Wiki confirms that your evangelism message was well heard, check this:

• In 2005, cryptanalysts found attacks on SHA-1 suggesting that the algorithm might not be secure enough for ongoing use. NIST required many applications in federal agencies to move to SHA-2 after 2010 because of the weakness. Although no successful attacks have yet been reported on SHA-2, it is algorithmically similar to SHA-1. In 2012, following a long-running competition, NIST selected an additional algorithm, Keccak, for standardization under SHA-3.

• In November 2013 Microsoft announced their deprecation policy on SHA-1 according to which Windows will stop accepting SHA-1 certificates in SSL by 2017.

• In September 2014 Google announced their deprecation policy on SHA-1 according to which Chrome will stop accepting SHA-1 certificates in SSL in a phased way by 2017. Mozilla is also planning to stop accepting SHA-1-based SSL certificates by 2017

Schneier, you're awesome and I will be learning much from you when my Amazon order of 《Applied Cryptography: Protocols, Algorithms and Source Code in C》 arrives in 6 weeks, I don't even know why it takes that longer to ship it to Beijing..

Would detecting collisions benefit from next to using a specific length plain-text ( which never changes ) also using "random as in using Pi to an equal length of the plaintext as plaintext " or "controlled pseud-random sequences as plaintext" ?

My guess is this may "reveal" the plausibility of collisions by comparing sufficiënt sets of data and filtering out any "patterns" which could not but be explained as by the algorithm(s) themselve.

]]>please prove the probability of Meet-in-the-middle attack is p\sim 1- \{1}{e^{\frac{q_1 q_2}{2^{160}}}?

]]>Again an easy programming fix.

]]>Apparently the unstated assumption is that everyone is using English. The 2nd unstated assumption is that the first time you get clear test that makes sense, you've successfully decoded the string. Save I get a decode of NICE DAY when I was trying to decode the input string of DENVER BRONCOS. How do I know that NICE DAY isn't the clear text input?

Are we getting so technically focused that common sense has been lost?

Decrypting anything is a real beast of a problem. Even if I had a bank of super computers with hugh amounts of cpu power, actually decrypting anything encrypted with any thing that does not simply repeat the same letter for the same input is not a trivial pursuit.

Just to run a decrypting program thru a big bank of super computers or their equivalent in parallel desk top computers would cost about $10,000 a hour and it could take days, months or years to get something you think is clear text.

By that time, the information is probably stale, ie, no longer useful. Battlefield conditions, for example, aren't much use two weeks later, to anyone. How about your competitor's sales reports 5 years ago? Is that worth a million dollars to get?

So let's put a does of common sense into all of this discussion. Or perhaps the information should be entitled: FOR CRYPTO GEEKS ONLY!

]]>Am I correct that it will take 9 times 2**80 to find a comparable string that equals the same hash?

If not, why not?

If I am correct then all a programmer has to do is to repeat the hasting for multiple times to gain the security desired, then whats the big problem?

For use in passwords, where the user enters a plaintext pass, I store the hash of the input and do the same hashing when the user signs in, and compare it against the hashed value in the database.

(a common approach).

Since the program does the hashing, it is no burden to the user, other than a little more time to wait for confirmation.

If the above is true, what is the big concern about the supposed weakness of SHA-1?

The solution appears to be trivial to implement to whatever level of security one desires, ie, just do it multiple times.

What am I missing?

]]>There are several widely published and reviewed cryptographic hash functions which have no known effective attacks. Of these, the oldest and most thoroughly studied is probably RIPEMD-160, which was published 13 years ago and has been adopted as a standard by several international organisations. Another good example in this class is Whirlpool, which has a much larger output than RIPEMD-160 and has also been studied for a fair while now, although not as long.

There are many more which are currently unbroken, but for which there may be a little concern about their long term survival. This includes Tiger and the whole SHA family later than SHA-1. I would be happy to use any of these at present but would be wary of embedding them into a long-lived system that was difficult to upgrade.

]]>]]>

Anyway, NIST is currently running a public competition.

Take a look at NIST's website.

A.

]]>Well, something happened...

I think that a NIST Call for a brand new Hash Algorithm is indeed "something"...

Take a look at

http://www.nist.gov/public_affairs/techbeat/tb2007_1108.htm#sha and http://www.nist.gov/hash-competition.

Best regards,

Armando aka ArMyZ

If there will be developed advanced algorithms that break SHA1 in 2^50 calculations these algorithms will not give all 2^80 solutions but only one or a few.

If applying such an algorithm to equation 1 and 2 of the simple case described above this needs 2^51 calculations.

The combination of solutions used to solve equation 3 has a chance of 1 / 2^80 of being correct.

If a very advanced algorithm (feeded with a parameter to obtain a different solution) only requires 1 calculation to result in a solution for equation 1, still all 2^80 * 2^80 possibilities need to be tried to find the correct solution for equation 3.

You don't understand the idea of my proposal. I'll explain:

This is a situation of coupled equations.

The important thing is not that simple SHA1s are transmitted but that an RSA encrypted version (using private key) of the SHA1s is transmitted: digital signatures.

Therefore the SHA1 values cannot simply be replaced by other values.

The original message is:

M1, RSAENC(SHA1(M1))

C1, RSAENC(SHA1(C1))

RSAENC(SHA1(M1+C1))

To produce a forged message with the same digital signature:

M2, RSAENC(SHA1(M1))

C2, RSAENC(SHA1(C1))

RSAENC(SHA1(M1+C1))

To achieve this the following system of coupled equations need to be solved:

1) SHA1(M1)=SHA1(M2)

2) SHA1(C1)=SHA1(C2)

3) SHA1(M1+C1)=SHA1(M2+C2)

If equation 1 can be solved the same effort or more is needed to solve equation 2.

The difficulty is in the third equation that couples the equations 1 and 2.

If finding collisions for equation 1 and 2 is easy it is still difficult to solve equation 3. Assume the number of possible collisions equal to 2^80 for a 160 bits SHA1. To solve equation 3 all possible solutions of equation 1 (2^80) and equation 2 (also 2^80) need to be combined and tried out. That is the same amount of possibilities ( 2^80 * 2^80 = 2^160 ) as a brute force attack should use to solve equation 1.

To make it even more difficult additional random info can be added:

M1, RSAENC(SHA1(M1))

C1, RSAENC(SHA1(C1))

D1, RSAENC(SHA1(D1))

RSAENC(SHA1(M1+C1))

RSAENC(SHA1(M1+C2))

RSAENC(SHA1(C1+C2))

To make a forged message the following number of equations needs to be solved:

1) SHA1(M1)=SHA1(M2)

2) SHA1(C1)=SHA1(C2)

3) SHA1(D1)=SHA1(D2)

4) SHA1(M1+C1)=SHA1(M2+C2)

5) SHA1(M1+D1)=SHA1(M2+D2)

6) SHA1(C1+D1)=SHA1(C2+D2)

The number of possibilities that need to be tried to solve these equations is:

2^80 * 2^80 * 2^80 = 2^240.

Wadim, Please supply me a proof or counter example that the above reasoning is incorrect.

M1, C1, SHA1(M1), SHA1(C1), SHA1(M1+C1)

Try to crack this by making a forged "valid" message like:

M2, C2, SHA1(M2), SHA1(C2), SHA1(M2+C2)

This is the same as solving a problem (e) for M and solving problem (f) for C, but at the same time

try to make the SHA1 of the sum of M+C in the forged situation equal to the SHA1 of the original M+C.

The last SHA1 causes that the common results of the full result set of the first, second and third problem

will be a very meager collection of possibilities, although a brute force attack might result in a solution.

