Result for 0A869F4E0AC4FE11C8E094E552B82634EB1CAA01

Query result

Key Value
FileName./usr/bin/vmake
FileSize330160
MD554BCA2921C6F8AD4F87757E584345A8A
SHA-10A869F4E0AC4FE11C8E094E552B82634EB1CAA01
SHA-256E73B809550FC1976BAB41063D284A881084FDB05BF4A1216168C9E5049BE6667
SSDEEP3072:SwUn8rPsiVAJR6mvKgLnnwyYHkz+PTEbloOqaAkkR2HOQgEZiD0c7Oe7UsK/M+WV:SPnTKmvKOn5W4bFqtEZiVkpnWpH0Z0
TLSHT179641C543E2A0187D2919FF0233F53EAEB2A785210B4A5553357A31B27F2FB6601BBC5
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
MD5A2625D59DF66E07DD1B29F2C2F67C8D8
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
PackageRelease2.fc17
PackageVersion4.2.7
SHA-19B89C7CC85B575460BB4CADD22ABC026E627DED0
SHA-25605C2591E39CF69FB227DEF06302F876E25988CA6AA6A783B2A23E4729F4E6DE6