Fix poly1305-x86.pl.
Imported from patch attached to https://rt.openssl.org/Ticket/Display.html?id=4439. But with the extra vs $extra typo fixed. The root problem appears to be that lazy_reduction tries to use paddd instead of paddq when they believe the sum will not overflow a u32. In the final call to lazy_reduction, this is not true. svaldez and I attempted to work through the bounds, but the bounds derived from the cited paper imply paddd is always fine. Empirically in a debugger, the bounds are exceeded in the test case. I requested more comments from upstream on the bug. When upstream lands their final fix (hopefully with comments), I will update this code. In the meantime, let's stop carrying known-broken stuff. (vlazy_reduction is probably something similar, but since we don't enable that code, we haven't bothered analyzing it.) Also add the smaller of the two test cases that catch the bug. (The other uses an update pattern which isn't quite what poly1305_test does.) Change-Id: I446ed47c21f10b41a0745de96ab119a3f6fd7801 Reviewed-on: https://boringssl-review.googlesource.com/7544 Reviewed-by: Steven Valdez <svaldez@google.com> Reviewed-by: David Benjamin <davidben@google.com>
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@ -527,6 +527,7 @@ my $base = shift; $base = "esp" if (!defined($base));
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sub lazy_reduction {
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sub lazy_reduction {
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my $extra = shift;
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my $extra = shift;
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my $paddx = defined($extra) ? paddq : paddd;
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################################################################
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################################################################
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# lazy reduction as discussed in "NEON crypto" by D.J. Bernstein
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# lazy reduction as discussed in "NEON crypto" by D.J. Bernstein
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@ -550,12 +551,12 @@ my $extra = shift;
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# possible, because
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# possible, because
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# paddq is "broken"
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# paddq is "broken"
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# on Atom
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# on Atom
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&pand ($D1,$MASK);
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&paddq ($T1,$D2); # h1 -> h2
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&psllq ($T0,2);
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&psllq ($T0,2);
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&paddq ($T1,$D2); # h1 -> h2
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&$paddx ($T0,$D0); # h4 -> h0
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&pand ($D1,$MASK);
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&movdqa ($D2,$T1);
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&movdqa ($D2,$T1);
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&psrlq ($T1,26);
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&psrlq ($T1,26);
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&paddd ($T0,$D0); # h4 -> h0
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&pand ($D2,$MASK);
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&pand ($D2,$MASK);
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&paddd ($T1,$D3); # h2 -> h3
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&paddd ($T1,$D3); # h2 -> h3
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&movdqa ($D0,$T0);
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&movdqa ($D0,$T0);
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@ -1695,18 +1696,18 @@ sub vlazy_reduction {
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&vpsrlq ($T1,$D1,26);
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&vpsrlq ($T1,$D1,26);
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&vpand ($D1,$D1,$MASK);
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&vpand ($D1,$D1,$MASK);
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&vpaddq ($D2,$D2,$T1); # h1 -> h2
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&vpaddq ($D2,$D2,$T1); # h1 -> h2
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&vpaddd ($D0,$D0,$T0);
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&vpaddq ($D0,$D0,$T0);
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&vpsllq ($T0,$T0,2);
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&vpsllq ($T0,$T0,2);
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&vpsrlq ($T1,$D2,26);
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&vpsrlq ($T1,$D2,26);
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&vpand ($D2,$D2,$MASK);
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&vpand ($D2,$D2,$MASK);
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&vpaddd ($D0,$D0,$T0); # h4 -> h0
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&vpaddq ($D0,$D0,$T0); # h4 -> h0
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&vpaddd ($D3,$D3,$T1); # h2 -> h3
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&vpaddq ($D3,$D3,$T1); # h2 -> h3
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&vpsrlq ($T1,$D3,26);
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&vpsrlq ($T1,$D3,26);
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&vpsrlq ($T0,$D0,26);
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&vpsrlq ($T0,$D0,26);
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&vpand ($D0,$D0,$MASK);
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&vpand ($D0,$D0,$MASK);
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&vpand ($D3,$D3,$MASK);
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&vpand ($D3,$D3,$MASK);
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&vpaddd ($D1,$D1,$T0); # h0 -> h1
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&vpaddq ($D1,$D1,$T0); # h0 -> h1
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&vpaddd ($D4,$D4,$T1); # h3 -> h4
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&vpaddq ($D4,$D4,$T1); # h3 -> h4
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}
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}
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&vlazy_reduction();
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&vlazy_reduction();
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@ -134,3 +134,8 @@ MAC = c6e5d1810fd878ac6b844c66cef36a22
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Key = 000102030405060708090a0b0c0d0e0f101112131415161718191a1b1c1d1e1f
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Key = 000102030405060708090a0b0c0d0e0f101112131415161718191a1b1c1d1e1f
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Input = 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Input = 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MAC = f6eaae369c3cb5c05748e8d919178e00
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MAC = f6eaae369c3cb5c05748e8d919178e00
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# Regression test for https://rt.openssl.org/Ticket/Display.html?id=4439
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Key = 2d773be37adb1e4d683bf0075e79c4ee037918535a7f99ccb7040fb5f5f43aea
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Input = 89dab80b7717c1db5db437860a3f70218e93e1b8f461fb677f16f35f6f87e2a91c99bc3a47ace47640cc95c345be5ecca5a3523c35cc01893af0b64a620334270372ec12482d1b1e363561698a578b359803495bb4e2ef1930b17a5190b580f141300df30adbeca28f6427a8bc1a999fd51c554a017d095d8c3e3127daf9f595
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MAC = c85d15ed44c378d6b00e23064c7bcd51
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