Result for 0285E6E1A18670DA0059776766307E3B2B90FBA0

Query result

Key Value
FileName./usr/bin/hdfunpac
FileSize336384
MD535D9E14555306CF01ED91E03170C2D41
SHA-10285E6E1A18670DA0059776766307E3B2B90FBA0
SHA-256328545771FF96673632EA014F56B11C08462F6F2DF14239C32E0F9168C3E74BA
SSDEEP3072:Bt3PMA1GSgxBtZGJE63qb6Ow6FYjLsoFhj525pgp80eb0NjEeRAwlQI6jWOgmPHP:z3fOpwgUXj8pO3RA29mWHSBm49
TLSHT1B3641B553E2B0147D291AFF0223F53EAAB2A785211B4E4553356A31B27F2FF2601BBC5
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5854EB4F26CF7A705E947BE98945AE96C
PackageArchppc
PackageDescriptionHDF is a general purpose library and file format for storing scientific data. HDF can store two primary objects: datasets and groups. A dataset is essentially a multidimensional array of data elements, and a group is a structure for organizing objects in an HDF file. Using these two basic objects, one can create and store almost any kind of scientific data structure, such as images, arrays of vectors, and structured and unstructured grids. You can also mix and match them in HDF files according to your needs.
PackageMaintainerKoji
PackageNamehdf
PackageRelease3.fc19
PackageVersion4.2.8
SHA-17F0879750C7294FF61A7A66A82D9CE6B9402ECD2
SHA-256540E302B8D72A32DE4310EF4BA837B0763DE4362D9DFABD6F4AA58B5F0EC4057