Calculate a Hash
Decrypt (search for a match)

Recent Hashes

Value Algorithm Hash
q md5 7694f4a66316e53c8cdd9d9954bd611d
ff4eb1d017921e0c7023da7e17aa72bd5f11f9025c844865665932125f79f465$16$6b8207637fc796a0$37698$2$00$2$00 md5 0caf0360523a892a323b637963f84efd
000000000000000000002c9a2d165d0e061916411c77f2bcce5ba754234c9900 md5 8a8a34ad2474a9c7d8eabb83f7cb67bb
examplesnefru256 md5 5f88439d25ca6638d99bd96b4db1631f
snefru256 md5 a6fc630c71a289696e7ae619270e0333
fd7155b5ba911d3b3bd4954f2a0b9b02 md5 91a4923f522f57e084ef0d740698cde5
pepe tienen un tractor amarillo md5 8a73ffcf7a6a821dd0c53c041c6cad25 md5 e7965fb6d786c531068ad5b3eb364ec9
1a2d5a7e97dd7ff70bd722cfb09370fa md5 67ff09409064844cac2b3809d199564a
d6316a4d md5 a785b188ca516811d0edc80d52c706b1
f1c71000 md5 7e638bae36c541358346074ef0400f5a
000000009ca75733b4cf527fe193b919201a2ed38c9e147a5665fdfade551f4d md5 2cd0b1f94977097efe1cabb175526d73
00000000839a8e6886ab5951d76f411475428afc90947ee320161bbf18eb6048 md5 86ea983ccc0ae2435cf0f8d24002964f
9898f81b1be68545fdeb53e1fe68cbde06fad9e1 md5 154345eea12c10af7973c1334045dc93
1HNfUBm7eaZBUzYncpM3CJd1AFGtU6MoE7 md5 8f1ca7146f36399a7821ebb6a6dd2098
f22f5563839ba6ba5aa8d3726fcbc675cb3e4c9e md5 42ea306c51df5f06919034d7ca3c9412
240949337766372996120503680457376832841822121295 md5 589a60d44a3e810062ad4b639c6ce975
441499060671412761702184470169806186518769945116 md5 91110ac9b00d5041c550c37c67a72159
4d5580a9480f15b4fbed8238d749bc6e74c1ca1c md5 e7d222fee8a3af53ad33664fe86152af
c607bfd1ae32949ca999b9a3de142dac4f66060b md5 cf531b138817032b8b4a7207cb81bb19

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.