If such a combination of criteria makes it difficult to find a solution, the combination can be expanded with more random data strings and SHA1's and more SHA1-ed additions.

I'm not a cryptographer but does this make the forging attempts much more difficult?

]]>Now if you take a validated XML document and an XML Signature (according to W3C specs) from all I know this is to ignore extra whitespace and obviously any gibberish not obeying the XML structure will render the document invalid.

Does this now justify the conclusion that highly structured content such as validated XML is more robust against this kind of collision attacks?

]]>M0

0 b2dff369 67452301 7bf36ae2 98badcfe 10325476

1 63c4b1a2 b2dff369 59d148c0 7bf36ae2 98badcfe

2 21c2b110 63c4b1a2 6cb7fcda 59d148c0 7bf36ae2

3 d526702c 21c2b110 98f12c68 6cb7fcda 59d148c0

4 ac4ec847 d526702c 0870ac44 98f12c68 6cb7fcda

5 c6d362df ac4ec847 35499c0b 0870ac44 98f12c68

6 fedf5182 c6d362df eb13b211 35499c0b 0870ac44

7 9a011586 fedf5182 f1b4d8b7 eb13b211 35499c0b

8 14c400ae 9a011586 bfb7d460 f1b4d8b7 eb13b211

9 7dfbe037 14c400ae a6804561 bfb7d460 f1b4d8b7

10 c16f7ec0 7dfbe037 8531002b a6804561 bfb7d460

11 726e4ae7 c16f7ec0 df7ef80d 8531002b a6804561

12 c1a839e2 726e4ae7 305bdfb0 df7ef80d 8531002b

13 e54d04c6 c1a839e2 dc9b92b9 305bdfb0 df7ef80d

14 153ba8f4 e54d04c6 b06a0e78 dc9b92b9 305bdfb0

15 c0d64826 153ba8f4 b9534131 b06a0e78 dc9b92b9

16 147d4058 c0d64826 054eea3d b9534131 b06a0e78

17 e461e220 147d4058 b0359209 054eea3d b9534131

18 ce1df558 e461e220 051f5016 b0359209 054eea3d

19 5e5b3fb3 ce1df558 39187888 051f5016 b0359209

20 4b677212 5e5b3fb3 33877d56 39187888 051f5016

21 4bf71507 4b677212 d796cfec 33877d56 39187888

22 49e94c70 4bf71507 92d9dc84 d796cfec 33877d56

23 dcf8b25b 49e94c70 d2fdc541 92d9dc84 d796cfec

24 93d5228f dcf8b25b 127a531c d2fdc541 92d9dc84

25 6125fb2b 93d5228f f73e2c96 127a531c d2fdc541

26 8f908be1 6125fb2b e4f548a3 f73e2c96 127a531c

27 4a77363c 8f908be1 d8497eca e4f548a3 f73e2c96

28 ff239bb0 4a77363c 63e422f8 d8497eca e4f548a3

29 ef956859 ff239bb0 129dcd8f 63e422f8 d8497eca

30 54ae55d3 ef956859 3fc8e6ec 129dcd8f 63e422f8

31 a621f9ba 54ae55d3 7be55a16 3fc8e6ec 129dcd8f

32 2f1abebf a621f9ba d52b9574 7be55a16 3fc8e6ec

33 80e6475c 2f1abebf a9887e6e d52b9574 7be55a16

34 d0a4b9ef 80e6475c cbc6afaf a9887e6e d52b9574

35 534c5fb3 d0a4b9ef 203991d7 cbc6afaf a9887e6e

36 99d06606 534c5fb3 f4292e7b 203991d7 cbc6afaf

37 8dd54d7c 99d06606 d4d317ec f4292e7b 203991d7

38 8a19d0a8 8dd54d7c a6741981 d4d317ec f4292e7b

39 a6faa511 8a19d0a8 2375535f a6741981 d4d317ec

40 a5b11b6d a6faa511 2286742a 2375535f a6741981

41 abee3f71 a5b11b6d 69bea944 2286742a 2375535f

42 f37f0648 abee3f71 696c46db 69bea944 2286742a

43 98bcd7e3 f37f0648 6afb8fdc 696c46db 69bea944

44 336146e9 98bcd7e3 3cdfc192 6afb8fdc 696c46db

45 bbb96c36 336146e9 e62f35f8 3cdfc192 6afb8fdc

46 63fee1b4 bbb96c36 4cd851ba e62f35f8 3cdfc192

47 8c97f438 63fee1b4 aeee5b0d 4cd851ba e62f35f8

48 8fe05a9d 8c97f438 18ffb86d aeee5b0d 4cd851ba

49 1ee99f6f 8fe05a9d 2325fd0e 18ffb86d aeee5b0d

50 dc3c9013 1ee99f6f 63f816a7 2325fd0e 18ffb86d

51 8bd58e52 dc3c9013 c7ba67db 63f816a7 2325fd0e

52 9f10dbc8 8bd58e52 f70f2404 c7ba67db 63f816a7

53 13ef5790 9f10dbc8 a2f56394 f70f2404 c7ba67db

54 0553cd66 13ef5790 27c436f2 a2f56394 f70f2404

55 1d628100 0553cd66 04fbd5e4 27c436f2 a2f56394

56 c69503f9 1d628100 8154f359 04fbd5e4 27c436f2

57 3023c438 c69503f9 0758a040 8154f359 04fbd5e4

58 f76cb30f 3023c438 71a540fe 0758a040 8154f359

59 c16ec0d8 f76cb30f 0c08f10e 71a540fe 0758a040

60 8b3ad4e3 c16ec0d8 fddb2cc3 0c08f10e 71a540fe

61 ad71f311 8b3ad4e3 305bb036 fddb2cc3 0c08f10e

62 6b3a54d9 ad71f311 e2ceb538 305bb036 fddb2cc3

63 f712c417 6b3a54d9 6b5c7cc4 e2ceb538 305bb036

64 ecdb21d2 f712c417 5ace9536 6b5c7cc4 e2ceb538

65 8d795749 ecdb21d2 fdc4b105 5ace9536 6b5c7cc4

66 4f79f3b1 8d795749 bb36c874 fdc4b105 5ace9536

67 c07ce060 4f79f3b1 635e55d2 bb36c874 fdc4b105

68 ca0f4e43 c07ce060 53de7cec 635e55d2 bb36c874

69 a8a8fbb5 ca0f4e43 301f3818 53de7cec 635e55d2

70 b59bf4b5 a8a8fbb5 f283d390 301f3818 53de7cec

71 26e22807 b59bf4b5 6a2a3eed f283d390 301f3818

72 d5cfa569 26e22807 6d66fd2d 6a2a3eed f283d390

73 a481a976 d5cfa569 c9b88a01 6d66fd2d 6a2a3eed

74 7c364bfe a481a976 7573e95a c9b88a01 6d66fd2d

75 cb5f624b 7c364bfe a9206a5d 7573e95a c9b88a01

76 406ad09e cb5f624b 9f0d92ff a9206a5d 7573e95a

77 9c1f2847 406ad09e f2d7d892 9f0d92ff a9206a5d

78 425dc5e2 9c1f2847 901ab427 f2d7d892 9f0d92ff

79 4da55da7 425dc5e2 e707ca11 901ab427 f2d7d892

b4ea80a8 322b716b 7fc2a70f a04d089d b6aaba82

M0'

