When calculating a single MD5 checksum on a large file, what technique is generally used to combine the various MD5 values into a single value? Do you just add them together? I'm not really interested in any particular language, library or API which will do this; rather I'm just interested in the technique behind it. Can someone explain how it is done?
Given the following algorithm in pseudo-code:
MD5Digest X
for each file segment F
MD5Digest Y = CalculateMD5(F)
Combine(X,Y)
But what exactly would Combine
do? Does it add the two MD5 digests together, or what?
Although MD5 was initially designed to be used as a cryptographic hash function, it has been found to suffer from extensive vulnerabilities. It can still be used as a checksum to verify data integrity, but only against unintentional corruption; collision attacks are possible when malice is introduced.
Yes, because MD5 has been broken with regard to collision resistance. That means that you can find identical hashes if you control both (or more) inputs to a certain degree. With MD5 that basically means that you need to be able to put a 512 bit block of specific data somewhere within the input.
In computer science, a hash collision or clash is when two pieces of data in a hash table share the same hash value. The hash value in this case is derived from a hash function which takes a data input and returns a fixed length of bits.
Although originally designed as a cryptographic message authentication code algorithm for use on the internet, MD5 hashing is no longer considered reliable for use as a cryptographic checksum because security experts have demonstrated techniques capable of easily producing MD5 collisions on commercial off-the-shelf ...
However, there is not a unique hash code value for each unique string value. Different strings can return the same hash code.
In order to calculate MD5 values for files which are too large to fit in memory
With that in mind, you don't want to "combine" two MD5 hashes. With any MD5 implementation, you have a object that keeps the current checksum state. So you can extract the MD5 checksum at any time, which is very handy when hashing two files that share the same beginning. For big files, you just keep feeding in data - there's no difference if you hash the file at once or in blocks, as the state is remembered. In both cases you will get the same hash.
MD5 is an iterative algorithm. You don't need to calculate a ton of small MD5's and then combine them somehow. You just read small chunks of the the file and add them to the digest as your're going, so you never have to have the entire file in memory at once. Here's a java implementation.
FileInputStream f = new FileInputStream(new File("bigFile.txt"));
MessageDigest digest = MessageDigest.getInstance("md5");
byte[] buffer = new byte[8192];
int len = 0;
while (-1 != (len = f.read(buffer))) {
digest.update(buffer,0,len);
}
byte[] md5hash = digest.digest();
Et voila. You have the MD5 of an entire file without ever having the whole file in memory at once.
Its worth noting that if for some reason you do want MD5 hashes of subsections of the file as you go along (this is sometimes useful for doing interim checks on a large file being transferred over a low bandwidth connection) then you can get them by cloning the digest object at any time, like so
byte[] interimHash = ((MessageDigest)digest.clone()).digest();
This does not affect the actual digest object so you can continue to work with the overall MD5 hash.
Its also worth noting that MD5 is an outdated hash for cryptographic purposes (such as verifying file authenticity from an untrusted source) and should be replaced with something better in most circumstances, such as SHA-1. For non-cryptographic purposes, such as verifying file integrity between two trusted sources, MD5 is still adequate.
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