Suchergebnisse - Obfuscated JavaScript~

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

“… 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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Detection of Obfuscated Malicious JavaScript Code von Alazab, Ammar, Khraisat, Ansam, Alazab, Moutaz, Singh, Sarabjot

“… This paper proposes an automatic IDS of obfuscated JavaScript that employs several features and machine-learning techniques that effectively distinguish malicious and benign JavaScript codes …”
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On improvements of robustness of obfuscated JavaScript code detection von Ponomarenko, G. S., Klyucharev, P. G.

“… This paper is dedicated to the problem of design of the detector for obfuscated JavaScript code using machine learning technologies …”
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Looking for Criminal Intents in JavaScript Obfuscated Code von Cerutti, Federico, di San Pietro, Daniele Barattieri, Gringoli, Francesco, Lamperti, Gianfranco

“… The majority of websites incorporate JavaScript for client-side execution in a supposedly protected environment …”
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Leveraging Machine Learning for the Identification of Obfuscated JavaScript in Phishing Attacks von Chukwuemeka, Prince, Kyrian, Onwuegbuchunam, Imoni, Okes

“… JavaScript obfuscation has emerged as a pervasive tactic employed by cybercriminals to conceal malicious code and facilitate phishing attacks …”
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Deobfuscation, unpacking, and decoding of obfuscated malicious JavaScript for machine learning models detection performance improvement von Ndichu, Samuel, Kim, Sangwook, Ozawa, Seiichi

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

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

“… JavaScript effectively. To solve this problem, we find that there are fixed templates for generating obfuscated code, which makes the original and obfuscated script have a mapping relationship in their structure …”
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Automatic Identification of Obfuscated Javascript Using Machine Learning von de Sousa Lima, Susana Maria

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

“… The detection of obfuscated code in JavaScript is a challenging task. A survey of existing techniques for obfuscation detection in JavaScript is presented …”
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Social Engineering Attacks Using Technical Job Interviews: Real-Life Case Analysis and AI-Assisted Mitigation Proposals von Sanguino, Tomás de J. Mateo

“… Technical job interviews have become a vulnerable environment for social engineering attacks, particularly when they involve direct interaction with malicious …”
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Detecting Malicious Campaigns in Obfuscated JavaScript with Scalable Behavioral Analysis von Starov, Oleksii, Zhou, Yuchen, Wang, Jun

“… Modern security crawlers and firewall solutions have to analyze millions of websites on a daily basis, and significantly more JavaScript samples …”
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ZipAST: Enhancing malicious JavaScript detection with sequence compression von Chen, Zixian, Wang, Weiping, Qin, Yan, Zhang, Shigeng

“… JavaScript is a key component of websites and greatly enhances web page functionality …”
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Obfuscated malicious javascript detection using classification techniques von Likarish, P., Eunjin Jung, Insoon Jo

“… Malicious javascript frequently serves as the initial infection vector for malware. We train several classifiers to detect malicious javascript and evaluate their performance …”
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JSObfusDetector: A binary PSO-based one-class classifier ensemble to detect obfuscated JavaScript code von Jodavi, Mehran, Abadi, Mahdi, Parhizkar, Elham

“… Over the past years, a number of dynamic analysis techniques have been proposed to detect obfuscated malicious JavaScript code at runtime …”
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Automatic Simplification of Obfuscated JavaScript Code: A Semantics-Based Approach von Gen Lu, Debray, S.

“… In order to avoid detection, attackers often take advantage of the dynamic nature of JavaScript to create highly obfuscated code …”
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Detection and Analysis of Obfuscated and Minified JavaScript in the Croatian Web Space von Dujmovic, Toni, Skendrovic, Bruno, Kovacevic, Ivan, Gros, Stjepan

“… This paper provides an overview of obfuscation and minification and the methods therein. The developed software tool uses regex, entropy and word size to detect and distinguish minified and obfuscated JavaScript libraries …”
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INTERNATIONAL PATENT: SECULETTER CO.,LTD., 시큐레터 주식회사 FILES APPLICATION FOR "METHOD FOR DETECTING AND DECODING OBFUSCATED JAVASCRIPT AND DEVICE THEREFOR"

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Obfuscated malicious javascript detection scheme using the feature based on divided URL von Morishige, Shoya, Haruta, Shuichiro, Asahina, Hiromu, Sasase, Iwao

“… On web application services, detecting obfuscated malicious JavaScript utilized for the attacks such as Drive-by-Download is an urgent demand …”
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Detecting obfuscated suspicious JavaScript based on collaborative training von Wu, Hongcheng, Qin, Sujuan

“… In the field of JavaScript malicious code detection, there has been a lot of research and application of machine learning methods …”
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