Result for 0B5B50873D53D8554F7F9C15E114B0E9E211A358

Query result

Key Value
FileName./usr/bin/paltohdf
FileSize337272
MD557A6A0CE29157CC50195B6AF1702C06E
SHA-10B5B50873D53D8554F7F9C15E114B0E9E211A358
SHA-256E17B5948C37DEFC9076E4357165159B502866363A6C595A227AB4AD8C6B0ABBC
SSDEEP6144:bUoDQK/J3ymt/KojO1eKvGT+8fNUc1JAT+LH1CipR5Iw0wy3aSY/cQvHR3jUDz:bUoDQK/J3yjojO11Ga8fNUcwT+LH1CiA
TLSHT198741A4CBEC83E81DFC6C176E24E9771796768ACE356C2633C0AA39D52C7699D6F1200
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
MD52ABDCB998164E9C12C8AF833C100AE8E
PackageArchaarch64
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
PackageRelease2.fc23
PackageVersion4.2.11
SHA-1585770C6C91B4A682E0AAC0D6D0BEB15E0844F01
SHA-256C9B7711960693693A86C60D08CBD9BAB5E50A3A677226C70DCC0DF881AA7A73D