Publication Details

Distributed password cracking with BOINC and hashcat

HRANICKÝ Radek, ZOBAL Lukáš, RYŠAVÝ Ondřej and KOLÁŘ Dušan. Distributed password cracking with BOINC and hashcat. Digital Investigation, vol. 30, no. 1, 2019, pp. 161-172. ISSN 1742-2876. Available from: http://www.sciencedirect.com/science/article/pii/S1742287619301446
Czech title
Distribuované lámání hesel s využitím nástrojů BOINC a hashcat
Type
journal article
Language
english
Authors
URL
Keywords

hashcat, BOINC, cracking, distributed computing, GPGPU

Abstract

Considering today's challenges in digital forensics, for password cracking, distributed computing is a necessity. If we limit the selection of password-cracking tools strictly to open-source software, hashcat tool unambiguously wins in speed, repertory of supported hash formats, updates, and community support. Though hashcat itself is by design a single-machine solution, its interface makes it possible to use the tool as a base construction block of a larger distributed system. Creating a "distributed hashcat" which supports the maximum of hashcat's original features requires a smart controller that employs different distribution strategies in different cases. In the paper, we show how to use BOINC framework to control a network of hashcat-equipped nodes and provide a working solution for performing different cracking attacks. We also provide experimental results of multiple cracking tasks to demonstrate the applicability of our approach. Last but not least, we compare our solution to an existing hashcat-based distributed tool - Hashtopolis.

Published
2019
Pages
161-172
Journal
Digital Investigation, vol. 30, no. 1, ISSN 1742-2876
Publisher
Elsevier Science
DOI
UT WoS
000488201900015
EID Scopus
BibTeX
@ARTICLE{FITPUB11961,
   author = "Radek Hranick\'{y} and Luk\'{a}\v{s} Zobal and Ond\v{r}ej Ry\v{s}av\'{y} and Du\v{s}an Kol\'{a}\v{r}",
   title = "Distributed password cracking with BOINC and hashcat",
   pages = "161--172",
   journal = "Digital Investigation",
   volume = 30,
   number = 1,
   year = 2019,
   ISSN = "1742-2876",
   doi = "10.1016/j.diin.2019.08.001",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11961"
}
Files
Back to top