Towards Fully Automated Infinitely Scalable and Maximally Effective Password Cracking of Encrypted Documents

Kód výsledku v IS VaVaI

RIV/00216305:26230/19:PU135658 - isvavai.cz

Výsledek na webu

https://www.fit.vut.cz/research/publication/12147/

DOI - Digital Object Identifier

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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.

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)

Projekt

VI20172020062: Integrovaná platforma pro zpracování digitálních dat z bezpečnostních incidentů (TARZAN)

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů