Follow @Openwall on Twitter for new release announcements and other news
[<prev] [next>] [<thread-prev] [thread-next>] [day] [month] [year] [list]
Date: Tue, 8 Oct 2013 17:16:36 -0600
From: Kevin Young <kevin.p.young@...il.com>
To: "john-users@...ts.openwall.com" <john-users@...ts.openwall.com>
Cc: "john-users@...ts.openwall.com" <john-users@...ts.openwall.com>
Subject: Re: How best to compute this via john

Excellent observations Rich. 

You are right, the CDDB is difficult to mine. As far as most popular artist, song titles, etc. it seems to follow the timeline of history. That is, we see more U2 than Beatles. But I suspect that as time goes, in future breaches will see more Lady GaGa than Madonna. 

That's where Josh's work with Twitter comes in. Twitter allows us to catch words that are trending or mentioned together. And that follows time. 

Based on conversations with others at Passwords13 I took the text from Alice in Wonderland, call of the wild, tale of two cities, war and peace, and other books. What I discovered was that this actually just dumbs down the quality of the password. Long phrases become very short passwords. "It was a dark and stormy night" becomes "iwadasn".  Another popular one "savethecheerleaderssavetheworld" = "stcstw". 

In fact, they become so short it was faster to brute force. I realize my corpus was rather small. However, I still only managed to get a small handful of plain texts across linkedin and stratfor. 

Your thoughts and ideas?

Sent from my iPhone

On Oct 8, 2013, at 11:43 AM, Rich Rumble <richrumble@...il.com> wrote:

> On Tue, Oct 8, 2013 at 12:11 PM, Stephen John Smoogen <smooge@...il.com>wrote:
> 
>> 
>> http://arstechnica.com/security/2013/10/how-the-bible-and-youtube-are-fueling-the-next-frontier-of-password-cracking/2/
>> 
>> Someone, not me, needs to create a parser for IMDB,
> http://imdbpy.sourceforge.net/ I've not been able to make use of that yet.
> You can mirror IMDB's text database's http://www.imdb.com/interfaces by
> visiting those FTP links.
> I've long used the Free-CDDB database, full of perfect phrases and pop
> culture. My perl scripts for extracting the data from it (free-cddb) are
> not so good, but the list I've made has been useful nonetheless.
> Movie titles, song names, artist's, famous quotes are all good places to
> start. What end's up happening however, and this is where more needs to be
> done, is that you get a ton of phrases to use, but no ranking or knowledge
> of what is more likely to work. That's what is needed to be more effective
> at cracking pass phrases, some ranking system or the like. See how many
> google results come back for a pharse or something? Or a bandname/artist
> name? Might help weed out some phrases that won't come up.
> 
> As far as mangling rules, you'd need to insert spaces, remove spaces, add
> space and cap the next letter after the space, remove the space and cap the
> letter after the removed space. Remove all but the first letter after each
> space "ask not what you can do for you're country" = anwycdfyc
> Stuff like that too :)
> -rich

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.