Calculate a Hash
Decrypt (search for a match)

Recent Hashes

Value Algorithm Hash
xVZLQ5QWskWzbWh5uGzxHr0UEg/EZ/MfsxQTdrh69xe6ZhwFzWXxF70RHwzMY/UfuhscBc1l8Re9ER8M0Gb7FbgRFgfIZfgg utq0y68if50= md5 c6f867594d80287f806d03ab52022ddf
0000000069e244f73d78e8fd29ba2fd2ed618bd6fa2ee92559f542fdb26e7c1d md5 00da8cf588ed51146e1cb80902d5dc6f
ты пидор md5 7c217d7b1444ee1a3d6b81ff1f0b50eb
5622588 md5 46d8855b963684fcb2fd110383893696
4c1db1781ba8faebbb01c0f68cdb99410a68ba87 md5 e607420df238878ed4d7a0868ba97752
17wTvhgvd3AMAzUGutCV8J9MCyBpYwBK8W md5 4a74bf0ea697cba0be22ac3536973e4c
8b86b md5 a6f4b18d6486cb3d634f8bd36b100d62
system md5 54b53072540eeeb8f8e9343e71f28176
0x61881817EEC18D8F0CBDAEFEA6B4DBC5E3A1F4A8714CC63C84BEAB5425C253C3C91155D23659A8CAD0BA39850EE40FA993FE9BE51D1A2322D7D30E7E94C0F49379FD91824A715CA4FB78D211B3D09AB33966C7C1A60C6ACC0C55E2BD667E1EDE8996387EE7831EB89A7BEA903A1CB1B5 md5 d21dd762f1f33594a35a784e45b7f9f6
CA2C70BC13298C5109EE0CB342D014906E6365249005FD4BEEE6F01AEE44EDB531231E98B50BF6810DE6CF687882B09 320FDD5F6375D1F2DEBD966FBF8D03EFA md5 1835574dd85aaf14584bcddc40b195e0
4000000000000000...7fffffffffffffff md5 a8ed0f037668eab5aa57b3346c5bfb52
7fffffffffffffff md5 2aab8b0f5934b42375717430bba0aa17
0.063 md5 e43f90c8ec7061ebe4ab2c8350392fb0
0.06300000 md5 d29d0d7e8f6da42bc8ec9e04dcdf3712
0.01800000 md5 280fbd1e4ca1c9edff1b994099a1c4ae
0rlanio md5 2903f4dcc0b9011ca9092c121f71b83d
0rlani0 md5 21ad89fee260525776d2bf69214ceb12
orlani0 md5 e0890f89ed4c11dec983a7009783a292
orlanio md5 9609d632091e66fb0160de418aee7e7b
zoran md5 164fbd36e1675fd411e65c80a29555c0

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.