0 d2dff369 67452301 7bf36ae2 98badcfe 10325476

1 83c4b1b4 d2dff369 59d148c0 7bf36ae2 98badcfe

2 21c2b311 83c4b1b4 74b7fcda 59d148c0 7bf36ae2

3 d526b01a 21c2b311 20f12c6d 74b7fcda 59d148c0

4 b456c646 d526b01a 4870acc4 20f12c6d 74b7fcda

5 c7d3a2df b456c646 b549ac06 4870acc4 20f12c6d

6 fecf520b c7d3a2df ad15b191 b549ac06 4870acc4

7 99ff1586 fecf520b f1f4e8b7 ad15b191 b549ac06

8 94c3ffac 99ff1586 ffb3d482 f1f4e8b7 ad15b191

9 7dfbe037 94c3ffac a67fc561 ffb3d482 f1f4e8b7

10 416f7fc2 7dfbe037 2530ffeb a67fc561 ffb3d482

11 726e4ae7 416f7fc2 df7ef80d 2530ffeb a67fc561

12 c1a839e0 726e4ae7 905bdff0 df7ef80d 2530ffeb

13 e54d04c6 c1a839e0 dc9b92b9 905bdff0 df7ef80d

14 153ba8f5 e54d04c6 306a0e78 dc9b92b9 905bdff0

15 c0d64826 153ba8f5 b9534131 306a0e78 dc9b92b9

16 147d405a c0d64826 454eea3d b9534131 306a0e78

17 e461e222 147d405a b0359209 454eea3d b9534131

18 ce1df559 e461e222 851f5016 b0359209 454eea3d

19 5e5b3fb3 ce1df559 b9187888 851f5016 b0359209

20 4b677210 5e5b3fb3 73877d56 b9187888 851f5016

21 4bf71505 4b677210 d796cfec 73877d56 b9187888

22 49e94c71 4bf71505 12d9dc84 d796cfec 73877d56

23 dcf8b25b 49e94c71 52fdc541 12d9dc84 d796cfec

24 93d5228f dcf8b25b 527a531c 52fdc541 12d9dc84

25 6125fb29 93d5228f f73e2c96 527a531c 52fdc541

26 8f908be0 6125fb29 e4f548a3 f73e2c96 527a531c

27 4a77363c 8f908be0 58497eca e4f548a3 f73e2c96

28 ff239bb2 4a77363c 23e422f8 58497eca e4f548a3

29 ef95685b ff239bb2 129dcd8f 23e422f8 58497eca

30 54ae55d3 ef95685b bfc8e6ec 129dcd8f 23e422f8

31 a621f9ba 54ae55d3 fbe55a16 bfc8e6ec 129dcd8f

32 2f1abebd a621f9ba d52b9574 fbe55a16 bfc8e6ec

33 80e6475c 2f1abebd a9887e6e d52b9574 fbe55a16

34 d0a4b9ef 80e6475c 4bc6afaf a9887e6e d52b9574

35 534c5fb3 d0a4b9ef 203991d7 4bc6afaf a9887e6e

36 99d06604 534c5fb3 f4292e7b 203991d7 4bc6afaf

37 8dd54d7c 99d06604 d4d317ec f4292e7b 203991d7

38 8a19d0aa 8dd54d7c 26741981 d4d317ec f4292e7b

39 a6faa511 8a19d0aa 2375535f 26741981 d4d317ec

40 a5b11b6f a6faa511 a286742a 2375535f 26741981

41 abee3f71 a5b11b6f 69bea944 a286742a 2375535f

42 f37f064a abee3f71 e96c46db 69bea944 a286742a

43 98bcd7e3 f37f064a 6afb8fdc e96c46db 69bea944

44 336146e9 98bcd7e3 bcdfc192 6afb8fdc e96c46db

45 bbb96c36 336146e9 e62f35f8 bcdfc192 6afb8fdc

46 63fee1b4 bbb96c36 4cd851ba e62f35f8 bcdfc192

47 8c97f438 63fee1b4 aeee5b0d 4cd851ba e62f35f8

48 8fe05a9d 8c97f438 18ffb86d aeee5b0d 4cd851ba

49 1ee99f6f 8fe05a9d 2325fd0e 18ffb86d aeee5b0d

50 dc3c9013 1ee99f6f 63f816a7 2325fd0e 18ffb86d

51 8bd58e52 dc3c9013 c7ba67db 63f816a7 2325fd0e

52 9f10dbc8 8bd58e52 f70f2404 c7ba67db 63f816a7

53 13ef5790 9f10dbc8 a2f56394 f70f2404 c7ba67db

54 0553cd66 13ef5790 27c436f2 a2f56394 f70f2404

55 1d628100 0553cd66 04fbd5e4 27c436f2 a2f56394

56 c69503f9 1d628100 8154f359 04fbd5e4 27c436f2

57 3023c438 c69503f9 0758a040 8154f359 04fbd5e4

58 f76cb313 3023c438 71a540fe 0758a040 8154f359

59 c16ec1d8 f76cb313 0c08f10e 71a540fe 0758a040

60 8b3af4c3 c16ec1d8 fddb2cc4 0c08f10e 71a540fe

61 ad75ee15 8b3af4c3 305bb076 fddb2cc4 0c08f10e

62 6bb9d4b5 ad75ee15 e2cebd30 305bb076 fddb2cc4

63 06feacd5 6bb9d4b5 6b5d7b85 e2cebd30 305bb076

64 e9d9ae9d 06feacd5 5aee752d 6b5d7b85 e2cebd30

65 9e186b3b e9d9ae9d 41bfab35 5aee752d 6b5d7b85

66 0a14db72 9e186b3b 7a766ba7 41bfab35 5aee752d

67 ee4036c4 0a14db72 e7861ace 7a766ba7 41bfab35

68 c74854f8 ee4036c4 828536dc e7861ace 7a766ba7

69 a94fc71d c74854f8 3b900db1 828536dc e7861ace

70 232c8bd9 a94fc71d 31d2153e 3b900db1 828536dc

71 40759dc0 232c8bd9 6a53f1c7 31d2153e 3b900db1

72 5f2a875e 40759dc0 48cb22f6 6a53f1c7 31d2153e

73 506a906f 5f2a875e 101d6770 48cb22f6 6a53f1c7

74 9067de61 506a906f 97caa1d7 101d6770 48cb22f6

75 ec68629c 9067de61 d41aa41b 97caa1d7 101d6770

76 db41cbf7 ec68629c 6419f798 d41aa41b 97caa1d7

77 784e0231 db41cbf7 3b1a18a7 6419f798 d41aa41b

78 49c4c137 784e0231 f6d072fd 3b1a18a7 6419f798

79 b6435ac0 49c4c137 5e13808c f6d072fd 3b1a18a7

1d887dc1 39926cc0 f6ce5d8a 0702c773 feecfa97

NIST ASCII "abc" Test Case

0 0116fc33 67452301 7bf36ae2 98badcfe 10325476

1 8990536d 0116fc33 59d148c0 7bf36ae2 98badcfe

2 a1390f08 8990536d c045bf0c 59d148c0 7bf36ae2

3 cdd8e11b a1390f08 626414db c045bf0c 59d148c0

4 cfd499de cdd8e11b 284e43c2 626414db c045bf0c

