Calculate a Hash
Decrypt (search for a match)

Hash Result

Value Algorithm Hash
simmson56 md2 06b961ec7027d14085c983e4e4fabdee
simmson56 md4 770a31fb212d4b6f10ffd2a9401978b1
simmson56 md5 b38c26e8dc9e6939a59a977807b9c6e5
simmson56 sha1 b1f3f9c9514f1184950dfd2ebce6505ff951386b
simmson56 sha224 19a84bdfcb6f27d615ade9f69c144e7687dd4a02d899f49a50312c04
simmson56 sha256 85d0d5d8a9298e2f7651ca112613c442f3b32d0bc8e5d7dddcd4cfc2d649b3fe
simmson56 sha384 39d7704261a6fa3bbdd6906f7462b0046607e0708caf704d4e8a41396865b4c69c022331eb791de243d699bd9dd80937
simmson56 sha512/224 b5f0b95029bdaabcee0135f3b61c196dec28191220e2b9bd4035eb74
simmson56 sha512/256 587137a27f139c5aea23c1b81ec11bcf61842443a5146e228fa7a4467d321ece
simmson56 sha512 2653945145b49662d8d14b5cc9c47929052aebceb746c80fb4a95c4c86da8e6424778caa354347f858de935f8088773decdcb0a5c9e707061a145a12b0808020
simmson56 sha3-224 5846ebf157fe3afb7c6ef86e91da4f1bd40beba063c84b330c260be2
simmson56 sha3-256 b79a3c28fccce2658a427f3fbf2ae8d147d6724a3e0dd876e285d20ca2837b08
simmson56 sha3-384 4b6091eab3ff9dbb7bf10e3917c135d3fbfd4e59299eee2be0ffb5bdcecc3e95e2098bbd2efc0e7a1120252177c31e0c
simmson56 sha3-512 07608216dc580a93596968f13dd3351c41abcaf0f5f10e7661446480aa98ea256592f28b89720bc73eb7de5c62bb03bc35bdd93f8245a043223dffb6132e5749
simmson56 ripemd128 e5eddf5a8337c9c25e20760586fbf9b3
simmson56 ripemd160 dd808b18a91d4dfe009956e68e277f1df7806783
simmson56 ripemd256 15cdf800a41c07d0bb43a199e79251f6e1464d5121bb0fd27f663c516a362901
simmson56 ripemd320 bf81775bc598e9c45b0a6e75694e48a3f8abccda9eaa8421036537796f25d15274052a708d4bf1d8
simmson56 whirlpool f17c7c15306d80212fc7430a6f318ce864904ccfe19ffd35f9a4c5ad4564ed0cb782ca5534165a90e1d9fc8c76ca970b16e1553d59de591b900a2debcf5af701
simmson56 tiger128,3 8139c8b3e2cd2cd8adf33bdc020c4b9c
simmson56 tiger160,3 8139c8b3e2cd2cd8adf33bdc020c4b9cb0e40e0b
simmson56 tiger192,3 8139c8b3e2cd2cd8adf33bdc020c4b9cb0e40e0bd069539f
simmson56 tiger128,4 b884be62c57da41ff76a68ccbab4be2b
simmson56 tiger160,4 b884be62c57da41ff76a68ccbab4be2b228636c0
simmson56 tiger192,4 b884be62c57da41ff76a68ccbab4be2b228636c0cf88bd8e
simmson56 snefru 0156269e4d7daaaa2f276b4a25f3d64b6fcc2598cb5ce3bf764c421b60d4883b
simmson56 snefru256 0156269e4d7daaaa2f276b4a25f3d64b6fcc2598cb5ce3bf764c421b60d4883b
simmson56 gost 2626700449e1427b61754009354e77e594e4b1f27700186e06a3e9b2cf39be35
simmson56 gost-crypto bf424a8bf864997b90e30bc2c7adeb8fae15311fcec6128d3dc8b51fdbfcd50b
simmson56 adler32 12ca0372
simmson56 crc32 c8ec74a2
simmson56 crc32b 4c7dadc0
simmson56 fnv132 13d31550
simmson56 fnv1a32 cfdc9d3e
simmson56 fnv164 0240d072c2a5e890
simmson56 fnv1a64 e5e7478aae02a55e
simmson56 joaat 0b4070ee
simmson56 haval128,3 4e23fa8a6bb5757e190e56c189350335
simmson56 haval160,3 c87639bd129aa84f7327cb47521621219308e5bd
simmson56 haval192,3 c162d4cc0780a4d363f03ea4a7f1a41e984594022ed5ed9e
simmson56 haval224,3 a6f358ca58a059f82733a3e7a1ba8b266d401cbc2c61e314e5f3d5a7
simmson56 haval256,3 2a01312323ba805b382abe2d0acc2e90d288615cc5e726640ea22bcafc6b4df2
simmson56 haval128,4 dbc7bfa15e6db03e768eb16463e6b45f
simmson56 haval160,4 4cf8918c4cb8eaf6d31b549b58d48e9be5a41aee
simmson56 haval192,4 2557b1386f92d9f43c39df58ae0e0dd2e6bd1c14b62be51d
simmson56 haval224,4 35891e3f7b88abfd5feea88cdc34522145bd4d1b06326f8e254e9ac5
simmson56 haval256,4 80617a038db68f309713d7994f3dad7857478bba66c0f184f054c151ee5c9829
simmson56 haval128,5 d5943059f00e901f1fccdb3552126cf8
simmson56 haval160,5 e27340267e8e1c8964ee40853456fa4b6d090269
simmson56 haval192,5 2922d33aa0a350f4b3b4eb182dd00f85769400454e020888
simmson56 haval224,5 9ea5a54c21d1d631dca4794c2ccde74183d6acda4e5d3710ff361d79
simmson56 haval256,5 24e873cb1ab4c4981f4b49306143a76e669c0ff6690af3ed691a21e9b92a2e54

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.