作者: Nico van Heijningen
DOI:
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摘要: Due to recent developments: leaks of large lists user passwords (e.g. LinkedIn), new probabilistic password cracking techniques and the introduction using GPUs. Passwords can now be cracked faster than ever before. The leaked have been analyzed by hackers common patterns found inside are being exploited crack others. We a collection these generated list most in order furthermore, we compared distribution characters that English text. Next built state-of-the-art strength analysis demonstrator is able show which contained why it could considered ’weak’ password. modeled after realistic scenario an automated attack assessed ’strong’ should therefore ’survive’ such attack. convinced our improvement over current measurements because results lesser ’false sense security’ amongst its users helps them make their more resistant against attacks