Calculate a Hash
Decrypt (search for a match)

Hash Result

Value Algorithm Hash
blikimore md2 57147cac090ddba2e17d33ebc6cbb923
blikimore md4 7d68ca23c7cbeed040e90d4481e982fd
blikimore md5 04820a8ee789287f63d6cf483427fb13
blikimore sha1 6e4b45f7fb6ac9024e951ee433fb08d318a95005
blikimore sha224 821cfc738296c81e51c05265bbce6d794201c2259938c688969f3888
blikimore sha256 542185c5d66d917b3371153ff754e238e64bdedde3e2ee8b1ff5561ba9b3e581
blikimore sha384 849941c414b7922e6f3ff7c5389841b2f452a71be5aaf29536d423cdca7d1de88864ede8f83ba41407035d5d11d68ba1
blikimore sha512/224 d521fe3c61dad43d7365a5b8dba61a9f8b8767c47ee6372b15fc4d23
blikimore sha512/256 f390c8ef693c830ee0e754d05537f90c25c7180f2c061d344309089a91eba3e2
blikimore sha512 e97eecdb9938cbcee04da8c258c661d5e078ef0a5d4dc7880dd32fa46c07c791e83e47a5d1dead0fb990309c4109519013eaca0c86e98219381e857940c0f2d2
blikimore sha3-224 08ff11932874e6d5cce0f6b8def25ab7372a4aa3791b723a1f3e93cf
blikimore sha3-256 390d540f10d763de2aba0bd6069e5cfd89ecc0e4cb5b659d5be6d980163ebc4e
blikimore sha3-384 ddb67c691f9eef663562ca43fbe27d5a7dd2cca73729d3920869882318a70832bc7dcf0f1e32c05988a402b1fb25a994
blikimore sha3-512 cf3c4d53354193553d0a9954869011a031594402566b489cd1c53782dc177c38010c7800f9441253a853002478c432b66a92dfe38ab11c756567fed408dec8de
blikimore ripemd128 f9e43753a7dd4a2666a4322a97747a93
blikimore ripemd160 13f3079e54a694a77de8fa1480ad2d9dc6e57b0d
blikimore ripemd256 7a438d4461640354284589011975a3b01ffffe0be0234f49c85e863b46433752
blikimore ripemd320 42376fe62499936a052ccc245f6762921d2234e55c53da77199d35723b5781853b9781be6f03fd83
blikimore whirlpool 9fb5282cc0f04708ad01d468ba14f225852b715ed39be1b38c3ff41a4f66f405e4a6f32f237697825c87f5f730153701a6b59a258918b4e56ec2b94009a1e87e
blikimore tiger128,3 9e1dbfe9c84e9ed5cd53c88b09883273
blikimore tiger160,3 9e1dbfe9c84e9ed5cd53c88b0988327334f6a4a2
blikimore tiger192,3 9e1dbfe9c84e9ed5cd53c88b0988327334f6a4a2215e7615
blikimore tiger128,4 7636f78d0514da9cb55ab8f6abb83391
blikimore tiger160,4 7636f78d0514da9cb55ab8f6abb83391d388eaff
blikimore tiger192,4 7636f78d0514da9cb55ab8f6abb83391d388eaff879eebef
blikimore snefru 776c273548e8dbc74a15f16ec0433734c18f93fa38c5259acce634aa49a8287c
blikimore snefru256 776c273548e8dbc74a15f16ec0433734c18f93fa38c5259acce634aa49a8287c
blikimore gost 1acd2aeed4fd36d9b191ec8b9a602e242c8664370c42ec5342cda1fce82d72a7
blikimore gost-crypto 2c97553b5e279b772f56e1936b1a022953c3242f63459fa76acf49e674fb35b3
blikimore adler32 129303bf
blikimore crc32 63a004f4
blikimore crc32b 51f1c68b
blikimore fnv132 d0b64b5b
blikimore fnv1a32 a637ade3
blikimore fnv164 ec038f36dedf4bdb
blikimore fnv1a64 ca9232d74e0430a3
blikimore joaat c066e12f
blikimore haval128,3 6991d5fb9c6516db564329cfd87f7f3b
blikimore haval160,3 308b0622a8da3046880dcc9f8693a34a4c16c7fa
blikimore haval192,3 6068f7069774512d6e2fca7d29175c906f5241351c38c41a
blikimore haval224,3 4db814b490b66c610080e0f152a96d41e284789eb5603746cd9dfd48
blikimore haval256,3 5f19440686135d481bd854e6554b86f3be6b4203c247c64260093ec07fc913e9
blikimore haval128,4 d3f25c486d68e12459a17d4fac727aad
blikimore haval160,4 5988f5157f6a2490ea7e30360f440bc72d3644f8
blikimore haval192,4 4a86b7e5e9020149e39f3d63af0e3e22bd9de5b4e0095145
blikimore haval224,4 b449519e9c95838164d61d58ac7bc1a4575ef70f759044cef8eb4584
blikimore haval256,4 e78e95a2f1f40879dd166730571e9ad7ed2047e131b1b85dfd1838202ad794d4
blikimore haval128,5 a3b5e137273735f0fd681069730dcbc0
blikimore haval160,5 b516cc526a24624cea55baa217cf1d5c4bbcf3be
blikimore haval192,5 dd0655959b9a9dd9de7cf77dee89e58a38bac400971cad87
blikimore haval224,5 501edea111bcb7cf1add48dc1fa44589ad132debf0ebb3ce1ef8741f
blikimore haval256,5 d0a2a570a5dab96d9539ec3f37ea21c370350727b3348f7159a5903f583b144e

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.