Calculate a Hash
Decrypt (search for a match)

Recent Hashes

Value Algorithm Hash
md5 01d7aa494b0727f8db77be1d3685de9e
seurt efqve vzaub iytyp uglos vfutt ozyry keekc bdsux kqmuw knrgt aawvh yfquz uqpwy md5 c6d7c3bd953afd0d8290b558d6b78104
reto4dVCRVRXjcE333GAxaHTYCP8s md5 384d8c4da62600a066c9563647f3e25b
bq cr di ej kw mt os px uz gh md5 838540c21428d506e6fefd388d61c28c
md5 58c89562f58fd276f592420068db8c09
0x41321c16cE9d89D926e4A235cA7E4155D22A18AC md5 1bc452db0557b6aedff5d4e387a462a9
0x5A83529ff76Ac5723A87008c4D9B436AD4CA7d28 md5 89db6f69781b6be842e08c0c5599b5a9
98f3663f780ce85ba3e2c96df550be46 md5 1aa60f6ae8d9691c42b13057d06d392c
Ax8VCB4HEAAGDDMEBRERPhENAh8DLQQcEQERMAgaBjERAhwEGgADHA md5 fedaa1fd64c06203c4a1ce740ada6e22
kaka md5 5541c7b5a06c39b267a5efae6628e003
$bitcoin$64$e34e5a02e1d15befc322722565a44142eac064d5f9af66759e23c112379a1946$16$405ada708a64f160$64407$2$00$2$00 md5 d4b27ed57517e45bce24124c11fae9ef
gihhs grqdm ooomw rifoh szbpf pvttm vckzv ldngi pvckg mhojz cwflb gztgx ocqgu ouoll= md5 7f4c89049c4cbfe2d1940b85d4d1243c
JAtMOSYxQSYkIi0mMiE9JDAzJjs2GiQ8JBtMKykiJA0kMikzOyQXADALJjsnGhY3IhQ1Ky0ySFM= md5 b85931e000134ab5c048cca8be1e866a
pryIvv5p5yRvdf2dXdeqb4BaryP0HSF0gDkOHjr1s4OV3dYIiff3n8lWDNtMkHlgwwrWT4Ixer2egRfg7pbD5Q== md5 9690bb4ec1bc296fe47d34ac83b3c624
83d82a74a67aebdecd3846a42bc5235254fb77f8da9a189bf49c321f450dcccd md5 2ba7d89ec32085020edc54439f27c525
SHA-256 md5 7dcd62e00bddef0a9ef76c9e135e7abb
Keccak-384 md5 8d914e0e7cee90d8017de9633d2caa20
ac227471e7c0e781439d97bc6081d83a md5 b4e19eb75eefcf11c56c386cd1b5cc39
94292b1afd3bb50741b2790ca90fc234 md5 ac227471e7c0e781439d97bc6081d83a
19a09be2bf155674319c2fcb66c886a2 md5 94292b1afd3bb50741b2790ca90fc234

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.