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Focus on cybersecurity: A Django-based web application for vulnerability searches.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2024 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Cybersecurity has been of importance in the cyber world for many years, however, the last past years have shown that cyberattacks occur broadly around the world and are more robust than it has been

previously. This is because the threats affect many organizations, systems, and networks. The interest to secure assets, information, and data has been demanding, and security professionals assist daily in identifying, securing, and preventing cyber threats from occurring (McElroy, 2020; López, and Varela, 2018). Vulnerability assessment and penetration testing are two examples of security measures where security professionals identify vulnerabilities and threats. However, it has also been seen that several of the existing security tools in the market are demanding to use and are time-consuming to manage. It has also been seen by security professionals that vulnerability assessment tools could be difficult and multiple tools would be needed to do a deep analysis of existing vulnerabilities in organizations and systems (Fagroud, et.al, 2020; Sree, 2022). This research contributes to cybersecurity where the focus is to make the process of vulnerability assessment more efficient by integrating several security functions into the same solution. The research also follows the design science research, where the artifact will be an initiation. Several methods will be utilized to construct and develop the end artifact. Examples of such are expert interviews, literature reviews, interviews with stakeholders, prototypes, and scenario-based field experiments. The artifact is a web application called VASHO, which is constructed on the Django framework with the integration of Shodan and CVE. Several functions of the web application include the use of a search function with filters already implemented, the possibility to download the results, the possibility to use their own Shodan API instead of the free one, and a personalized login page.

Place, publisher, year, edition, pages
2024.
Keywords [en]
security, shodan, vulnerability scanning, penetration testing
National Category
Information Systems
Identifiers
URN: urn:nbn:se:su:diva-242724OAI: oai:DiVA.org:su-242724DiVA, id: diva2:1955656
Available from: 2025-04-30 Created: 2025-04-30

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fulltext(5581 kB)35 downloads
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf