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The MD5 message-digest algorithm is a widely used hash function producing a 128- bit hash value. MD5 was designed by Ronald Rivest in 1991 to replace an earlier hash function MD4, [1] and was specified in 1992 as RFC 1321. MD5 can be used as a checksum to verify data integrity against unintentional corruption. Historically it was widely used as ...
Command. License. coreutils: GNU GPL v3. md5sum is a computer program that calculates and verifies 128-bit MD5 hashes, as described in RFC 1321. The MD5 hash functions as a compact digital fingerprint of a file. As with all such hashing algorithms, there is theoretically an unlimited number of files that will have any given MD5 hash.
An MD5 hash is a 16-byte value. The HA1 and HA2 values used in the computation of the response are the hexadecimal representation (in lowercase) of the MD5 hashes respectively. RFC 2069 was later replaced by RFC 2617 (HTTP Authentication: Basic and Digest Access Authentication).
The Secure Hash Algorithms are a family of cryptographic hash functions published by the National Institute of Standards and Technology (NIST) as a U.S. Federal Information Processing Standard (FIPS), including: SHA-0: A retronym applied to the original version of the 160-bit hash function published in 1993 under the name "SHA".
The salt is typically a random value. The bcrypt function uses these inputs to compute a 24-byte (192-bit) hash. The final output of the bcrypt function is a string of the form: $2<a/b/x/y>$[cost]$[22 character salt][31 character hash] For example, with input password abc123xyz, cost 12, and a random salt, the output of bcrypt is the string
A cryptographic hash function ( CHF) is a hash algorithm (a map of an arbitrary binary string to a binary string with a fixed size of bits) that has special properties desirable for a cryptographic application: [1] finding an input string that matches a given hash value (a pre-image) is unfeasible, assuming all input strings are equally likely.
This attack is normally harder, a hash of n bits can be broken in 2 (n/2)+1 time steps, but is much more powerful than a classical collision attack. Mathematically stated, given two different prefixes p 1, p 2, the attack finds two suffixes s 1 and s 2 such that hash(p 1 ∥ s 1) = hash(p 2 ∥ s 2) (where ∥ is the concatenation operation).
Hash collision. John Smith and Sandra Dee share the same hash value of 02, causing a hash collision. In computer science, a hash collision or hash clash [1] is when two distinct 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 ...