Towards Fully Automated Infinitely Scalable and Maximally Effective Password Cracking of Encrypted Documents
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU135658" target="_blank" >RIV/00216305:26230/19:PU135658 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.fit.vut.cz/research/publication/12147/" target="_blank" >https://www.fit.vut.cz/research/publication/12147/</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Towards Fully Automated Infinitely Scalable and Maximally Effective Password Cracking of Encrypted Documents
Popis výsledku v původním jazyce
The lecture outlines password-cracking use-cases, employed formats, current GPU/FPGA performance limits and existing (non-)commercial cracking tools. Moreover, we will introduce our hypervisor for distributed password cracking that helps investigators to utilize the potential of their infrastructure. We will show how to: a) automatically extract hashes from encrypted documents; b) prepare and evaluate password key space (e.g., generate passwords using Markov chains / rule-based grammars and handling of passwords containing national characters); c) orchestrate various cracking strategies (e.g., a combination of dictionaries). Last but not least, we will speak about our experience when developing our own GPU-based hardware cracking platform competitive with industry standards from well-known vendors.
Název v anglickém jazyce
Towards Fully Automated Infinitely Scalable and Maximally Effective Password Cracking of Encrypted Documents
Popis výsledku anglicky
The lecture outlines password-cracking use-cases, employed formats, current GPU/FPGA performance limits and existing (non-)commercial cracking tools. Moreover, we will introduce our hypervisor for distributed password cracking that helps investigators to utilize the potential of their infrastructure. We will show how to: a) automatically extract hashes from encrypted documents; b) prepare and evaluate password key space (e.g., generate passwords using Markov chains / rule-based grammars and handling of passwords containing national characters); c) orchestrate various cracking strategies (e.g., a combination of dictionaries). Last but not least, we will speak about our experience when developing our own GPU-based hardware cracking platform competitive with industry standards from well-known vendors.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/VI20172020062" target="_blank" >VI20172020062: Integrovaná platforma pro zpracování digitálních dat z bezpečnostních incidentů (TARZAN)</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů