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Message-ID: <CAOLP8p5pyZoyWkCjXxSov6x3qH++nc0ByD5ocThS6Na0kcHgUw@mail.gmail.com>
Date: Mon, 19 Oct 2015 11:39:54 -0700
From: Bill Cox <waywardgeek@...il.com>
To: "discussions@...sword-hashing.net" <discussions@...sword-hashing.net>
Subject: Re: BlaMka loses entropy

D'oh!  I was wrong.  The BlaMka round preserves entropy.  Sorry about the
mistake.  I've been doing mod p arithmetic so much I forgot this is mod
2^64, not mod p.

Bill

On Mon, Oct 19, 2015 at 11:17 AM, Bill Cox <waywardgeek@...il.com> wrote:

> This concerns me a great deal.  The Blake2 reduced round G is invertible.
> This proves there is zero entropy loss up to the point that we do the
> compression.  The BlaMka round does lose entropy.
>
> Basically, the regular Blake2 addition step looks like:
>
>     a = (a + b) % p
>
> After executing it, we know a+b, and b, and can invert it by subtracting b
> from a+b.  The BlaMka multiplication step replaces the addition step, and
> looks like:
>
>     a = (a + b + 2*(a % 2^32)*(b % 2^32)) % p
>
> The idea was to use something like a latin square defined by a + b + 2*ab,
> but that's now what we have here.  The following _is_ invertible:
>
>     a = (a + b + 2*a*b) % p
>
> By using only the low order words of a and b, we lost information.  Here's
> a simple Python script to prove it:
>
> def BlaMka(a, b, p, mask):
>     return (a + b + 2*((a*b) & mask)) % p
>
> def printSquare(p, mask):
>     for a in range(p):
>         for b in range(p):
>             print "%2d" % BlaMka(a, b, p, mask),
>         print
>
> p = 13
> mask = 3
> printSquare(p, mask)
>
> When run, it produces:
>
>  0  1  2  3  4  5  6  7  8  9 10 11 12
>  1  4  7 10  5  8 11  1  9 12  2  5  0
>  2  7  4  9  6 11  8  0 10  2 12  4  1
>  3 10  9  8  7  1  0 12 11  5  4  3  2
>  4  5  6  7  8  9 10 11 12  0  1  2  3
>  5  8 11  1  9 12  2  5  0  3  6  9  4
>  6 11  8  0 10  2 12  4  1  6  3  8  5
>  7  1  0 12 11  5  4  3  2  9  8  7  6
>  8  9 10 11 12  0  1  2  3  4  5  6  7
>  9 12  2  5  0  3  6  9  4  7 10  0  8
> 10  2 12  4  1  6  3  8  5 10  7 12  9
> 11  5  4  3  2  9  8  7  6  0 12 11 10
> 12  0  1  2  3  4  5  6  7  8  9 10 11
>
> Note that 1 and 5 appear twice in the second column, while 3 and 6 are
> missing.  This 4-bit version of BlaMka is clearly not a quasi-group.
>
> My recomendation: switch back to the reduced Blake2b round, and
> incorporate something similar to MAXFORM that runs on the scalar unit.
> This will ensure we do long leak entropy until a compression step.
> Incorporating multiplication into the Blake2 reduced round was a poor
> solution in any case, IMO, since there is 8X parallelism built into the
> Argon2 block hash.  The whole point of multiplication chain compute-time
> hardening is to force the attacker to run nearly as long as the defender.
> A free factor of 8X speedup is too high.  My top 3 concerns at the moment
> for Argon2 are:
>
> - Entropy loos
> - Too much parallelism
> - Poor compute-time hardening (due to parallelism)
> - Poor in-cache performance (about 3X slower than TwoCats)
> - Somewhat poor GPU resistance.
>
> Using MAXFORM on the scalar unit would solve 4 of my top 5 concerns.  The
> poor in-cache performance is not easily fixed, since Argon2's state busts
> out of the SIMD unit registers and lives in L1 cache.  For low-memory
> in-cache memory hashing, I plan to replace the Argon2 block hash with most
> likely either the one from TwoCats or preferably Yescrypt if it is fast
> enough.
>
> Bill
>

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