Result for 0E4BAEFEDE4E6056E41E145A4C6AA9F1AFAF3AB0

Query result

Key Value
FileName./usr/bin/hdf8to24
FileSize408024
MD59CEE7D59EE396B21FE009CF9DCC84860
SHA-10E4BAEFEDE4E6056E41E145A4C6AA9F1AFAF3AB0
SHA-2565054DCA8792E2A7903FEA110CC80C3CFD7B423AE10329DCC28D5F6126027F06B
SSDEEP12288:HVs6yqTdDkHKAmGFy40kX3WrfWP7p9JHHZ:dGs40kX3WKP7p/HH
TLSHT137941AA4BF55441BD2500BB1A26B2DF0F37E7452E9B0A80A3709570F19F2A527C6FE87
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
MD5256BFFB07FB3F437EF60CF0073D65118
PackageArchppc64
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-1B7D1F14F933C09EDC90E78203957D9C0FC421031
SHA-2567DF97A236A32D527A95FFF49418A06FF5516650671CFCB6ADF360EC87AEB54EE