5 3fc7ca40 cfd499de f3763846 284e43c2 626414db

6 993e30c1 3fc7ca40 b3f52677 f3763846 284e43c2

7 9e8c07d4 993e30c1 0ff1f290 b3f52677 f3763846

8 4b6ae328 9e8c07d4 664f8c30 0ff1f290 b3f52677

9 8351f929 4b6ae328 27a301f5 664f8c30 0ff1f290

10 fbda9e89 8351f929 12dab8ca 27a301f5 664f8c30

11 63188fe4 fbda9e89 60d47e4a 12dab8ca 27a301f5

12 4607b664 63188fe4 7ef6a7a2 60d47e4a 12dab8ca

13 9128f695 4607b664 18c623f9 7ef6a7a2 60d47e4a

14 196bee77 9128f695 1181ed99 18c623f9 7ef6a7a2

15 20bdd62f 196bee77 644a3da5 1181ed99 18c623f9

16 4e925823 20bdd62f c65afb9d 644a3da5 1181ed99

17 82aa6728 4e925823 c82f758b c65afb9d 644a3da5

18 dc64901d 82aa6728 d3a49608 c82f758b c65afb9d

19 fd9e1d7d dc64901d 20aa99ca d3a49608 c82f758b

20 1a37b0ca fd9e1d7d 77192407 20aa99ca d3a49608

21 33a23bfc 1a37b0ca 7f67875f 77192407 20aa99ca

22 21283486 33a23bfc 868dec32 7f67875f 77192407

23 d541f12d 21283486 0ce88eff 868dec32 7f67875f

24 c7567dc6 d541f12d 884a0d21 0ce88eff 868dec32

25 48413ba4 c7567dc6 75507c4b 884a0d21 0ce88eff

26 be35fbd5 48413ba4 b1d59f71 75507c4b 884a0d21

27 4aa84d97 be35fbd5 12104ee9 b1d59f71 75507c4b

28 8370b52e 4aa84d97 6f8d7ef5 12104ee9 b1d59f71

29 c5fbaf5d 8370b52e d2aa1365 6f8d7ef5 12104ee9

30 1267b407 c5fbaf5d a0dc2d4b d2aa1365 6f8d7ef5

31 3b845d33 1267b407 717eebd7 a0dc2d4b d2aa1365

32 046faa0a 3b845d33 c499ed01 717eebd7 a0dc2d4b

33 2c0ebc11 046faa0a cee1174c c499ed01 717eebd7

34 21796ad4 2c0ebc11 811bea82 cee1174c c499ed01

35 dcbbb0cb 21796ad4 4b03af04 811bea82 cee1174c

36 0f511fd8 dcbbb0cb 085e5ab5 4b03af04 811bea82

37 dc63973f 0f511fd8 f72eec32 085e5ab5 4b03af04

38 4c986405 dc63973f 03d447f6 f72eec32 085e5ab5

39 32de1cba 4c986405 f718e5cf 03d447f6 f72eec32

40 fc87dedf 32de1cba 53261901 f718e5cf 03d447f6

41 970a0d5c fc87dedf 8cb7872e 53261901 f718e5cf

42 7f193dc5 970a0d5c ff21f7b7 8cb7872e 53261901

43 ee1b1aaf 7f193dc5 25c28357 ff21f7b7 8cb7872e

44 40f28e09 ee1b1aaf 5fc64f71 25c28357 ff21f7b7

45 1c51e1f2 40f28e09 fb86c6ab 5fc64f71 25c28357

46 a01b846c 1c51e1f2 503ca382 fb86c6ab 5fc64f71

47 bead02ca a01b846c 8714787c 503ca382 fb86c6ab

48 baf39337 bead02ca 2806e11b 8714787c 503ca382

49 120731c5 baf39337 afab40b2 2806e11b 8714787c

50 641db2ce 120731c5 eebce4cd afab40b2 2806e11b

51 3847ad66 641db2ce 4481cc71 eebce4cd afab40b2

52 e490436d 3847ad66 99076cb3 4481cc71 eebce4cd

53 27e9f1d8 e490436d 8e11eb59 99076cb3 4481cc71

54 7b71f76d 27e9f1d8 792410db 8e11eb59 99076cb3

55 5e6456af 7b71f76d 09fa7c76 792410db 8e11eb59

56 c846093f 5e6456af 5edc7ddb 09fa7c76 792410db

57 d262ff50 c846093f d79915ab 5edc7ddb 09fa7c76

58 09d785fd d262ff50 f211824f d79915ab 5edc7ddb

59 3f52de5a 09d785fd 3498bfd4 f211824f d79915ab

60 d756c147 3f52de5a 4275e17f 3498bfd4 f211824f

61 548c9cb2 d756c147 8fd4b796 4275e17f 3498bfd4

62 b66c020b 548c9cb2 f5d5b051 8fd4b796 4275e17f

63 6b61c9e1 b66c020b 9523272c f5d5b051 8fd4b796

64 19dfa7ac 6b61c9e1 ed9b0082 9523272c f5d5b051

65 101655f9 19dfa7ac 5ad87278 ed9b0082 9523272c

66 0c3df2b4 101655f9 0677e9eb 5ad87278 ed9b0082

67 78dd4d2b 0c3df2b4 4405957e 0677e9eb 5ad87278

68 497093c0 78dd4d2b 030f7cad 4405957e 0677e9eb

69 3f2588c2 497093c0 de37534a 030f7cad 4405957e

70 c199f8c7 3f2588c2 125c24f0 de37534a 030f7cad

71 39859de7 c199f8c7 8fc96230 125c24f0 de37534a

72 edb42de4 39859de7 f0667e31 8fc96230 125c24f0

73 11793f6f edb42de4 ce616779 f0667e31 8fc96230

74 5ee76897 11793f6f 3b6d0b79 ce616779 f0667e31

75 63f7dab7 5ee76897 c45e4fdb 3b6d0b79 ce616779

76 a079b7d9 63f7dab7 d7b9da25 c45e4fdb 3b6d0b79

77 860d21cc a079b7d9 d8fdf6ad d7b9da25 c45e4fdb

78 5738d5e1 860d21cc 681e6df6 d8fdf6ad d7b9da25

79 42541b35 5738d5e1 21834873 681e6df6 d8fdf6ad

a9993e36 4706816a ba3e2571 7850c26c 9cd0d89d

Seems like everybody is waiting for somebody else to do the work.. well, I guess curiosity kills the cat..

Here is what I found with the messages. The 58th-step hashes do match for the two messages, but the number I got is different from the 'h1' in the paper. I don't know what kind of SHA-1 was implemented for the paper, but I'm quite sure my SHA-1 module is fine. The NIST test case of ASCII "abc" was put through the module first and produced correct results.

See the numbers below.

