Calculate a Hash
Decrypt (search for a match)

Recent Hashes

Value Algorithm Hash
[email protected] md5 df83f93dda47d8536ff4f37ba9d4cc2b
[email protected] md5 513ec1c0ee3797842bb333c9477a372d
[email protected] md5 f518f6c91c681810de80e84708982490
Bitcoin one love md5 1c4b895eb2a9a092210071a0b15712ed
1HLoD9E4SDFFPDiYfNYnkBLQ85Y51J3Zb1 md5 42b3a6525aaa5a3ad3f0067adb7627dc
bc1qyy30guv6m5ez7ntj0ayr08u23w3k5s8vg3elmxdzlh8a3xskupyqn2lp5w md5 6bb1f0800a63123438a73a24e7960952
coin md5 96a9519b8fddd17e8cc4bba0408ffffd
efeff851c1aac9da4ae0dae929008637c0077ebe md5 c662f761e6818c3e5ee6e94998a4374e
f0ef639cd01bb26805c190e0aeba006fbdd6b817e0b6634b0fb11944bc0f19ebd2542bb38e0ee06100012bd1 md5 083725399a13bcd0150aab245f6f9874
5ca2aa845c8cd5ace6b016841f100d82 md5 1f2d071ae33689ddbf65589e7d265acf
90cb5ff465c106774ce889becef907a1de22ad0b66cbd54e68adbcac2c91fda0 md5 5f43c8fe5f53889d702dac73b6eea4a1
04d6597d465408e6e11264c116dd98b539740e802dc756d7eb88741696e20dfe7d3588695d2e7ad23cbf0aa056d42afada63036d66a1d9b97070dd6bc0c87ceb0d md5 e190cd5c80c12f6b196b066d90c97c25
c1ef27234316b812af15624f75b226b50e7eb02e055423235880b53cd3df2ad7 md5 d525237f5f4b1e6f1de146a274a2fd35
02CEB6CBBCDBDF5EF7150682150F4CE2C6F4807B349827DCDBDD1F2EFA885A2630 md5 d1af312d129c35754fa6182f8964b6ef
17e4e323cfbc68d7f0071cad09364e8193eedf8fefbcbd8a21b4b65717a4b3d3 md5 c5838ba782f1e9e4bd5e0a996b0e30b6
64d3eb4e564a90dfbd8796f930b34056 md5 9c7c0ab19daba64429b590928e19f0ae
pasword1 md5 b1d525b521eb566a5a8f1733fb7622c2
1MNagJqYUsWBD47QbsebCT2Lt7GwZtjkg md5 7eccbfe363a4960703e00fa2a744ece5
spuffyffet md5 932600216b755017b7fc8630b07ec1a1
36bd55884aa8d79909ab49d3bbeb9cc2 md5 1cab349ae9ea49c349a1ba79fad91643

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.