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" Analysis on Vulnerability Assessment for Web Based Malware "
Kurella, Sai Venkatesh
Nicholas, Charles
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Latin Dissertation
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| Language of Document
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English
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| Record Number
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1112014
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| Doc. No
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TLpq2512782113
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| Main Entry
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Kurella, Sai Venkatesh
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Nicholas, Charles
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| Title & Author
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Analysis on Vulnerability Assessment for Web Based Malware\ Kurella, Sai VenkateshNicholas, Charles
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| College
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University of Maryland, Baltimore County
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| Date
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2020
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| student score
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2020
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| Degree
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M.S.
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| Page No
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72
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| Abstract
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The rapid advancement of the internet has created significant changes to our everyday lives. The impact the Internet has on society is felt in almost everything we do. Right from health monitoring devices like fit-bit, apple watches, etc. to high tech self-driven cars, heavy machinery and air crafts, many devices are connected to the internet for multiple purposes. It becomes extremely important to protect and safeguard all of these from several web vulnerabilities present on the internet. A vulnerability present in the web application may result in disrupting of the service, loss of confidential data and more importantly, breaking of data integrity, huge trust and monetary losses. The dependencies between clients and the servers introduce huge security glitches, loopholes which can be exploited by a hacker to steal, corrupt, destroy the data. It requires deep insight and understanding to deal with web application security not because of the many tools that are available, but because of the evolving variants of malware attacks. Especially during the current times of the pandemic where lots of work is shifted online and all the naive users of the internet could easily fall prey to the malware attacks, emphasis must be laid on security of the application, safeguarding data and privacy by implementing security firewalls, intelligent malware detection systems. It is a matter of fact that JavaScript is used by 93.6% of all the websites and no wonder why JavaScript based cyberattacks are increasing exponentially. Hence, this study is focused on analyzing multiple script based malware attacks over web applications, and attempts to identify, assess the vulnerabilities in a web application, functionalities of the malware and analyze evolving debugging techniques.
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Computer science
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