M0

0 67452301 efcdab89 98badcfe 10325476 c3d2e1f0

1 b2dff369 67452301 7bf36ae2 98badcfe 10325476

2 63c4b1a2 b2dff369 59d148c0 7bf36ae2 98badcfe

3 21c2b110 63c4b1a2 6cb7fcda 59d148c0 7bf36ae2

4 d526702c 21c2b110 98f12c68 6cb7fcda 59d148c0

5 ac4ec847 d526702c 0870ac44 98f12c68 6cb7fcda

6 c6d362df ac4ec847 35499c0b 0870ac44 98f12c68

7 fedf5182 c6d362df eb13b211 35499c0b 0870ac44

8 9a011586 fedf5182 f1b4d8b7 eb13b211 35499c0b

9 14c400ae 9a011586 bfb7d460 f1b4d8b7 eb13b211

10 7dfbe037 14c400ae a6804561 bfb7d460 f1b4d8b7

11 c16f7ec0 7dfbe037 8531002b a6804561 bfb7d460

12 726e4ae7 c16f7ec0 df7ef80d 8531002b a6804561

13 c1a839e2 726e4ae7 305bdfb0 df7ef80d 8531002b

14 e54d04c6 c1a839e2 dc9b92b9 305bdfb0 df7ef80d

15 153ba8f4 e54d04c6 b06a0e78 dc9b92b9 305bdfb0

16 c0d64826 153ba8f4 b9534131 b06a0e78 dc9b92b9

17 147d4058 c0d64826 054eea3d b9534131 b06a0e78

18 e461e220 147d4058 b0359209 054eea3d b9534131

19 ce1df558 e461e220 051f5016 b0359209 054eea3d

20 5e5b3fb3 ce1df558 39187888 051f5016 b0359209

21 4b677212 5e5b3fb3 33877d56 39187888 051f5016

22 4bf71507 4b677212 d796cfec 33877d56 39187888

23 49e94c70 4bf71507 92d9dc84 d796cfec 33877d56

24 dcf8b25b 49e94c70 d2fdc541 92d9dc84 d796cfec

25 93d5228f dcf8b25b 127a531c d2fdc541 92d9dc84

26 6125fb2b 93d5228f f73e2c96 127a531c d2fdc541

27 8f908be1 6125fb2b e4f548a3 f73e2c96 127a531c

28 4a77363c 8f908be1 d8497eca e4f548a3 f73e2c96

29 ff239bb0 4a77363c 63e422f8 d8497eca e4f548a3

30 ef956859 ff239bb0 129dcd8f 63e422f8 d8497eca

31 54ae55d3 ef956859 3fc8e6ec 129dcd8f 63e422f8

32 a621f9ba 54ae55d3 7be55a16 3fc8e6ec 129dcd8f

33 2f1abebf a621f9ba d52b9574 7be55a16 3fc8e6ec

34 80e6475c 2f1abebf a9887e6e d52b9574 7be55a16

35 d0a4b9ef 80e6475c cbc6afaf a9887e6e d52b9574

36 534c5fb3 d0a4b9ef 203991d7 cbc6afaf a9887e6e

37 99d06606 534c5fb3 f4292e7b 203991d7 cbc6afaf

38 8dd54d7c 99d06606 d4d317ec f4292e7b 203991d7

39 8a19d0a8 8dd54d7c a6741981 d4d317ec f4292e7b

40 a6faa511 8a19d0a8 2375535f a6741981 d4d317ec

41 a5b11b6d a6faa511 2286742a 2375535f a6741981

42 abee3f71 a5b11b6d 69bea944 2286742a 2375535f

43 f37f0648 abee3f71 696c46db 69bea944 2286742a

44 98bcd7e3 f37f0648 6afb8fdc 696c46db 69bea944

45 336146e9 98bcd7e3 3cdfc192 6afb8fdc 696c46db

46 bbb96c36 336146e9 e62f35f8 3cdfc192 6afb8fdc

47 63fee1b4 bbb96c36 4cd851ba e62f35f8 3cdfc192

48 8c97f438 63fee1b4 aeee5b0d 4cd851ba e62f35f8

49 8fe05a9d 8c97f438 18ffb86d aeee5b0d 4cd851ba

50 1ee99f6f 8fe05a9d 2325fd0e 18ffb86d aeee5b0d

51 dc3c9013 1ee99f6f 63f816a7 2325fd0e 18ffb86d

52 8bd58e52 dc3c9013 c7ba67db 63f816a7 2325fd0e

53 9f10dbc8 8bd58e52 f70f2404 c7ba67db 63f816a7

54 13ef5790 9f10dbc8 a2f56394 f70f2404 c7ba67db

55 0553cd66 13ef5790 27c436f2 a2f56394 f70f2404

56 1d628100 0553cd66 04fbd5e4 27c436f2 a2f56394

57 c69503f9 1d628100 8154f359 04fbd5e4 27c436f2

58 3023c438 c69503f9 0758a040 8154f359 04fbd5e4

59 f76cb30f 3023c438 71a540fe 0758a040 8154f359

60 c16ec0d8 f76cb30f 0c08f10e 71a540fe 0758a040

61 8b3ad4e3 c16ec0d8 fddb2cc3 0c08f10e 71a540fe

62 ad71f311 8b3ad4e3 305bb036 fddb2cc3 0c08f10e

63 6b3a54d9 ad71f311 e2ceb538 305bb036 fddb2cc3

64 f712c417 6b3a54d9 6b5c7cc4 e2ceb538 305bb036

65 ecdb21d2 f712c417 5ace9536 6b5c7cc4 e2ceb538

66 8d795749 ecdb21d2 fdc4b105 5ace9536 6b5c7cc4

67 4f79f3b1 8d795749 bb36c874 fdc4b105 5ace9536

68 c07ce060 4f79f3b1 635e55d2 bb36c874 fdc4b105

69 ca0f4e43 c07ce060 53de7cec 635e55d2 bb36c874

70 a8a8fbb5 ca0f4e43 301f3818 53de7cec 635e55d2

71 b59bf4b5 a8a8fbb5 f283d390 301f3818 53de7cec

72 26e22807 b59bf4b5 6a2a3eed f283d390 301f3818

73 d5cfa569 26e22807 6d66fd2d 6a2a3eed f283d390

74 a481a976 d5cfa569 c9b88a01 6d66fd2d 6a2a3eed

75 7c364bfe a481a976 7573e95a c9b88a01 6d66fd2d

76 cb5f624b 7c364bfe a9206a5d 7573e95a c9b88a01

77 406ad09e cb5f624b 9f0d92ff a9206a5d 7573e95a

78 9c1f2847 406ad09e f2d7d892 9f0d92ff a9206a5d

79 425dc5e2 9c1f2847 901ab427 f2d7d892 9f0d92ff

b4ea80a8 322b716b 7fc2a70f a04d089d b6aaba82

M0'

