Search Results - JavaScript malicious code*

自编码网络在JavaScript恶意代码检测中的应用研究 by 龙廷艳, 万良, 丁红卫

“…TP391; 针对传统机器学习特征提取方法很难发掘JavaScript恶意代码深层次本质特征的问题,提出基于堆栈式稀疏降噪自编码网络(sSDAN)的JavaScript恶意代码检测方法.首先将JavaScript恶意代码进行数值化处理,然后在自编码网络的基础上加入稀疏性限制,同时加入一定概率分布的噪声进行染噪的学习训练…”
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PDF Malicious Indicators Extraction Technique Based on Improved Symbolic Execution by Song, Enzhou, Hu, Tao, Yi, Peng, Wang, Wenbo

“…The malicious PDF document is a common attack method used by APT organizations.Analyzing extracted indicators of embedded JavaScript code is an important means to determine the maliciousness…”
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JACLNet:Application of adaptive code length network in JavaScript malicious code detection by Zhang, Zhining, Wan, Liang, Chu, Kun, Li, Shusheng, Wei, Haodong, Tang, Lu

“…Currently, JavaScript malicious code detection methods are becoming more and more…”
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Detection of Obfuscated Malicious JavaScript Code by Alazab, Ammar, Khraisat, Ansam, Alazab, Moutaz, Singh, Sarabjot

“…Websites on the Internet are becoming increasingly vulnerable to malicious JavaScript code because of its strong impact and dramatic effect…”
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Detecting malicious JavaScript code based on semantic analysis by Fang, Yong, Huang, Cheng, Su, Yu, Qiu, Yaoyao

“… However, attackers use the dynamics feature of JavaScript language to embed malicious code into web pages for the purpose of drive-by-download, redirection, etc…”
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Malicious JavaScript Code Detection Based on Hybrid Analysis by He, Xincheng, Xu, Lei, Cha, Chunliu

“… However, since the heavy use of obfuscation techniques, many methods no longer apply to malicious JavaScript code detection, and it has been a huge challenge to de-obfuscate obfuscated malicious Java…”
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JStrong: Malicious JavaScript detection based on code semantic representation and graph neural network by Fang, Yong, Huang, Chaoyi, Zeng, Minchuan, Zhao, Zhiying, Huang, Cheng

“… However, the attacker uses the dynamic characteristics of the JavaScript language to embed malicious code into web pages to achieve the purpose of smuggling, redirection, and so on…”
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A Discovery System of Malicious Javascript URLs hidden in Web Source Code Files by Park, Hweerang, Cho, Sang-Il, Park, Jungkyu, Cho, Youngho

“… To establish a botnet, attackers usually inject malicious URLs into web source codes stealthily by using data hiding methods like Javascript obfuscation techniques to avoid being discovered…”
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Analysis and Identification of Malicious JavaScript Code by Fraiwan, Mohammad, Al-Salman, Rami, Khasawneh, Natheer, Conrad, Stefan

“…Malicious JavaScript code has been actively and recently utilized as a vehicle for Web-based security attacks…”
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A Protection Mechanism against Malicious HTML and JavaScript Code in Vulnerable Web Applications by Chai, Chuansen, Zhao, Xu, Wang, Qingxian, Yan, Xuexiong, Liu, Shukai, Sun, Yajing

“…The high-profile attacks of malicious HTML and JavaScript code have seen a dramatic increase in both awareness and exploitation in recent years…”
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Detection Approach of Malicious JavaScript Code Based on deep learning by Zheng, Liyuan, Zhang, Dongcheng, Xie, Xin, Wang, Chen, Hou, Boyuan

“…Traditional machine learning methods for detecting JavaScript malicious code have the problems of complex feature extraction process, extensive computation, and difficult detection due to malicious…”
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Detecting Malicious JavaScript Using Structure-Based Analysis of Graph Representation by Rozi, Muhammad Fakhrur, Ban, Tao, Ozawa, Seiichi, Yamada, Akira, Takahashi, Takeshi, Kim, Sangwook, Inoue, Daisuke

“…Malicious JavaScript code in web applications poses a significant threat as cyber attackers exploit it to perform various malicious activities…”
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Spider bird swarm algorithm with deep belief network for malicious JavaScript detection by Alex, Scaria, Dhiliphan Rajkumar, T

“… However, the flexibility of JavaScript made these applications more prone to attacks that induce malicious behaviors in the code…”
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The power of obfuscation techniques in malicious JavaScript code: A measurement study by Wei Xu, Fangfang Zhang, Sencun Zhu

“… 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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A Survey on Current Malicious JavaScript Behavior of infected Web Content in Detection of Malicious Web pages by Nurulsafawati Wan Manan, Wan, Nizam Mohmad Kahar, Mohd, Mohd Ali, Noorlin

“… With the improvement of web technologies enable attackers to launch the web-based attacks and other malicious code easily without having prior expert knowledge…”
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AMA: Static Code Analysis of Web Page for the Detection of Malicious Scripts by Seshagiri, Prabhu, Vazhayil, Anu, Sriram, Padmamala

“… To defend against obfuscated malicious JavaScript code, we propose a mostly…”
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JSRevealer: A Robust Malicious JavaScript Detector against Obfuscation by Ren, Kunlun, Qiang, Weizhong, Wu, Yueming, Zhou, Yi, Zou, Deqing, Jin, Hai

“… As the main programming language for Web applications, many methods have been proposed for detecting malicious JavaScript, among which static analysis-based methods play an important role…”
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Filtering Malicious JavaScript Code with Doc2Vec on an Imbalanced Dataset by Mimura, Mamoru, Suga, Yuya

“…Drive-by download attacks are one of main threats on the Internet. Several detection methods are to build run-time environments that allow JavaScript code to run and track its behavior while it runs…”
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MOJI: Character-level convolutional neural networks for Malicious Obfuscated JavaScript Inspection by Ishida, Minato, Kaneko, Naoshi, Sumi, Kazuhiko

“… Many malicious JavaScript detection methods perform code abstraction and prior feature extraction to uncover the functionality hidden by obfuscation…”
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Wobfuscator: Obfuscating JavaScript Malware via Opportunistic Translation to WebAssembly by Romano, Alan, Lehmann, Daniel, Pradel, Michael, Wang, Weihang

“…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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