01.2021
    “… of obfuscation.In this work, we propose a solution to detect obfuscated JavaScript and identify the obfuscator used in the code, based on machine learning algorithms and static code analysis…”
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    Dissertation
  6. 6

    Obfuscated JavaScript Code Detection using Machine Learning with AST-based Syntactic and Lexical Analysis by Kilic, Eren, Sandikkaya, Mehmet Tahir

    Published: University of Split, FESB 20.06.2023
    “…Obfuscation has become a popular technique used by attackers to hide malicious code in JavaScript applications. The detection of obfuscated code in JavaScript…”
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    Conference Proceeding
  7. 7

    Social Engineering Attacks Using Technical Job Interviews: Real-Life Case Analysis and AI-Assisted Mitigation Proposals by Sanguino, Tomás de J. Mateo

    ISSN: 2078-2489, 2078-2489
    Published: Basel MDPI AG 01.01.2026
    Published in Information (Basel) (01.01.2026)
    “…Technical job interviews have become a vulnerable environment for social engineering attacks, particularly when they involve direct interaction with malicious…”
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    Journal Article
  8. 8

    Detecting Malicious Campaigns in Obfuscated JavaScript with Scalable Behavioral Analysis by Starov, Oleksii, Zhou, Yuchen, Wang, Jun

    Published: IEEE 01.05.2019
    “…Modern security crawlers and firewall solutions have to analyze millions of websites on a daily basis, and significantly more JavaScript samples. At the same…”
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    Conference Proceeding
  9. 9

    JSObfusDetector: A binary PSO-based one-class classifier ensemble to detect obfuscated JavaScript code by Jodavi, Mehran, Abadi, Mahdi, Parhizkar, Elham

    Published: IEEE 01.03.2015
    “… On the other hand, since a large quantity of benign JavaScript code is obfuscated to protect intellectual property, it is not effective to use the intrinsic features of obfuscated JavaScript code…”
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    Conference Proceeding
  10. 10

    Automatic Simplification of Obfuscated JavaScript Code: A Semantics-Based Approach by Gen Lu, Debray, S.

    ISBN: 1467320676, 9781467320672
    Published: IEEE 01.06.2012
    “…JavaScript is a scripting language that is commonly used to create sophisticated interactive client-side web applications. However, JavaScript code can also be…”
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    Conference Proceeding
  11. 11
  12. 12

    Characterizing Obfuscated JavaScript Using Abstract Syntax Trees: Experimenting with Malicious Scripts by Blanc, G., Miyamoto, D., Akiyama, M., Kadobayashi, Y.

    ISBN: 9781467308670, 1467308676
    Published: IEEE 01.03.2012
    “…Obfuscation, code transformations that make the code unintelligible, is still an issue for web malware analysts and is still a weapon of choice for attackers…”
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    Conference Proceeding
  13. 13

    EMC Assigned Patent for Dynamically Obfuscated Javascript

    Published: Washington, D.C Targeted News Service 26.03.2014
    Published in Targeted News Service (26.03.2014)
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    Newsletter
  14. 14
  15. 15

    Security and privacy mechanisms for web and third-party applications by Xu, Wei

    ISBN: 1339128209, 9781339128207
    Published: ProQuest Dissertations & Theses 01.01.2013
    “…Web and third party applications are new forms of computer applications that heavily leverage the Internet and are compatible with various platforms such as…”
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    Dissertation
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  17. 17

    Efficient Method for Analyzing Malicious Websites by Using Multi-Environment Analysis System by Hirotomo, Masanori, Nishio, Yuya, Kamizono, Masaki, Fukuta, Youji, Mohri, Masami, Shiraishi, Yoshiaki

    Published: IEEE 01.08.2017
    “…The malicious websites used by drive-by download attacks change their behavior for web client environments. To analyze the behavior of malicious websites, the…”
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    Conference Proceeding
  18. 18

    Fortinet June Threat Landscape report shows new variations of Sasfis Botnet, Obfuscated JavaScript attacks

    Published: Dubai Mediaquest Corp 04.07.2010
    Published in Middle East Company News (04.07.2010)
    “…  Fortinet (NASDAQ: FTNT) is a worldwide provider of network security appliances and the market leader in unified threat management (UTM). Our products and…”
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    Newspaper Article
  19. 19

    Towards enhanced PDF maldocs detection with feature engineering: design challenges by Falah, Ahmed, Pokhrel, Shiva Raj, Pan, Lei, de Souza-Daw, Anthony

    ISSN: 1380-7501, 1573-7721
    Published: New York Springer US 01.11.2022
    Published in Multimedia tools and applications (01.11.2022)
    “… Also, we discover that increasingly more malicious files i) contain evasive and obfuscated JavaScript code, ii…”
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    Journal Article
  20. 20

    ZipAST: Enhancing malicious JavaScript detection with sequence compression by Chen, Zixian, Wang, Weiping, Qin, Yan, Zhang, Shigeng

    ISSN: 0167-4048
    Published: Elsevier Ltd 01.06.2025
    Published in Computers & security (01.06.2025)
    “…JavaScript is a key component of websites and greatly enhances web page functionality. At the same time, it has become one of the most common attack vectors in…”
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    Journal Article