Detail publikace

Distributed password cracking with BOINC and hashcat

HRANICKÝ, R. ZOBAL, L. RYŠAVÝ, O. KOLÁŘ, D.

Originální název

Distributed password cracking with BOINC and hashcat

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

hashcat, BOINC, cracking, distributed computing, GPGPU

Autoři

HRANICKÝ, R.; ZOBAL, L.; RYŠAVÝ, O.; KOLÁŘ, D.

Vydáno

10. 4. 2019

ISSN

1742-2876

Periodikum

Digital Investigation

Ročník

30

Číslo

1

Stát

Nizozemsko

Strany od

161

Strany do

172

Strany počet

12

URL

http://www.sciencedirect.com/science/article/pii/S1742287619301446

BibTex

@article{BUT159967,
  author="Radek {Hranický} and Lukáš {Zobal} and Ondřej {Ryšavý} and Dušan {Kolář}",
  title="Distributed password cracking with BOINC and hashcat",
  journal="Digital Investigation",
  year="2019",
  volume="30",
  number="1",
  pages="161--172",
  doi="10.1016/j.diin.2019.08.001",
  issn="1742-2876",
  url="http://www.sciencedirect.com/science/article/pii/S1742287619301446"
}