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Comparison of Automated Password Guessing Strategies
Linköping University, Department of Electrical Engineering, Information Coding.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis examines some of the currently available programs for password guessing, in terms of designs and strengths. The programs Hashcat, OMEN, PassGAN, PCFG and PRINCE were tested for effectiveness, in a series of experiments similar to real-world attack scenarios. Those programs, as well as the program TarGuess, also had their design examined, in terms of the extent of how they use different important parameters. It was determined that most of the programs use different models to deal with password lists, in order to learn how new, similar, passwords should be generated. Hashcat, PCFG and PRINCE were found to be the most effective programs in the experiments, in terms of number of correct password guessed each second. Finally, a program for automated password guessing based on the results was built and implemented in the cyber range at the Swedish defence research agency.

Place, publisher, year, edition, pages
2019. , p. 70
Keywords [en]
password guessing, password cracking, security
Keywords [sv]
lösenordsgissning, lösenordsknäckning, säkerhet
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:liu:diva-157398ISRN: LiTH-ISY-EX--19/5213--SEOAI: oai:DiVA.org:liu-157398DiVA, id: diva2:1325687
External cooperation
Totalförsvarets forskningsinstitut (FOI)
Subject / course
Computer Engineering
Presentation
2019-06-07, Linköping, 10:15 (Swedish)
Supervisors
Examiners
Available from: 2019-06-19 Created: 2019-06-17 Last updated: 2019-06-19Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • Other style
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  • de-DE
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  • en-US
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  • nn-NO
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  • sv-SE
  • Other locale
More languages
Output format
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