0 67452301 efcdab89 98badcfe 10325476 c3d2e1f0

1 d2dff369 67452301 7bf36ae2 98badcfe 10325476

2 83c4b1b4 d2dff369 59d148c0 7bf36ae2 98badcfe

3 21c2b311 83c4b1b4 74b7fcda 59d148c0 7bf36ae2

4 d526b01a 21c2b311 20f12c6d 74b7fcda 59d148c0

5 b456c646 d526b01a 4870acc4 20f12c6d 74b7fcda

6 c7d3a2df b456c646 b549ac06 4870acc4 20f12c6d

7 fecf520b c7d3a2df ad15b191 b549ac06 4870acc4

8 99ff1586 fecf520b f1f4e8b7 ad15b191 b549ac06

9 94c3ffac 99ff1586 ffb3d482 f1f4e8b7 ad15b191

10 7dfbe037 94c3ffac a67fc561 ffb3d482 f1f4e8b7

11 416f7fc2 7dfbe037 2530ffeb a67fc561 ffb3d482

12 726e4ae7 416f7fc2 df7ef80d 2530ffeb a67fc561

13 c1a839e0 726e4ae7 905bdff0 df7ef80d 2530ffeb

14 e54d04c6 c1a839e0 dc9b92b9 905bdff0 df7ef80d

15 153ba8f5 e54d04c6 306a0e78 dc9b92b9 905bdff0

16 c0d64826 153ba8f5 b9534131 306a0e78 dc9b92b9

17 147d405a c0d64826 454eea3d b9534131 306a0e78

18 e461e222 147d405a b0359209 454eea3d b9534131

19 ce1df559 e461e222 851f5016 b0359209 454eea3d

20 5e5b3fb3 ce1df559 b9187888 851f5016 b0359209

21 4b677210 5e5b3fb3 73877d56 b9187888 851f5016

22 4bf71505 4b677210 d796cfec 73877d56 b9187888

23 49e94c71 4bf71505 12d9dc84 d796cfec 73877d56

24 dcf8b25b 49e94c71 52fdc541 12d9dc84 d796cfec

25 93d5228f dcf8b25b 527a531c 52fdc541 12d9dc84

26 6125fb29 93d5228f f73e2c96 527a531c 52fdc541

27 8f908be0 6125fb29 e4f548a3 f73e2c96 527a531c

28 4a77363c 8f908be0 58497eca e4f548a3 f73e2c96

29 ff239bb2 4a77363c 23e422f8 58497eca e4f548a3

30 ef95685b ff239bb2 129dcd8f 23e422f8 58497eca

31 54ae55d3 ef95685b bfc8e6ec 129dcd8f 23e422f8

32 a621f9ba 54ae55d3 fbe55a16 bfc8e6ec 129dcd8f

33 2f1abebd a621f9ba d52b9574 fbe55a16 bfc8e6ec

34 80e6475c 2f1abebd a9887e6e d52b9574 fbe55a16

35 d0a4b9ef 80e6475c 4bc6afaf a9887e6e d52b9574

36 534c5fb3 d0a4b9ef 203991d7 4bc6afaf a9887e6e

37 99d06604 534c5fb3 f4292e7b 203991d7 4bc6afaf

38 8dd54d7c 99d06604 d4d317ec f4292e7b 203991d7

39 8a19d0aa 8dd54d7c 26741981 d4d317ec f4292e7b

40 a6faa511 8a19d0aa 2375535f 26741981 d4d317ec

41 a5b11b6f a6faa511 a286742a 2375535f 26741981

42 abee3f71 a5b11b6f 69bea944 a286742a 2375535f

43 f37f064a abee3f71 e96c46db 69bea944 a286742a

44 98bcd7e3 f37f064a 6afb8fdc e96c46db 69bea944

45 336146e9 98bcd7e3 bcdfc192 6afb8fdc e96c46db

46 bbb96c36 336146e9 e62f35f8 bcdfc192 6afb8fdc

47 63fee1b4 bbb96c36 4cd851ba e62f35f8 bcdfc192

48 8c97f438 63fee1b4 aeee5b0d 4cd851ba e62f35f8

49 8fe05a9d 8c97f438 18ffb86d aeee5b0d 4cd851ba

50 1ee99f6f 8fe05a9d 2325fd0e 18ffb86d aeee5b0d

51 dc3c9013 1ee99f6f 63f816a7 2325fd0e 18ffb86d

52 8bd58e52 dc3c9013 c7ba67db 63f816a7 2325fd0e

53 9f10dbc8 8bd58e52 f70f2404 c7ba67db 63f816a7

54 13ef5790 9f10dbc8 a2f56394 f70f2404 c7ba67db

55 0553cd66 13ef5790 27c436f2 a2f56394 f70f2404

56 1d628100 0553cd66 04fbd5e4 27c436f2 a2f56394

57 c69503f9 1d628100 8154f359 04fbd5e4 27c436f2

58 3023c438 c69503f9 0758a040 8154f359 04fbd5e4

59 f76cb313 3023c438 71a540fe 0758a040 8154f359

60 c16ec1d8 f76cb313 0c08f10e 71a540fe 0758a040

61 8b3af4c3 c16ec1d8 fddb2cc4 0c08f10e 71a540fe

62 ad75ee15 8b3af4c3 305bb076 fddb2cc4 0c08f10e

63 6bb9d4b5 ad75ee15 e2cebd30 305bb076 fddb2cc4

64 06feacd5 6bb9d4b5 6b5d7b85 e2cebd30 305bb076

65 e9d9ae9d 06feacd5 5aee752d 6b5d7b85 e2cebd30

66 9e186b3b e9d9ae9d 41bfab35 5aee752d 6b5d7b85

67 0a14db72 9e186b3b 7a766ba7 41bfab35 5aee752d

68 ee4036c4 0a14db72 e7861ace 7a766ba7 41bfab35

69 c74854f8 ee4036c4 828536dc e7861ace 7a766ba7

70 a94fc71d c74854f8 3b900db1 828536dc e7861ace

71 232c8bd9 a94fc71d 31d2153e 3b900db1 828536dc

72 40759dc0 232c8bd9 6a53f1c7 31d2153e 3b900db1

73 5f2a875e 40759dc0 48cb22f6 6a53f1c7 31d2153e

74 506a906f 5f2a875e 101d6770 48cb22f6 6a53f1c7

75 9067de61 506a906f 97caa1d7 101d6770 48cb22f6

76 ec68629c 9067de61 d41aa41b 97caa1d7 101d6770

77 db41cbf7 ec68629c 6419f798 d41aa41b 97caa1d7

78 784e0231 db41cbf7 3b1a18a7 6419f798 d41aa41b

79 49c4c137 784e0231 f6d072fd 3b1a18a7 6419f798

1d887dc1 39926cc0 f6ce5d8a 0702c773 feecfa97

NIST ASCII "abc" Test Case

0 67452301 efcdab89 98badcfe 10325476 c3d2e1f0

1 0116fc33 67452301 7bf36ae2 98badcfe 10325476

2 8990536d 0116fc33 59d148c0 7bf36ae2 98badcfe

3 a1390f08 8990536d c045bf0c 59d148c0 7bf36ae2

4 cdd8e11b a1390f08 626414db c045bf0c 59d148c0

5 cfd499de cdd8e11b 284e43c2 626414db c045bf0c

6 3fc7ca40 cfd499de f3763846 284e43c2 626414db

7 993e30c1 3fc7ca40 b3f52677 f3763846 284e43c2

8 9e8c07d4 993e30c1 0ff1f290 b3f52677 f3763846

9 4b6ae328 9e8c07d4 664f8c30 0ff1f290 b3f52677

10 8351f929 4b6ae328 27a301f5 664f8c30 0ff1f290

11 fbda9e89 8351f929 12dab8ca 27a301f5 664f8c30

12 63188fe4 fbda9e89 60d47e4a 12dab8ca 27a301f5

13 4607b664 63188fe4 7ef6a7a2 60d47e4a 12dab8ca

14 9128f695 4607b664 18c623f9 7ef6a7a2 60d47e4a

15 196bee77 9128f695 1181ed99 18c623f9 7ef6a7a2

16 20bdd62f 196bee77 644a3da5 1181ed99 18c623f9

17 4e925823 20bdd62f c65afb9d 644a3da5 1181ed99

18 82aa6728 4e925823 c82f758b c65afb9d 644a3da5

19 dc64901d 82aa6728 d3a49608 c82f758b c65afb9d

20 fd9e1d7d dc64901d 20aa99ca d3a49608 c82f758b

21 1a37b0ca fd9e1d7d 77192407 20aa99ca d3a49608

22 33a23bfc 1a37b0ca 7f67875f 77192407 20aa99ca

23 21283486 33a23bfc 868dec32 7f67875f 77192407

24 d541f12d 21283486 0ce88eff 868dec32 7f67875f

25 c7567dc6 d541f12d 884a0d21 0ce88eff 868dec32

26 48413ba4 c7567dc6 75507c4b 884a0d21 0ce88eff

27 be35fbd5 48413ba4 b1d59f71 75507c4b 884a0d21

28 4aa84d97 be35fbd5 12104ee9 b1d59f71 75507c4b

29 8370b52e 4aa84d97 6f8d7ef5 12104ee9 b1d59f71

30 c5fbaf5d 8370b52e d2aa1365 6f8d7ef5 12104ee9

31 1267b407 c5fbaf5d a0dc2d4b d2aa1365 6f8d7ef5

32 3b845d33 1267b407 717eebd7 a0dc2d4b d2aa1365

33 046faa0a 3b845d33 c499ed01 717eebd7 a0dc2d4b

34 2c0ebc11 046faa0a cee1174c c499ed01 717eebd7

35 21796ad4 2c0ebc11 811bea82 cee1174c c499ed01

36 dcbbb0cb 21796ad4 4b03af04 811bea82 cee1174c

37 0f511fd8 dcbbb0cb 085e5ab5 4b03af04 811bea82

38 dc63973f 0f511fd8 f72eec32 085e5ab5 4b03af04

39 4c986405 dc63973f 03d447f6 f72eec32 085e5ab5

40 32de1cba 4c986405 f718e5cf 03d447f6 f72eec32

41 fc87dedf 32de1cba 53261901 f718e5cf 03d447f6

42 970a0d5c fc87dedf 8cb7872e 53261901 f718e5cf

43 7f193dc5 970a0d5c ff21f7b7 8cb7872e 53261901

44 ee1b1aaf 7f193dc5 25c28357 ff21f7b7 8cb7872e

