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Message-ID: <c1db08c321e36fd9aca61082152cc2a94c90c1f6.camel@gmail.com>
Date: Sat, 12 Sep 2020 00:30:30 +0200
From: owein <yvain29@...il.com>
To: john-dev@...ts.openwall.com
Subject: Re: candidate shuffling, and external mode limitations

On Fri, 2020-09-11 at 22:53 +0200, Solar Designer wrote:
> Hi,
> 
> The "rain mode" discussion went back on GitHub, now on a pull request
> that we're unlikely to ever accept.
> 
> Anyhow, this reminded me of an algorithm I came up with 20+ years
> ago,
> for shuffling DNS query IDs in a glibc patch for Owl
> (glibc-2.1.3-owl-res_randomid.diff, first committed "Wed Jul 5
> 04:27:23
> 2000 UTC (20 years, 2 months ago) by solar" according to our CVSweb).
> 
> I just translated it to JtR external mode as very rough PoC, see
> below.
> Unfortunately, to have it work over a meaningfully large keyspace
> we'd
> need much larger than the (effectively) 31-bit integers, and that
> would
> mean having to implement big integers right in an external mode, so
> quite cumbersome.  If we add big integer support to external mode VM,
> it
> could actually become quite clean and fast (even the VM overhead
> would
> be relatively less, as it'd occur once per a larger and naturally
> slower
> operation), but I doubt we have enough use cases for big integers in
> external modes to justify that, or do we?
> 
> [List.External:Shuffle]
> int a, b, n, base, div;
> 
> void init()
> {
> 	a = b = 1;
> 	n = 0;
> 	div = 7777; // Keyspace size + 1
> 	base = div + 3;
> 	base += 1234; // Any even number to choose shuffling sequence
> }
> 
> void generate()
> {
> 	if (n >= div - 1) {
> 		word = 0;
> 		return;
> 	}
> 
> 	if (n && b <= a) {
> 		while (1) {
> 			b = ++a;
> 			while (1) {
> 				b *= base;
> 				b %= div;
> 				if (b <= a)
> 					break;
> 			}
> 			if (a == b)
> 				break;
> 		}
> 	}
> 
> 	b *= base;
> 	b %= div;
> 	n++;
> 
> 	int i, v;
> 	i = 0; v = b;
> 	while (1) {
> 		word[i++] = '0' + v % 10;
> 		if (!(v /= 10))
> 			break;
> 	}
> 	word[i] = 0;
> }
> 
> This outputs (reversed) decimal numbers, but mapping onto any other
> charset is easy to implement (pointless to do without solving the big
> integers problem first).
> 
> A (performance) drawback is that the conversion from a (big) integer
> to
> a string in the target charset would have to be fully re-done for
> each
> candidate generated - that's a side-effect of good shuffling.  (For
> some
> other modes, we're able to alter only some characters while leaving
> the
> rest intact.)  Maybe not-so-good shuffling like what I understand
> "rain
> mode" attempts to achieve is sufficient, and would result in higher
> performance.  This only matters when attacking fast hashes.
> 
> Testing:
> 
> $ ./john --stdout -external=shuffle | sort -u | wc -l
> Press 'q' or Ctrl-C to abort, almost any other key for status
> 7776p 0:00:00:00 77760p/s 4141
> 7776
> 
> Alexander

Hi, finally what I had found out when working on zhou is that a
modifier used inside an iterative procedure and cut off with a modulo
must be set diferently according to the used modulo.
In my case I was
trying to work on the character set, which is not enough, but lately (a
few days ago) I realized that I needed to work on the index of the
state, and I find out again that rule to be true, and to be more
precise, we have to check if the value is a multiple of 10, of 2, or is
odd.
It is easy to think of only odd and even numbers and to stay stuck
in a sequence of testing where nothing seems to work. I think that my
latest commit that is only working on the index can make you realize
the power of this technique, I am going to push a version that uses the
same technique to work on the picking of the characters also, which is
the initial technique that I would call rain, but not enough
'deserialisation' takes place. Using the trick on the index also makes
the method valid, because the sequence is truly exploded then.
Regards,
Yvain.

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