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Google Has Demonstrated a Successful Practical Attack Against SHA-1 (googleblog.com)

Reader Artem Tashkinov writes: Ten years after of SHA-1 was first introduced, Google has announced the first practical technique for generating an SHA-1 collision. It required two years of research between the CWI Institute in Amsterdam and Google. As a proof of the attack, Google has released two PDF files that have identical SHA-1 hashes but different content. The amount of computations required to carry out the attack is staggering: nine quintillion (9,223,372,036,854,775,808) SHA1 computations in total which took 6,500 years of CPU computation to complete the attack first phase and 110 years of GPU computation to complete the second phase.

Google says that people should migrate to newer hashing algorithms like SHA-256 and SHA-3, however it's worth noting that there are currently no ways of finding a collision for both MD5 and SHA-1 hashes simultaneously which means that we still can use old proven hardware accelerated hash functions to be on the safe side.

10 of 143 comments (clear)

  1. Re:Practical? by darkain · · Score: 5, Interesting

    It is all about cost-benefit. CPU speeds continue to get faster, and renting CPU time on cloud providers become cheaper and cheaper.

    Why is this significant? There are still major certificate authorities out there with intermediate certificates using SHA-1. Find a collision for these certificates, and you essentially become a new intermediate certificate authority with the ability to issue domain certs for basically anything you want and they'll validate in browsers.

    Now thing of government agencies or crime syndicates that could afford the CPU/GPU time to do this. It is a highly practical attack vector now.

  2. What should happen and what will happen by JoshuaZ · · Score: 4, Interesting

    If one looks at the history of what happened the last time a major hash was broken, there was a large gap between when MD5 has its first collisions and when it became practical to detect collisions. There was about a little under a decade between when the first collisions were found and when it became easy to find collisions. The general expectation is that hash systems will fail gracefully in a similar way so we have a large amount of warning to switch over. Unfortunately, we've also seen that in practice people don't adopt new hash algorithms nearly as fast as they should. The second to last Yahoo security breach was so bad in part because the passwords were hashed with a completely unsalted MD5 https://nakedsecurity.sophos.com/2016/12/15/yahoo-breach-ive-closed-my-account-because-it-uses-md5-to-hash-my-password/. The lack of salting would have been by itself a problem even when MD5 was still considered insecure. That in 2015, a decade after MD5 was broken for almost all purposes, Yahoo was still using it, is appalling. Unfortunately, they likely aren't the only one. And I fully expect that if Slashdot is around in a decade we'll read about someone who has foolishly stored passwords using SHA-1.

    1. Re:What should happen and what will happen by swillden · · Score: 3, Informative

      The second to last Yahoo security breach was so bad in part because the passwords were hashed with a completely unsalted MD5 https://nakedsecurity.sophos.com/2016/12/15/yahoo-breach-ive-closed-my-account-because-it-uses-md5-to-hash-my-password/. The lack of salting would have been by itself a problem even when MD5 was still considered secure.

      Actually, even with salting, no standard cryptographic hash function is appropriate for password databases. You can squeak by if you iterate the hash function enough times, but even that is pretty weak, since it means that an attacker with lots of GPUs -- or, even worse, special-purpose hardware -- can perform hashes so much faster than you can that the key stretching you obtain is minimal.

      The state of the art in password hashing is algorithms like Argon2, with parameters that are tuned to require significant amounts of not just CPU time, but RAM and threads. Argon2, tuned to require, say, 10ms of time on four cores and 256 MiB of RAM, is going to significantly strengthen passwords. The RAM requirement means a GPU with 4 GiB of RAM can only test 16 passwords in parallel, making GPU-based cracking essentially useless, since what GPUs provide is huge parallelism. Custom ASICs would do better, but would still run into bottlenecks on the speed of the RAM. Making really fast cracking hardware would require either huge amounts of RAM, or large amounts of extremely fast RAM. Either way, big $$$.

      Even better, if at all possible you should use a hash that is keyed as well as salted. Doing that requires having some place to store the key that won't be compromised by the same sorts of attacks that compromise your password database. In most cases that's hard to do. Argon2 will accept a key so you can get both sorts of protection, though if you can be really, really certain that no attacker can ever get the key, then you can use a standard cryptographic hash function in a keyed mode, e.g. HMAC-SHA256, though I'd still recommend using a purpose-designed password hash (e.g. Argon2) in case your key is compromised.

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  3. Are two hashes better than one? by Anon+E.+Muss · · Score: 4, Interesting

    ... however it's worth noting that there are currently no ways of finding a collision for both MD5 and SHA-1 hashes simultaneously

    Any crypto geeks want to weigh in on the truth of this statement? I've often wondered about this. Wouldn't using two hash algorithms be easier and more effective over the long term than getting the whole world to upgrade to the Latest And Greatest Hash every ~10 years?

