Calculate a Hash
Decrypt (search for a match)

Hash Result

Value Algorithm Hash
ortspoon md2 f157bb0f4aaa95afe4c4d7d1ba404914
ortspoon md4 c367ae901cb1b04819e12f892b87e58c
ortspoon md5 a95f6501960c33ee0be25b1ecf6898a0
ortspoon sha1 7772c72b96307929f6f7a07644389571e2bb04f6
ortspoon sha224 0656c2a011c213671b2f59532bc42b9a70a4ef875261685b9364b4ac
ortspoon sha256 a0a5b1abc0675c353ec97bc7aa4874ed4f7ebb954be9ccbb8bce7d1719307449
ortspoon sha384 ebc49fd5f54a4661b943a6fb6ca9bb664daea580dd5d6823cedd1c6c5eede575888760118e05d3e081e12b5f275ef66a
ortspoon sha512/224 7f2fe78329e2ee8cad419f554ddb50752f0f9689d4c57fd3ecfe1ee9
ortspoon sha512/256 d9550762f278f3ad33596cdc9dc6d287c6143c1ffe6cf3fbae7a837957854bfb
ortspoon sha512 50372640607654a686c66e2d75bb257fc47dd579df7e61d7ed8e85bd5b8d186ace027fe34abb78c685b22a657e7264a6ac876f90b7575d8a3598bf79d17c5e8c
ortspoon sha3-224 74f9e2fe1fa6fa6603c9d1829e9572554f27c9ad087ceebd712a1d24
ortspoon sha3-256 2e595b9e6dc7827cbf237c1d1e40bec55bec3451d305ffc705c3d9b6d866fc27
ortspoon sha3-384 cc12f4f9cdb950ce6cd010634be6526ee438093b23eef771980fdfaabc7d73df150a5b5b9166e4a40316fe562d9efc6d
ortspoon sha3-512 c91b368705849ef2eec6a2047aca0dda24600230715c3db217b23764bf95519e1217279ef4289bb5fa6d8c4aea059b7607334405959140384a67440ab126ad35
ortspoon ripemd128 36cd9b7c2b1261a9f47371898d4c6fe1
ortspoon ripemd160 b31493311ebcd9d42c8fe2610dfbe874309853a4
ortspoon ripemd256 246bc6c5c4d466e51fd30a13e1f0136d91efa08d6e820581d979958ac1f3a072
ortspoon ripemd320 d43d99588281bfb8329ca012193aa4de964b08e2e3f749e6364553373c511480c7d086a7e6240303
ortspoon whirlpool 973261c0b7c94fdf3ed2ec212af69eff078e7dd3ce53ab98c9bbfe3995bfdb0ca64b8eb8c28eec11222847c02b5b0c1c400c6451f5344d51fd0eac846545fa85
ortspoon tiger128,3 587b6a35cb1f9daaa819f14da06bbd70
ortspoon tiger160,3 587b6a35cb1f9daaa819f14da06bbd70e2070375
ortspoon tiger192,3 587b6a35cb1f9daaa819f14da06bbd70e2070375d1df16be
ortspoon tiger128,4 5983ed3a4f7568d450c9ba8d539e615f
ortspoon tiger160,4 5983ed3a4f7568d450c9ba8d539e615fcb11cf48
ortspoon tiger192,4 5983ed3a4f7568d450c9ba8d539e615fcb11cf48e4bd9b97
ortspoon snefru 5c0fa2a6a73989e9e6f6384939df770036416061b81b07b9ba3a9dce3ee3b278
ortspoon snefru256 5c0fa2a6a73989e9e6f6384939df770036416061b81b07b9ba3a9dce3ee3b278
ortspoon gost 3a551c09da9a01e9155f6cf916e423a3680911a9b8ea1f992ce813ed91af7ef3
ortspoon gost-crypto 60b439e36deb7b10f550570c83b8b24b4ed0fdcb238f6ee23802001d6def8f5a
ortspoon adler32 0fee0385
ortspoon crc32 91e128f8
ortspoon crc32b 59046e02
ortspoon fnv132 7330c855
ortspoon fnv1a32 3e628735
ortspoon fnv164 5b263d87930b4bb5
ortspoon fnv1a64 f2858b53b7ffac95
ortspoon joaat 5310bfbc
ortspoon haval128,3 4c388af6912f24a16750e6140d793dec
ortspoon haval160,3 e07645fc5e5a40fb2903c94ebe00f5125d10e7c4
ortspoon haval192,3 f61f06c1969f3de57df0ada7a973d84b1300e732f6aabde0
ortspoon haval224,3 86e31d361dd8f529992b7c81f5b1096ffffb8723819aaebffbac51d3
ortspoon haval256,3 f688f28db8793be4b74221a9501fb76e097c6ef3f59069cbcb98decf44b140dd
ortspoon haval128,4 bb7bcb79973232bfd9e5ebdf174d221c
ortspoon haval160,4 efa2f5af7734e45e0357ddfad144c299bc9c80c3
ortspoon haval192,4 446713c1fc902c21126e988e6d6b03771b1fe9321aadfe9e
ortspoon haval224,4 b43ddb36c27d9cf9b2bc06e9bf61c8a9a8100c58569e030b567ca6cd
ortspoon haval256,4 f42f0868385050347ccc0e610d865fa8edef1578df67189490add970e4b68a9b
ortspoon haval128,5 301883ef021e2c7ddd02562efe253bae
ortspoon haval160,5 ceca82d1186c35289f189655acd2ad470c20ee3a
ortspoon haval192,5 1fde59c64c9c8d3932ea990010414139edc70cb96f525c80
ortspoon haval224,5 675a765454154c77eb1bb37f9e6e39d1328869896fb799310d1380b9
ortspoon haval256,5 5db5e28429442d46d6057968023b26d72880f2c0acc86f399f65654bf44abfc2

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.