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Recent Hashes

Value Algorithm Hash
2d04b4997990acca92df007800242551 md5 19a09be2bf155674319c2fcb66c886a2
2d847d3fe8ac218f385e04deefca0db5 md5 2d04b4997990acca92df007800242551
5c98819a7d66672f8689e264c98a751b md5 2d847d3fe8ac218f385e04deefca0db5
5fd8f685d29a6176242c196908ad3b43 md5 5c98819a7d66672f8689e264c98a751b
lollolA1 md5 4c339b0a924dcbedd4a4d55ae69a2c94
6acd1369 md5 159827206b4e418f04b338779a3af0d3
6762774 md5 a9be18da5e14ad92dfe4066740a967d6
CRC-16 md5 0b604057c072076f8ed0eb574f5f4992
kemzu nczvo wczyt nwsmk mqxny rlhhk cacus xetet qirqu rqbst jjtdo fddwn nwchs rvbsg md5 0cea61c6ccf2f15652b65bf04ac24f0f
nmdzx ceisq qxnkq yoqls jfmnw qujds meuuy hanix qrvqp uuypj udxeg nulpc uhvbh oigpj senhg hfcro plgpa tvhvc mpjaf gnwvp iovir gnuey xcjvz rqiyi ashdi qdwpa xrlib sjrbc jmjhm hqhcy usdfi micmd mzvqu ozqkf oqkko sccnw tfkoi grjvo jj md5 581472786231f5eac0b9a4ab3ab6875c
Ax8VCB4HEAAGDDMEBRERPhENAh8DLQQcEQERMAgaBjERAhwEGgADHA== md5 5fd8f685d29a6176242c196908ad3b43
YUhCemQzTWdhM055ZG5BZ1ptRnRjbmdnWTJac2IyNGdaSHBxZUdNZ1kzVjBaV01nYlhOMWQyZ2daV1ZoZFhvZ2VtSnNhMnNnWm5CbmNYQWdZWEJtWjJnZ2QybHlhM01nYlhWa2FuZ2dZWHBoYzNrZ1lYQm5iWElnYUdwblltUWdlWHBxYVcwZ2NIaDFkbW9nZVdodWJtZ2diV3BxY0djZ2FnPT0= md5 bd69d1d5ad378b35ddc246d54a195f22
7jTfFnC6NQb79wyQq2p7RiCkQ3smwwtMTATdKVe8H3XTo3YR7c6To8QkLgH7U2Qqdm md5 03b196fd8eb3059882895a98ed408530
$bitcoin$64$5b2f6e4398004a207eea181b9db111971ab9749c19451a5f0926d1000d70b682$16$d72f084441487b68$25000$2$00$2$00 md5 ea840385dfc8019bc9064311866ddc45
16jY7qL111111111111111111111111111 md5 c5624ad9753e47fed296ef7dbe36d7c1
16d8c2c48e2bbcdba052afd3e1b624e60e564688ff4195dcd80aa9fe md5 0d04cf085366db9f6efc5c8d0fc94caf
GPaTXxfFmpCQGksGm83FGNv3YEoXGNZUEg md5 2b4d14bb3c400dda75ff15192a7bb0b4
443c079b24d65d7fd74392b90c0eac4aab67060c md5 98f3663f780ce85ba3e2c96df550be46
76a914ef6419cffd7fad7027994354eb8efae223c2dbe788ac md5 b87a326f7634433a194f19b3f1689ec8
df76f8a1bf23ad076dd0365e md5 7296e56bc3495a46be8f5759a2ce33d3

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.