Follow @Openwall on Twitter for new release announcements and other news
[<prev] [next>] [<thread-prev] [thread-next>] [day] [month] [year] [list]
Date: Fri, 13 Apr 2012 22:48:29 +0200
From: Simon Marechal <simon@...quise.net>
To: john-users@...ts.openwall.com
Subject: Re: .chr files (Was: automation equipped working place
 of hash cracker, proposal)

Le 13/04/2012 21:59, Rich Rumble a écrit :
> Has anyone ever looked at any bayesian "predictions"? I'm no CS
> professor, but it may be a neat endeavor for someone to look at. There
> may be too much information to make a likely prediction, perhaps
> finding (less obvious)patterns based on C V or D.

Actually I have thought a bit about this. This could be fascinating to
be able to deduce the kind of patterns somebody would use based on
knowledge about him. For example I noticed that bank workers are more
likely to choose a holiday destination as a password than others (or
perhaps my dictionary had many holiday destination entries). This could
go the other way, as you might have an idea of the kind of person that
choose a star wars themed password. The only problem is that the
research needed to compute the statistics in the model would be herculean.

Even more basic stuff such as what you describe seems pretty far
fetched, as it would probably require an incredibly good choice of
random variables describing a password to be even remotely useful (and
tractable). But I am not really knowledgeable on these topics (perhaps
not for long), and there could be a silver bullet here.

Powered by blists - more mailing lists

Confused about mailing lists and their use? Read about mailing lists on Wikipedia and check out these guidelines on proper formatting of your messages.