Calculate a Hash
Decrypt (search for a match)

Recent Hashes

Value Algorithm Hash
more md5 addec426932e71323700afa1911f8f1c
again md5 639849f6b368019778991b32434354fc
37D3E71FA6EBDF56DB24757AD6A0E48BCDE14CB8073FB110A962CC548000D3DB md5 d0de37d6c39fe5a6db03036ec773f09e
piece there essence favorite vivid sister comic defy march capital penalty hold md5 0c5866bfad3d81e354ce5aa0336b6cbb
15a57c279ebdfea574ad1ff91eb6ef0 md5 cecbee57d8dc8e7fcfebc514368a78eb
$bitcoin$96$3fa8554bcc7f1adb4dee43327a2680be93112f8c11e9cbff7561038eddf258827dd38c72354695fc70d4a01102d22c48$16$14bff2455913f62$25000$96$ad32dfdce53d6c1c7beb7c25f6c2a2730dc136201fe2423f57745743a5d78711b25c0c49c05092af9b8af506da74d066$130$04ffc8348b3538d3a865c4c0c359a7b4eefa687f2ecffda0aa763b58143df7d7ee7cbdbd62ce9fe6608e6c959c406cee192e35a4838e4f2f923d417ff09d0fd6ad md5 a58fe65bd9bfe5a1d5f06e3e19bb3b55
Gdipit bt 15 ixbth! md5 1641b1135d376c19e13c65461b762fc3
Лох md5 16c9df9adb5f88b43514a095965070c0
ghgh md5 2b287ba353732ca25cc95a4222017921
Queen md5 2c2d2c0291163b077a372c2a9c5a6eda
5f5bb8ea8c8b4ccc02d646565991129d9b9abbbea31e6ea734746b4df0c1eae5 md5 6abadd24cdf97fd5bfa42d363000fbcf
f7443f41477cab2ea69928424a404aaa0b10357113f9532c5d5020fec5febdea md5 2cdbcce30cdbdd8934aeb359fcd28155
69ffe49831dc34a08c6e3da111ae674fc783ac4b101556f28ea9ee4e78599fe2 md5 f28d6684ec7cb7da115430ab38946904
硇䍁䍁愰橆呷桏搸杇䱣兌䩍桁䱳䉁乙䑂啯䉈㡣睃䉯 md5 63992606a599a6fede14ad97f1ff82dc
483045022020c98be9b8f984ead3dc12c7b63f190b0e6dcbb67c0fb903bcb3ceabfc749dcd022100c7f634f55469568c085d8fa12646e595a0cfb47fe30e0fafc32d8dac846f3254014104139279db871f5c8834a30a6863a71233b2abe283fd1a556c2a7902f1d9d5273d05747a9352785441bc8fe8f81f2998ef9c5cbce054172ff6405bcb140774aeb2 md5 7b25255bb153dccc0c6544178f4150ef
GxACAC0aFjwTCxsHHRUXLRgLDAULKwMZEQwcBwAbBg== md5 720a0f86e047d3a2eaf2dae04f395999
HDWxgQei5T4vKx0gJ+s6qj9ZLBbFps8kgdOYmfczhMZwUO1Em8byfWOW4Sj/ByW9WDpdngbCHYPQM6CQEYFM0RM= md5 6f8306ed55f2bc122c42fd8d3f0b8cea
8c1dd5c4ba9ab161e6a9a7567aa168ce md5 b7fcff377298c9ab3acffdc04b8bc070
here_is_a_known_plaintext_for_you md5 ba95d8413bbde6a069e5933d58f1b643
GxACAC0aFjwTOh8dGgcLLQMJAhsLABYNBDoUHBc8CwoB md5 34cfcabd9f335b6f0c8323c697c7360e

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.