Fowler–Noll–Vo hash function

From formulasearchengine
Jump to navigation Jump to search

Fowler–Noll–Vo is a non-cryptographic hash function created by Glenn Fowler, Landon Curt Noll, and Phong Vo.

The basis of the FNV hash algorithm was taken from an idea sent as reviewer comments to the IEEE POSIX P1003.2 committee by Glenn Fowler and Phong Vo in 1991. In a subsequent ballot round, Landon Curt Noll improved on their algorithm. Some people tried this hash and found that it worked rather well. In an EMail message to Landon, they named it the Fowler/Noll/Vo or FNV hash. [1]


The current versions are FNV-1 and FNV-1a, which supply a means of creating non-zero FNV offset basis. FNV currently comes in 32-, 64-, 128-, 256-, 512-, and 1024-bit flavors. For pure FNV implementations, this is determined solely by the availability of FNV primes for the desired bit length; however, the FNV webpage discusses methods of adapting one of the above versions to a smaller length that may or may not be a power of two. [2][3]

The FNV hash algorithms and sample FNV source code have been released into the public domain. [4]

FNV is not a cryptographic hash.

The hash

One of FNV's key advantages is that it is very simple to implement. Start with an initial hash value of FNV offset basis. For each byte in the input, multiply hash by the FNV prime, then XOR it with the byte from the input. The alternate algorithm, FNV-1a, reverses the multiply and XOR steps.

FNV-1 hash

The FNV-1 hash algorithm is as follows: [5]

   hash = FNV_offset_basis
   for each octet_of_data to be hashed
   	hash = hash  FNV_prime
   	hash = hash XOR octet_of_data
   return hash

In the above pseudocode, all variables are unsigned integers. All variables, except for octet_of_data, have the same number of bits as the FNV hash. The variable, octet_of_data, is an 8 bit unsigned integer.

As an example, consider the 64-bit FNV-1 hash:

  • All variables, except for octet_of_data, are 64-bit unsigned integers.
  • The variable, octet_of_data, is an 8 bit unsigned integer.
  • The FNV_offset_basis is the 64-bit FNV offset basis value: 14695981039346656037.
  • The FNV_prime is the 64-bit FNV prime value: 1099511628211.
  • The multiply (indicated by the symbol) returns the lower 64-bits of the product.
  • The XOR is an 8-bit operation that modifies only the lower 8-bits of the hash value.
  • The hash value returned is a 64-bit unsigned integer.

The values for FNV prime and FNV offset basis may be found in this table.[6]

FNV-1a hash

The FNV-1a hash differs from the FNV-1 hash by only the order in which the multiply and XOR is performed: [7]

   hash = FNV_offset_basis
   for each octet_of_data to be hashed
   	hash = hash XOR octet_of_data
   	hash = hash  FNV_prime
   return hash

The above pseudocode has the same assumptions that were noted for the FNV-1 pseudocode. The small change in order leads to much better avalanche characteristics. [8]

Demonstrated weaknesses

The FNV hash has a few weaknesses identified by its authors that make it unsuitable as a cryptographic hash function:[9]

  • Speed of Computation - As a hash designed primarily for hashtable and checksum use, FNV-1 and 1a were designed to be fast to compute. However, this same speed makes it more feasible for a computer to find hash values (and thus collisions) by brute-force.
  • Sticky State - Being an iterative hash based primarily on multiplication and XOR, the algorithm is sensitive to the number zero. Specifically, if the hash value were to become zero at any point during calculation, and the next byte hashed was also all zeroes, the hash would not change. This makes colliding messages trivial to create given a message that results in a hash value of zero at some point in its calculation. Additional operations, such as the addition of a third constant prime on each step, can mitigate this but may have detrimental effects on avalanche effect or random distribution of hash values.
  • Diffusion - The ideal secure hash function is one in which each byte of input has an equally-complex effect on every bit of the hash. In the FNV hash, the ones place (the rightmost bit) is always the XOR of the rightmost bit of every input byte. This can be mitigated by XOR-folding (computing a hash twice the desired length, and then XORing the bits in the "upper half" with the bits in the "lower half").

See also


External links

de:FNV (Informatik) ru:FNV