Search Results - JavaScript malware

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  1. 1

    On JavaScript Malware and related threats: Web page based attacks revisited by Johns, Martin

    ISSN: 1772-9890, 1772-9904
    Published: Paris Springer-Verlag 01.08.2008
    Published in Journal in computer virology (01.08.2008)
    “…The term JavaScript Malware describes attacks that abuse the web browser’s capabilities to execute malicious script-code within…”
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    Journal Article
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    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
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    Next-generation antivirus for JavaScript malware detection based on dynamic features by de Lima, Sidney M. L., Souza, Danilo M., Pinheiro, Ricardo P., Silva, Sthéfano H. M. T., Lopes, Petrônio G., de Lima, Rafael D. T., de Oliveira, Jemerson R., Monteiro, Thyago de A., Fernandes, Sérgio M. M., Albuquerque, Edison de Q., da Silva, Washington W. A., dos Santos, Wellington P.

    ISSN: 0219-1377, 0219-3116
    Published: London Springer London 01.02.2024
    Published in Knowledge and information systems (01.02.2024)
    “… So, we created an antivirus, endowed with machine learning, expert in detecting JavaScript malware based on Runtime Behaviors…”
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    Journal Article
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    A Systematic Literature Review and Quality Analysis of Javascript Malware Detection by Sohan, Md. Fahimuzzman, Basalamah, Anas

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2020
    Published in IEEE access (2020)
    “…: In this investigation, we provided a general view and a quick understanding of JavaScript Malware Detection (JSMD…”
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    Journal Article
  5. 5

    Hunting for metamorphic JavaScript malware by Musale, Mangesh, Austin, Thomas H., Stamp, Mark

    ISSN: 2263-8733, 2263-8733
    Published: Paris Springer Paris 01.05.2015
    “…The Internet plays a major role in the propagation of malware. A recent trend is the infection of machines through web pages, often due to malicious code inserted in JavaScript…”
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    Journal Article
  6. 6

    A Novel Synthetic Dataset for JavaScript Malware Detection by Ikni, Hind, Belfedhal, Alaa Eddine

    Published: IEEE 02.12.2025
    “… In this paper, we introduce a novel synthetic dataset of JavaScript snippets that are programmatically labeled and balanced…”
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    Conference Proceeding
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    Enhancing JavaScript Malware Detection through Weighted Behavioral DFAs by Pereira, Pedro, Gonçalves, José, Vitorino, João, Maia, Eva, Praça, Isabel

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 27.05.2025
    Published in arXiv.org (27.05.2025)
    “…This work addresses JavaScript malware detection to enhance client-side web application security with a behavior-based system…”
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    Paper
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    JavaScript malware behaviour analysis and detection using sandbox assisted ensemble model by Kishore, Pushkar, Barisal, Swadhin Kumar, Prasad Mohapatra, Durga

    ISSN: 2159-3450
    Published: IEEE 16.11.2020
    Published in TENCON ... IEEE Region Ten Conference (16.11.2020)
    “… Attackers take advantage of the dynamic nature of the JavaScript and embed malicious code within the website to download malware and damage the host…”
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    Conference Proceeding
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    Advanced transcriptase for JavaScript malware by Di Troia, Fabio, Visaggio, Corrado Aaron, Austin, Thomas H., Stamp, Mark

    Published: IEEE 01.10.2016
    “…Previous work has shown that JavaScript malware can manipulate its internal code with relative ease using an approach known as Transcriptase…”
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    Conference Proceeding
  12. 12

    Javascript Malware Detection Using A High-Level Fuzzy Petri Net by Shen, Victor R. L., Wei, Chin-Shan, Juang, Tony Tong-Ying

    ISSN: 2160-1348
    Published: IEEE 01.07.2018
    “… Therefore, malicious JavaScript is the greatest threats within the cyber world. This paper proposes a novel method of detecting the JavaScript malware by using a high-level fuzzy Petri net (HLFPN…”
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    Conference Proceeding
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    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)
    “…JavaScript malware is one of the major threats to web security. A big challenge in detecting such malicious JavaScript is obfuscation, which transforms…”
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    Journal Article
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    A Memory Forensics Approach to Detect Advanced Modular Malware by Nair, Shruti, Sharma, Avni, Mujumdar, Shilpa Bhaskar

    Published: IEEE 14.11.2025
    “…The V8 JavaScript engine enables high-performance JavaScript code execution through just-in-time compilation and optimized memory management…”
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    Conference Proceeding
  16. 16

    Detecting PDF JavaScript malware using clone detection by Karademir, Saruhan A

    ISBN: 0499258991, 9780499258991
    Published: ProQuest Dissertations & Theses 01.01.2013
    “…One common vector of malware is JavaScript in Adobe Acrobat (PDF) files. In this thesis, we investigate using near-miss clone detectors to find this malware…”
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    Dissertation
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    Improving JavaScript Malware Classifier's Security against Evasion by Particle Swarm Optimization by Zibo Yi, Jun Ma, Lei Luo, Jie Yu, Qingbo Wu

    ISSN: 2324-9013
    Published: IEEE 01.08.2016
    Published in 2016 IEEE Trustcom/BigDataSE/ISPA (01.08.2016)
    “…Machine learning techniques have recently been applied to JavaScript malware detection…”
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    Conference Proceeding
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    JavaScript Malware Explodes: Proofpoint Report by Urrico, Roy

    Published: New York ALM Media Properties, LLC 26.07.2016
    Published in Credit Union Times. Breaking News (26.07.2016)
    “…In Proofpoint's Quarterly Threat Summary, researchers also revealed the volume of malicious JavaScript attachments reached levels that have never been seen before, peaking at hundreds of millions…”
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    Trade Publication Article
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