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    1. Re:Are two hashes better than one? by namgge · · Score: 3, Informative

      I think the idea was that one finds an MD5 collision for document A by adding a block of data B to the end of it creating a new documents C. The SHA hash of document C, SHA(C) will not, in general, match SHA(A).

      FInding B such that both MD5(C)==MD5(A) and SHA(C) ==SAH(A) is still unfeasible.

  4. Re:Practical? by Guspaz · · Score: 4, Insightful

    Well, what exactly a time unit of CPU computation means isn't defined (it's like saying "This item cost me 500 monetary units", there's no context), but if we just take it to mean a literal amount of time on any random CPU...

    6,500 years of CPU time potentially costs as little as ~$171k USD at Amazon, and compute costs are continuously falling.

  5. Re:For variable values of "practical" and "relevan by EndlessNameless · · Score: 3, Informative

    Not a lot you can do?

    Anything that requires signatures is vulnerable to forgery if the signer's certificate specifies SHA1.

    An attacker could forge:

    1. Software signatures - to slip malware into a software vendor's distribution channels.

    2. SSL certificates - to MITM web connections to phish, steal data, or distribute malware.

    3. Personal digital signatures - to fabricate documents, including emails, transaction, orders, etc that are normally trusted implicitly due to the signature

    4. Subordinate CA certificates - to create trusted certificates which permit all of the above

    The problem lies with #4. The real risk is not a one-off duplicate of John Doe's smart card. The real danger is the CAs signed with SHA1 who are still trusted by browsers, applications, and OSes around the world. If an attacker counterfeits one of their certificates, he can issue arbitrary certificates for any web site, any software publishers, or any user.

    The only solution is to discontinue the use of SHA1 internally and to revoke trust for all CAs that still use SHA1. Better crypto has existed for a long time---the standard for SHA2 was finalized in 2001, well over a decade ago.

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  6. Crafted data by OneHundredAndTen · · Score: 4, Informative

    The data was crafted in order to simplify attaining their goal. It would be far more damning if they could put together a document that results in the same SHA-1 hash as that of an externally specified document.

  7. Re:Practical? by Bob+the+Super+Hamste · · Score: 5, Informative
    Ever since I read this blurb from Applied Cryptography by Bruce Schneier years ago it has really put things into perspective when it comes to what is strong crypto and what isn't. I got the concept from him so it isn't my own idea even if I did simplify the explanation of it.:

    One of the consequences of the second law of thermodynamics is that a certain amount of energy is necessary to represent information. To record a single bit by changing the state of a system requires an amount of energy no less than kT, where T is the absolute temperature of the system and k is the Boltzman constant. (Stick with me; the physics lesson is almost over.)

    Given that k = 1.38×10^-16 erg/Kelvin, and that the ambient temperature of the universe is 3.2 Kelvin, an ideal computer running at 3.2K would consume 4.4×10^-16 ergs every time it set or cleared a bit. To run a computer any colder than the cosmic background radiation would require extra energy to run a heat pump.

    Now, the annual energy output of our sun is about 1.21×10^41 ergs. This is enough to power about 2.7×10^56 single bit changes on our ideal computer; enough state changes to put a 187-bit counter through all its values. If we built a Dyson sphere around the sun and captured all its energy for 32 years, without any loss, we could power a computer to count up to 2^192. Of course, it wouldn't have the energy left over to perform any useful calculations with this counter.

    But that's just one star, and a measly one at that. A typical supernova releases something like 10^51 ergs. (About a hundred times as much energy would be released in the form of neutrinos, but let them go for now.) If all of this energy could be channeled into a single orgy of computation, a 219-bit counter could be cycled through all of its states.

    These numbers have nothing to do with the technology of the devices; they are the maximums that thermodynamics will allow. And they strongly imply that brute-force attacks against 256-bit keys will be infeasible until computers are built from something other than matter and occupy something other than space.

    I want crypto that has a good chance of outlasting the heat death of the universe even with a quantum computer. For symmetric key crypto this means you would need somewhere around a 601 bit keyspace IIRC before you exceed the mass energy of the universe.

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  8. Re:What about signed code? by viperidaenz · · Score: 3, Informative

    Perhaps you could have just read the documentation?

    Supported Algorithms
    By default, the jarsigner command signs a JAR file using one of the following algorithms:

    Digital Signature Algorithm (DSA) with the SHA1 digest algorithm

    RSA algorithm with the SHA256 digest algorithm

    Elliptic Curve (EC) cryptography algorithm with the SHA256 with Elliptic Curve Digital Signature Algorithm (ECDSA).

    If the signer's public and private keys are DSA keys, then jarsigner signs the JAR file with the SHA1withDSA algorithm. If the signer's keys are RSA keys, then jarsigner attempts to sign the JAR file with the SHA256withRSA algorithm. If the signer's keys are EC keys, then jarsigner signs the JAR file with the SHA256withECDSA algorithm.

    These default signature algorithms can be overridden using the -sigalg option

    http://docs.oracle.com/javase/7/docs/technotes/tools/windows/jarsigner.html