45 40f28e09 ee1b1aaf 5fc64f71 25c28357 ff21f7b7

46 1c51e1f2 40f28e09 fb86c6ab 5fc64f71 25c28357

47 a01b846c 1c51e1f2 503ca382 fb86c6ab 5fc64f71

48 bead02ca a01b846c 8714787c 503ca382 fb86c6ab

49 baf39337 bead02ca 2806e11b 8714787c 503ca382

50 120731c5 baf39337 afab40b2 2806e11b 8714787c

51 641db2ce 120731c5 eebce4cd afab40b2 2806e11b

52 3847ad66 641db2ce 4481cc71 eebce4cd afab40b2

53 e490436d 3847ad66 99076cb3 4481cc71 eebce4cd

54 27e9f1d8 e490436d 8e11eb59 99076cb3 4481cc71

55 7b71f76d 27e9f1d8 792410db 8e11eb59 99076cb3

56 5e6456af 7b71f76d 09fa7c76 792410db 8e11eb59

57 c846093f 5e6456af 5edc7ddb 09fa7c76 792410db

58 d262ff50 c846093f d79915ab 5edc7ddb 09fa7c76

59 09d785fd d262ff50 f211824f d79915ab 5edc7ddb

60 3f52de5a 09d785fd 3498bfd4 f211824f d79915ab

61 d756c147 3f52de5a 4275e17f 3498bfd4 f211824f

62 548c9cb2 d756c147 8fd4b796 4275e17f 3498bfd4

63 b66c020b 548c9cb2 f5d5b051 8fd4b796 4275e17f

64 6b61c9e1 b66c020b 9523272c f5d5b051 8fd4b796

65 19dfa7ac 6b61c9e1 ed9b0082 9523272c f5d5b051

66 101655f9 19dfa7ac 5ad87278 ed9b0082 9523272c

67 0c3df2b4 101655f9 0677e9eb 5ad87278 ed9b0082

68 78dd4d2b 0c3df2b4 4405957e 0677e9eb 5ad87278

69 497093c0 78dd4d2b 030f7cad 4405957e 0677e9eb

70 3f2588c2 497093c0 de37534a 030f7cad 4405957e

71 c199f8c7 3f2588c2 125c24f0 de37534a 030f7cad

72 39859de7 c199f8c7 8fc96230 125c24f0 de37534a

73 edb42de4 39859de7 f0667e31 8fc96230 125c24f0

74 11793f6f edb42de4 ce616779 f0667e31 8fc96230

75 5ee76897 11793f6f 3b6d0b79 ce616779 f0667e31

76 63f7dab7 5ee76897 c45e4fdb 3b6d0b79 ce616779

77 a079b7d9 63f7dab7 d7b9da25 c45e4fdb 3b6d0b79

78 860d21cc a079b7d9 d8fdf6ad d7b9da25 c45e4fdb

79 5738d5e1 860d21cc 681e6df6 d8fdf6ad d7b9da25

a9993e36 4706816a ba3e2571 7850c26c 9cd0d89d

Substitute 'program' for 'John' and 'nonce' for random string and this hits a number of common cryptographic protocols.

That's why collisions matter and that's why it matters finding them in less than brute force order. If the probability of a failure, and the associated risk assessment, is based on the brute force order then reducing the attack difficulty by a factor of 10^(80-69) = 10^11 may be significant.

If your original risk assessment said "We'll take a 1 in one billion risk" (very acceptable for most commercial ventures) you've just been holed below the waterline.

]]>First of all, if I'd even consider signing something like that, it'd be for the entire message string (from "John..." to "...zai"). What is the chance the signatures will match? There are enough this kind of cheap pranks around; I think I'm educated enough thank you.

Even if somebody is dumb enough to sign something like that; I would think it'd be from a trusted friend. And if just by chance, the poor guy actually kept a copy of the thing signed and produced the evidence in court, what's going to happen to you?

Thirdly, the collision case found so far is only a 58th-step ***intermediate hash value***, the SHA-1 algorithm wasn't even finished yet. There is really no proof of the 2^69 number yet at this time; or if a collision can really be found in 2^69. And even if that number actually works, how long it's gonna take you to find the random string?

It's easier to put invisible inks on paper.

]]>

John, it's not necessary to find a meaningful message that collides

with a similar meaningful message to do damage. In many transactions it's sufficent

to have a random message and meaningful message collide.

Say I email you:

'John I've some business I'd like to discuss with you but I'd like

to be sure that it's you I'm dealing with. Can you please digitally sign this

random string and send it back to me: "90823jkasdc9ujasdcv zai".

The reason I'm asking you to sign something random is so that someone

can't grab a previously signed "Yes, it's me message" out of their mail

from you and forward it to me.'

On the surface that's a reasonable request to identify yourself with a

protocol that avoids replay attacks.

You then do as I ask unknowing that I have prepared a message:

"I agree to pay Ian 1,000,000 Guineas Sterling for a short and

painful lesson in cryptographic protocols."

which has a hash collision with the random string I sent you. I substitute

that string for the random one in your signed message and then instruct

my own lawyer to recover the 1,000,000 guineas from you. I chose the message

then I found a random collision for it and presented it so that a random

string looked reasonable to you.

That is the summary. The final paper is not yet (to my knowledge) openly public information, and is significantly longer.

]]>http://theory.csail.mit.edu/~yiqun/shanote.pdf

So if this IS THE summary, then I assume the page 3 is the result of the attack? It seems to me that nowhere on the paper it showed and proved the full ***80-step SHA-1*** was cracked; the page 3 summary showed a ***58-step SHA-1*** attack. Can you even call that SHA-1?

Maybe I'm stupid, but page 1 seems to have lots of vague and misleading clauses to me.

"Our analysis shows that collisions of SHA1 can be found with complexity less than 2^69 hash operations. This is the first attack on the full 80-step SHA1 with complexity less than the 2^80 theoretical bound."

This makes you think, oh SHA-1 (the real 80-step one) collision was found. And next sentence it says

"Based on our ***ESTIMATION?!**, we expect that real collisions of SHA1 reduced to 70-steps can be found using today's supercomputers."

And only in the final paragraph it mentioned

"We also ***implemented*** the attack on SHA1 reduced to 58 steps and found real collisions with less than 2^33 hash operations."

So it seems to me the 2^69 number was an ***estimated result" based on the 58-step attack??

The whole hell raising alarm about the "broken SHA-1" was based on this (3 page) paper or is there something else?

]]>Thanks

There are three points to consider,

The first, is some contracts (ie your home mortgage for instance) have a very long time to run, often the important thing in long contracts are the termination clauses (think leasess and in the UK the PFI contracts).

