Calculate a Hash
Decrypt (search for a match)

Hash Result

Value Algorithm Hash
bookma md2 076a34dcaf2fd98ebe458351f7185c1e
bookma md4 d1afd7c5d01cc0bb898bce04227390f0
bookma md5 a1ac363780774ec13f37c3382e215b74
bookma sha1 78e4d594a9a13811898102c1bdf06f9c413c8f38
bookma sha224 08697ea9dd4c912d476ec312b9170a0b0ef192c94dee88378c81217a
bookma sha256 b40465e9076f6d518d89bfb8f1d0709b5b6aed8b2b3a515e896e8c82c0755583
bookma sha384 ab7199e1843905e6e2a1253dc84fe61417492cf3c7a6ee3edc07bbf63bae414fe1f38172c275394edf4e24576b2be3f4
bookma sha512/224 b58d1d422b7afcbfaa829d37da03c070701a9bd70eb5c68356dd1a73
bookma sha512/256 129e20e669ac9460c69f494fdbbca3d53254cb81daa54fd2bfb64baa7abc0695
bookma sha512 a4102c3be6d769b22368510f11d2d69d48de12bbe327d310286e076280ee35633362cb7a8b6d799b458e821fbe2e4852d3f5491bfe9cb492d2e37325a2904526
bookma sha3-224 a557f17701b2a5eb2affed1797d22bb81f4ca9684cc6bcb222c2b96a
bookma sha3-256 975601df0fd963f183e82b7f73f2d54a7d4033ef187583977a251dc968088d4a
bookma sha3-384 c64fd8eeeb4e35879b12efd91461c5eb5af3fa16c346e8ae6f39b1756562fcb8e2627dd3244420cd3909e100d17be30e
bookma sha3-512 c2e0315ab72dc34a8d0e732cc2111d231e5c4d1f316f2e74e27a7d5186640681713ec4497bd4db3b3552fc1a3d6dd2fe6721a363e5eab53de4c259506a5529a1
bookma ripemd128 67f3e2dc36ddbeebc8320443f0fe5cd7
bookma ripemd160 eae6b0a910691f1e6c5e8d9a0c80be3598ef407f
bookma ripemd256 ba76fa77d8f9b5a3c4b39f866ffab47636a54fcab97681e2e77f1b4a97549263
bookma ripemd320 64f0957e01a67f46bc2e373f2132145479a0e3c562d56ecca2f3465ebda008e0147d6c7649562e8a
bookma whirlpool 53a298db7f757517d2064ee34825442dc0de0426b8e949238792655d89a65f7b0c51af88a67f6cf8060ba464908edaf6ed2adde2e06dca04ad192e6d4b38d974
bookma tiger128,3 c952fff279747bc8ab1e56cedd281044
bookma tiger160,3 c952fff279747bc8ab1e56cedd281044fd71cc30
bookma tiger192,3 c952fff279747bc8ab1e56cedd281044fd71cc3075fc9aeb
bookma tiger128,4 eb9a84f7e2e64dd473e309019250358b
bookma tiger160,4 eb9a84f7e2e64dd473e309019250358b9bfc0871
bookma tiger192,4 eb9a84f7e2e64dd473e309019250358b9bfc08712541b2e6
bookma snefru bd92a83b056ab4a083948f0537326160c39a54edee0ca636a0d8a446dd533eff
bookma snefru256 bd92a83b056ab4a083948f0537326160c39a54edee0ca636a0d8a446dd533eff
bookma gost adf641cd40fea699c2b3e1cb474fe3cd08f7cc4d54456577a949d83fb7002568
bookma gost-crypto 23e2e82f757b249b6446bb33c3eaecb4ac6d8b73d46cb375f0a5a1f0a6455d3e
bookma adler32 08b5027a
bookma crc32 cc5f43bf
bookma crc32b 22bd68de
bookma fnv132 99834dd4
bookma fnv1a32 c1830aea
bookma fnv164 a8fa1667ff1aeff4
bookma fnv1a64 18c81980fb54856a
bookma joaat 5261586a
bookma haval128,3 ee71b02c1e5745eb50bf3e2633783361
bookma haval160,3 0409c0d1202da6ad4a7b9ce708b25fa83c5dbec5
bookma haval192,3 8a42413fa6bdf48cd3a106329b85386be45ad3adccd368ab
bookma haval224,3 806056f491b63fcc34b5b3a62ac1d18dfe45fd981d838a24aab46664
bookma haval256,3 037646a46b04611f8d64eedfd0869881279be8af7c9a3c7cadc0480711ce3a94
bookma haval128,4 68b1ca05529e1527efd6d127604b347e
bookma haval160,4 afd71ead67b6b450fa92edb011e3323b6c49edd1
bookma haval192,4 79decad49a20c10d38a287bed9c2eb6b18ace22234f3d065
bookma haval224,4 78637af1456ab59e496cc4e18b3ad1d38aa26f76895d17caff730a48
bookma haval256,4 f9b0b6948d565b0e49c5aec5bc8e853ec602549414380ef626f6a6e0f628b6b0
bookma haval128,5 45137094c95d0e3cb2e8f3a844ac639f
bookma haval160,5 859680e33b1424dfb06c0b88a7552f0d25304335
bookma haval192,5 f2b468e90467d8fbbc58bf41ad88d0b4e70464a66ee76bdc
bookma haval224,5 1c3bfd5df19ce62f023a8b27108e3900b00092612776c254d5026f35
bookma haval256,5 1422e2b5780d88366c5f91c08db4440569c8fbf903ac83b3637ac8bed5308638

About Hash function

A hash function is any algorithm that maps data of a variable length to data of a fixed length. The values returned by a hash function are called hash values, hash codes, hash sums, checksums or simply hashes.

Hash functions are primarily used to generate fixed-length output data that acts as a shortened reference to the original data. This is useful when the original data is too cumbersome to use in its entirety.

One practical use is a data structure called a hash table where the data is stored associatively. Searching for a person's name in a list is slow, but the hashed value can be used to store a reference to the original data and retrieve constant time (barring collisions). Another use is in cryptography, the science of encoding and safeguarding data. It is easy to generate hash values from input data and easy to verify that the data matches the hash, but hard to 'fake' a hash value to hide malicious data. This is the principle behind the Pretty Good Privacy algorithm for data validation.

Hash functions are also used to accelerate table lookup or data comparison tasks such as finding items in a database, detecting duplicated or similar records in a large file, finding similar stretches in DNA sequences, and so on.

A hash function should be deterministic: when it is invoked twice on pieces of data that should be considered equal (e.g., two strings containing exactly the same characters), the function should produce the same value. This is crucial to the correctness of virtually all algorithms based on hashing. In the case of a hash table, the lookup operation should look at the slot where the insertion algorithm actually stored the data that is being sought for, so it needs the same hash value.

Hash functions are typically not invertible, meaning that it is not possible to reconstruct the input datum x from its hash value h(x) alone. In many applications, it is common that several values hash to the same value, a condition called a hash collision. Since collisions cause "confusion" of objects, which can make exact hash-based algorithm slower approximate ones less precise, hash functions are designed to minimize the probability of collisions. For cryptographic uses, hash functions are engineered in such a way that is impossible to reconstruct any input from the hash alone without expending great amounts of computing time (see also One-way function).

Hash functions are related to (and often confused with) checksums, check digits, fingerprints, randomization functions, error-correcting codes, and cryptographic. Although these concepts overlap to some extent, each has its own uses and requirements and is designed and optimized differently. The Hash Keeper database maintained by the American National Drug Intelligence Center, for instance, is more aptly described as a catalog of file fingerprints than of hash values.