Calculate a Hash
Decrypt (search for a match)

Recent Hashes

Value Algorithm Hash
Sir Robin md5 4a43bc6483ec39f71aae7375b70c3656
caca md5 d2104a400c7f629a197f33bb33fe80c0
c3fcd3d76192e4007dfb496cca67e13b00000000000000000000000000000000 md5 4f851c74b873b6a034baa6374b358c59
1AWUGxo6GszthndfxrejDpFneRpBk3aKTG md5 dc5e275f1ff775d2ce14577e48e1f37d
76a914592fc3990026334c8c6fb2b9da457179cdb5c68888ac md5 c09f3e7c6b8b90d455fb713f661b53e4
020512f3b5a997d30cddfff629df9796576af842be2eb4bf37f7ce2f8677a881a4 md5 de1269dd62f9643cd5728e6be53b4053
af5c204a929883f29f91e6514d7dafbaced4b999dfce960299dec1c3d7426eb353f7cea883c0f2749644508d0516cec6 md5 38851de4f6e0458a6e0c06751381f366
003EE4133D991F52FDF6A25C9834E0745AC74248A4 md5 4309da8204cf6cc9f6acbbb0f15e7478
Alejandro md5 78e2e2bc08d818511306346dfb97389c
M3 md5 f1c6eb6f4e48eb34ab40b2987d4976a8
hellohellohello md5 99fb31087791f6317ad7c6da1433f172
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 md5 877504e84efb582b8ce5a76d5238e298
YUhCemQzTWdhM055ZG5BZ1ptRnRjbmdnWTJac2IyNGdaSHBxZUdNZ1kzVjBaV01nYlhOMWQyZ2daV1ZoZFhvZ2VtSnNhMnNnWm5CbmNYQWdZWEJtWjJnZ2QybHlhM01nYlhWa2FuZ2dZWHBoYzNrZ1lYQm5iWElnYUdwblltUWdlWHBxYVcwZ2NIaDFkbW9nZVdodWJtZ2diV3BxY0djZ2FnPT0 md5 776351e092a54058d7370566969fc49d
dog md5 06d80eb0c50b49a509b49f2424e8c805
359043673790534608485696094103476662778304964191 md5 1a7442f7e5359e5254909a15dea9eb1c
3EE4133D991F5123FFCE6260AD4ABDBAD280A65F md5 ba13ea554a8e50b7970f4a4c29467e0d
flag{tengo_esta_clave_entre_mis_papeles} md5 aa1b820ed5c6b3a53e259b83f790d37c
59556843656d517a545764684d3035355a4735425a md5 a720f06f0a1d9bf9d9ec88f1c7da7547
4c275b0cd7a64d463ced3a8060d29b93 md5 338346b24a88fd18b40d02958d4585e6
asdfghjkl md5 c44a471bd78cc6c2fea32b9fe028d30a

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.