The second, is usually any new attack leads to insite into other attacks (The history of FEAL for instance) as noted above the NSA have a saying about attackes getting better not worse.

The Third and perhaps the most important, is perception, currently it is very difficult to explain digital signitures and crypto attacks to involved parties such as engineers, think what problems our legislators are going to have. Any successfull attack on any crypto primative is going to erode confidence and delay any eventual acceptance of digital contracts etc.

]]>Had anyone tested the test vectors provided by Xiaoyun Wang and others in their short paper on collision search attacks on SHA-1

]]>

If I have a short message (and a lot of contracts are not short) saying something like "I accept your offer to buy 1000 widgets for $100 each for delivery on March 1 in Chicago" - then there is no point in doing 2**69 computations to get a message that has the same hash but which reads "Home, home on the range, where the deer and the antelope play", or (more likely) "dowinr02asvi0nvewt0svj0wr2309fj jdjr032493jr0d9j()D9JR)#(jFDj ".

It would be almost inconceivable to find a message that shared a hash with another message that was identical to it except for a significant credible variation.

And how long does the bad guy/good cryptographer have to come up with the variation? In my little example, if it's not by March 1, forget it.

Presumably once the hash is broken, it will be further broken, i.e. the computations required to find a matching hash will fall from 2**69 to something less over time - but it's still going to be a challenge to find the significant credible variation.

Besides, there is usually lots of evidence about what a transaction is or was, besides the document or the signature. (I have long thought that high-value e-commerce between strangers was unlikely, without a trusted intermediary, not a CA but a financial institution.) So a court would usually be able to figure out which variant of a document was credible, just as it does now for paper documents that vary when they are not supposed to.

So it's going to be a very slow walk to the exits for the lawyers. We'll adopt what the engineers and cryptographers are selling long before we need it, because they need it more and will change the market accordingly.

]]>Bruce Schneier pointed out in several of his comment messages that SHA-1 being broken is bad, and he's in a much better position than I am to say so. That being said, one should not forget that in many fields hashing is not the only element that is of importance, so the specialists may often be able to reduce the now-increased risk again by applying other measures. However, cryptology cannot be expected to take all fields of application of a hash algorithm into account, so it needs one that's not broken.

]]>> Since the method you described produces a sequence of collisions,

Well, I'm embarassed; that's just not true. Still the difference between '1' and '5' in ascii is just one bit so if you're a bit lucky, one collision is all you need.

John Gregory wrote:

> But if I have a digitally signed contract, how long will it take someone to come up with an apparently identically signed contract that has only a meaningful change and otherwise appears to be credible (even allowing for a few typos and invisible metadata)?

That's not what this current attack does, rather it is a way of finding two messages with the same hash (If one is signed, the signature is valid for the other as well). For the brute-force attack, producing two contracts where one has a '5' in place of a '1' in the other (and invisible metadata changed) is easy enough. For the new attack, well we just don't know.

But it still seems to me - as a lawyer not a cryptographer or engineer - to be a slow walk. By applying 2**69 computing power (possibly years of work or many parallel computers), one can get *one* random message that will match the one you start with. But how much computing power and time is needed to get a *useful* message that matches the one you start with?

Bruce mentions the "zillions" of messages (he's surely allowed to be imprecise when he chooses to be!) to sort through to find a "sell 1000 shares" message to substitute for a "buy 1000 shares" message. But if I have a digitally signed contract, how long will it take someone to come up with an apparently identically signed contract that has only a meaningful change and otherwise appears to be credible (even allowing for a few typos and invisible metadata)?

Surely a VERY long time.

It will be a while as well before there are tools available to apply to existing digitally signed documents to create useful (to the bad sort of people) variants that will appear legitimate.

And the signature and the encryption and the hashing all produce SOME evidence, and not usually the best.

I recognize that there are lots of other uses of hashes, as Bruce says in his original article, and they need to work reliably for many systems to work. That's why I will expect the engineers and cryptgraphers to change hashes, but why I would not advise my clients to panic, or even to settle ...

That's clever all right; thanks for the explanations. And I can see how to extend it along the lines of Mr. Schneier's example:

Instead of SHA-1, use SHA-1':

SHA-1'(x) = SHA-1("message-id: " + x + "\n\nBuy " + x[0] + "000 shares.")

Since the method you described produces a sequence of collisions, one could pick the desired collision from the sequence so long as the difference between the two messages is quite small.

I guess we'll have to wait to see what sorts of attacks the new technique allows. But I take Bruce Schneier's point: even if the current attack isn't exploitable, it is a starting point for developing better attacks.

]]>"No, if you had one message you wished to match, you'd find (on average) one match for it in 2^80 random messages."

No, I'm right. The second problem requires 2**160 random messages. The first problem requires 2**80 messages. And yes, it is an example of the Birthday problem.

]]>No, if you had one message you wished to match, you'd find (on average) one match for it in 2^80 random messages.

This is the "Birthday problem": "How many people do you need so that there is a 50% chance that a pair of them share the same birthday?" The answer is 23. It is a different question from "How many people do you need so that there is at least a 50% chance that one of them shares *my* birthday", for which the answer is >183. (365 times whatever the mean of a Poisson distribution has to be for P(0)

]]>Firstly, you could substitute a different format of file - maybe I could use a WordPerfect file instead of a text file. People send all sorts of file formats, why does the replacement have to be the same?

Secondly - an idea inspired by the first - many complicated file formats are capable of nearly arbitrary manipulation while retaining their original contents using traditional viewers.

What I mean is - Microsoft Word documents contain undo metadata, and all sorts of other metadata which is not obviously viewable, and which does not need to match in any way at all the original document. Many versions of Word even used sparse files - not writing at all in certain sections. You could hack a file and put whatever you wanted into the sparse sections.

Another example is something like a video file. QuickTime, say, lets you have multiple streams of many different formats. You could have a video, audio, and "other" stream, the "other" stream being meaningless data for hash function manipulation.

Final example is TIFF. TIFF lets you encode many, many different types of data. Microsoft TabletPCs, I've been told, can use TIFFs to transfer an image of your handwriting - with an extra layer containing the vector stroke data.

How many file formats simply ignore garbage appended to the end? Xmodem in some (all?) variants, I believe, would "round" transferred files to the block size you used back in the BBS modem days.

While it would be hard to use a broken hash to exploit short pure ASCII messages, I think it's very clear that more complicate file formats are wide open, and in many cases nearly trivial to modify without making it apparent.

Even if you do as a developer protect the file format in your application, in the real business world, chances are somebody could encode the same document in an easily modifiable format without arousing suspicion.

]]>Brute forcing can be done without huge amount of memory if you're clever. Let S^n(x) be SHA-1 iterated n times starting with x. So S(x) is SHA-1 of x, S^2(x) = S(S(x)) etc.

Then fix x and compute S^n(x) and S^2n(x) for successive values of n. You expect to find a pair S^n(x)=S^2n(x) in around 2^80 operations. (More generally 2^(k/2) operations for a k bit hash).

That algorithm doesn't parallelize at all well, but a variant does: on each processor, choose x at random [different for each processor] and then compute

min( S^n(x), S^{n+1}(x) ... S^{2n}(x) )

where n is choosen so that (n times number of processors) is about 2^80.

[actually it's better to keep the smallest few hash values, not just the smallest one.]

Collect all the minimums together and see if any are equal.

Then again you expect to find a collision in about 2^80 operations.

If it doesn't parallelize at all, then it might actually be harder to carry out than a brute force attack.

OTOH if it needs little memory and scales perfectly with parallelization and pipelining then it may be even better compared to brute force than the number of operations suggest.

]]>