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XSS Vulnerability Test Enhancement for Progressive Web Applications

  • Conference paper
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Digital Forensics and Cyber Crime (ICDF2C 2023)

Abstract

Progressive Web Applications produce false negative results when scanned with security vulnerability scanners. In this paper the authors investigate the causes behind vulnerability scanners missing simple vulnerabilities when being used on Progressive Web Applications (PWAs).

Moreover, an analysis of the caveats of only having fully automated vulnerability scans and manual pentests, without a semi-automatic tool covering the gap between the two, will be performed. An explanation of how such tool has been built will be delivered at the end of the paper.

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References

  1. Qualys website. https://www.qualys.com/

  2. Vulnerability Assessment Gartner Ranking. https://www.gartner.com/reviews/market/vulnerability-assessment

  3. Harnessing Modern Web Architecture with Progressive Web Apps. https://mentormate.com/blog/modern-web-application-architecture/

  4. Vue Storefront Headless Ecommerce. https://www.vuestorefront.io/

  5. PortSwigger Active Scan++ website. https://portswigger.net/bappstore/3123d5b5f25c4128894d97ea1acc4976

  6. Zed Attack Proxy (ZAP) website. https://www.zaproxy.org/

  7. Wfuzz: The Web fuzzer Documentation. https://wfuzz.readthedocs.io/en/latest/

  8. Arjunt: HTTP Parameter Discovery Suite Github Project. https://github.com/s0md3v/Arjun

  9. XSStrike: Advanced XSS Detection Suite Github Project. https://github.com/s0md3v/XSStrike

  10. SQLmap website. https://sqlmap.org/

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Correspondence to Josep Pegueroles Valles .

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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Valles, J.P., Bongard, S.K., Castellví, A.E. (2024). XSS Vulnerability Test Enhancement for Progressive Web Applications. In: Goel, S., Nunes de Souza, P.R. (eds) Digital Forensics and Cyber Crime. ICDF2C 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 571. Springer, Cham. https://doi.org/10.1007/978-3-031-56583-0_10

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  • DOI: https://doi.org/10.1007/978-3-031-56583-0_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-56582-3

  • Online ISBN: 978-3-031-56583-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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