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undergraduate thesis
Analiza i mjerenje izlaza obfuskatora JavaScript koda
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:042368
Jelavić, Matija
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Jelavić, M. (2023). Analiza i mjerenje izlaza obfuskatora JavaScript koda (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:042368

Jelavić, Matija. "Analiza i mjerenje izlaza obfuskatora JavaScript koda." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:042368

Jelavić, Matija. "Analiza i mjerenje izlaza obfuskatora JavaScript koda." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:042368

Jelavić, M. (2023). 'Analiza i mjerenje izlaza obfuskatora JavaScript koda', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 04 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:042368

Jelavić M. Analiza i mjerenje izlaza obfuskatora JavaScript koda [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 November 04] Available at: https://urn.nsk.hr/urn:nbn:hr:168:042368

M. Jelavić, "Analiza i mjerenje izlaza obfuskatora JavaScript koda", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:042368

Metadata
TitleAnaliza i mjerenje izlaza obfuskatora JavaScript koda
Title (english)Analiza i mjerenje izlaza obfuskatora JavaScript koda
AuthorMatija Jelavić
MentorStjepan Groš (mentor)
Committee memberStjepan Groš (predsjednik povjerenstva)
Committee memberMarko Barišić (član povjerenstva)
Committee memberPetar Paradžik (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-06, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Velika uloga programskog jezika JavaScript u web stranicama postaje meta koju napadači žele iskoristiti. Jedna od metoda koju koriste je obfuskacija, tehnika otežavanja čitanja izvornog koda. Detekcijom obfuskacije moguće je otkriti potencijalno zloćudni kod, a jedan od pristupa detekciji je strojno učenje. U ovom radu je opisana obfuskacija i metode kojom se postiže te je potom opisan alat obfuscator.io i ukratko uspoređen sa svim ostalim javno dostupnim besplatnim obfuskatorima na temelju opcija i izlaza. Automatizacija usporedbe se može provesti alatom izrađenim za potrebe ovog rada kojim se došlo do zaključka da za potrebe generiranja skupa podataka za strojno učenje nije dovoljno koristiti jedan obfuskator, nego više njih s obzirom na to da funkcioniraju na različite načine i koriste različite mogućnosti JavaScript programskog jezika.
Abstract (english)
The large role of the JavaScript programming language in web pages is becoming a target that attackers want to exploit. One of the methods they use is obfuscation, a technique to make the source code harder to read. Detecting obfuscation can lead to revealing potentially malicious code, and one approach to detection is machine learning. This paper describes obfuscation and the methods by which it is achieved. Later on it describes the obfuscator.io tool and briefly compares it, based on options and output, to all other publicly available free obfuscators. The automation of the comparison can be carried out with a tool created for the purposes of this work by help of which it was concluded that for the purposes of generating a dataset for machine learning, it is not enough to use one obfuscator, but several, because they function in different ways and use different capabilities of the JavaScript programming language.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:042368
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-10-11 09:08:42