Result for 20E126304D29D67E36D1717764E3D71DE442673A

Query result

Key Value
FileName./usr/bin/hdiff
FileSize496496
MD5103D68235AD9AE796220D1AED628C711
SHA-120E126304D29D67E36D1717764E3D71DE442673A
SHA-256D694522A174EB32D52B004ACD669A286899431D5A50D9C82E5EF492DF6138D36
SSDEEP6144:j2tLms0Zo3RaJxrN/jGl41F/6DTrJKVtViAmifjaaa5bjo1vJQ2ZsTmexVlKVwM9:ytLmse/rH7Wn5bjdTmEMth8tpHGhbx
TLSHT133B40752F8D1EB52C1D63176F34D8398321367F8D2CA710B8D14A7393EDB8EA1A3A519
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
MD53745E86A201C92289AD6EFED14B6E384
PackageArcharmv7hl
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.
PackageMaintainerFedora Project
PackageNamehdf
PackageRelease1.fc19
PackageVersion4.2.9
SHA-15B8BDE57D02A6EFD95C3A9A4706C1003962B0D52
SHA-25626EBBB3A84D225FEF1AE607D56477FA933489CE38EFC98D2969AF42A17D669BB