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marcan42's profile
Hector Martin
Hector Martin
Hector Martin
@marcan42

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Hector Martin

@marcan42

If it ain't broke, I'll fix it! I'm porting Linux to Apple Silicon Macs at @AsahiLinux. http://patreon.com/marcan  | http://github.com/sponsors/marcan 

Tokyo, Japan
marcan.st
Joined May 2009

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    1. Royce Williams‏ @TychoTithonus 5 Aug 2017
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      Replying to @TychoTithonus @PwdRsch and

      And if you are hashing your users' passwords with high-cost bcrypt or scrypt, a smaller blacklist provides good cross-coverage

      1 reply 1 retweet 1 like
    2. PasswordResearch.com‏ @PwdRsch 5 Aug 2017
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      Replying to @TychoTithonus @thorsheim and

      Do you think people could estimate a blacklist size based on a specific hash speed, or more broad guidelines than that?

      1 reply 0 retweets 2 likes
    3. Royce Williams‏ @TychoTithonus 5 Aug 2017
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      Replying to @PwdRsch @thorsheim and

      That is a super interesting idea, and I bet quite possible! A calculator would need to let the user select their threat model variables.

      2 replies 0 retweets 2 likes
    4. Lakiw has 15% of your password‏ @lakiw 5 Aug 2017
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      Replying to @TychoTithonus @PwdRsch and

      I feel the need to mention this paper by @CormacHerley about password blacklists and bloom filters: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/popularityISeverything.pdf …

      1 reply 2 retweets 7 likes
    5. Maximilian Golla‏ @m33x 5 Aug 2017
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      Replying to @lakiw @TychoTithonus and

      And I like to add it's follow up work https://www.usenix.org/system/files/conference/soups2017/soups2017-segreti.pdf …

      1 reply 3 retweets 6 likes
    6. Royce Williams‏ @TychoTithonus 5 Aug 2017
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      Replying to @m33x @lakiw and

      At least I'm reinventing better and better wheels. I must be on to something! ;)

      1 reply 0 retweets 0 likes
    7. Per Thorsheim‏Verified account @thorsheim 6 Aug 2017
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      Replying to @TychoTithonus @m33x and

      I simply love these Twitter discussions that ends up with @PwdRsch, @lakiw, @m33x & @CormacHerley being right, with a link to prove it. :D

      1 reply 0 retweets 4 likes
    8. Cormac Herley‏ @CormacHerley 7 Aug 2017
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      Replying to @thorsheim @TychoTithonus and

      Sorry to wade in late. Agree @thorsheim ban 1-10k. Users will get why monkey1 isn't OK. Banning 300m will prob annoy too much for benefit.

      1 reply 3 retweets 3 likes
    9. Hector Martin‏ @marcan42 7 Aug 2017
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      Replying to @CormacHerley @thorsheim and

      I know math is hard, but am I seriously the only one capable of mentally guesstimating the coverage of a 300M blacklist?

      1 reply 0 retweets 0 likes
    10. Hector Martin‏ @marcan42 7 Aug 2017
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      Replying to @marcan42 @CormacHerley and

      "monkey1" isn't in the top1k and is barely in the top10k. To pass the 300M blacklist all you need is "monkey%33". This stuff is exponential.

      1 reply 0 retweets 0 likes
      Hector Martin‏ @marcan42 7 Aug 2017
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      Replying to @marcan42 @CormacHerley and

      FFS, the 300M blocklist only covers 37% of /usr/share/dict/words, with no numbers or other transformations!

      8:11 PM - 7 Aug 2017
      • 2 Likes
      • PasswordResearch.com Royce Williams
      1 reply 0 retweets 2 likes
        1. New conversation
        1. Royce Williams‏ @TychoTithonus 7 Aug 2017
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          Replying to @marcan42 @CormacHerley and

          I think we're agreed: 320M blacklist is suboptimal. Instead, check common dicts & passwords, masks, length, & let user select random phrase

          1 reply 0 retweets 0 likes
        2. Lakiw has 15% of your password‏ @lakiw 8 Aug 2017
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          Replying to @TychoTithonus @marcan42 and

          Causing trouble here but [[citation needed]] ;p I'm struggling because I agree with you but I can't back up 320M blacklist is sub-optimal...

          3 replies 0 retweets 1 like
        3. Show replies

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