Calculate a Hash
Decrypt (search for a match)

Recent Hashes

Value Algorithm Hash
0800fc577294c34e0b28ad2839435945 md5 36bd55884aa8d79909ab49d3bbeb9cc2
0192023a7bbd73250516f069df18b500 md5 0c909a141f1f2c0a1cb602b0b2d7d050
$2y$10$8wY63GX/y9Bq780GBMpxCesV9n1H6WyCqcA2hNy2uhC59hEnOpNaS md5 64d3eb4e564a90dfbd8796f930b34056
[email protected] md5 64e1b8d34f425d19e1ee2ea7236d3028
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 md5 e93d9cb85887d17c05f6439c7b4f3876
d7f630dce9c835e08dd3c9517ed677ea23b7d50d006dbd242e5c75a9ceb610a1 md5 9c73b552a4765d4d06b1d764201d328b
0xE01f58d455a7C1F612DD085deB8d9b02276e4e8D md5 c99da1d587d7309dc357a48db5a16936
03137807790ea7dc6e97901c2bc87411f45ed74a5629315c4e4b03a0a102250c49 md5 a55081b8549a4114a575e2196e8c0b77
0x0E69D0A2bbB30aBcB7e5CfEA0E4FDe19C00A8d47 md5 be54b4987a99ef3cd380cfaaa28933df
a71f8777dbc5f5afd95d5f47582d169f md5 8b72531bb53f89eb5ce0c68387dba639
1DgpAqPr9mXvpcSujKjjHtxaW7y md5 7978b6695e2cb2080ff10b659cdc408c
275a021bbfb6489e54d471899f7db9d1663fc695ec2fe2a2c4538aabf651fdf0decrypt SNEFRU256 275a021bbfb6489e54d471899f7db9d1663fc695ec2fe2a2c4538aabf651fdf0 md5 d1e6d3af42648a6e3749260ea51bdd82
9e8ea5f61acf42e2b1905fbbf1bc1772 md5 aca7a8adca556fbbe034c217cff138b7
3FrM1He2ZDbsSKmYpEZQNGjFTLMgCZZkaf md5 ed6b71a404e431805694277d43887e01
84592a6eb7f9e06301bc161f93f5344e6124d1d6bbf081b5f008839ad49533e3 md5 058ffdff3e5f76994bb222ab61f70b5a
30f497d056966b2aa81caa94d1e27c40 md5 a0a1087a12442a69fc687609b4ae2309
$bitcoin$64$ md5 a8ae1ec89cf77264defa322344bc2faf
64673cc31d531863d4f1aaf2072b367d md5 c7ae036c9016d81617b638aa3460d6fe
d88dc699ff0ca2d2acd740bea8549465f0f9690e4ea27b6a0e337975848deb30 md5 e5747e05a61eff86b21d3395da542bcc
89705493e597d21f7bb70cf2902affa0ebcf27e6 md5 eff20bb750e5e8338833cf12025e3b49

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.