Result for 110F467669C3D8BEEB2661C2293BEDE49EBFFBA9

Query result

Key Value
FileName./usr/bin/vshow
FileSize407600
MD51F7196B173FAF940123D8DD25C5C9710
SHA-1110F467669C3D8BEEB2661C2293BEDE49EBFFBA9
SHA-256A2162D878BFBBC67EC2350773B53EC9DFF906BEEED1EB7B0DBF98D68319FE9D9
SSDEEP6144:op8bHwKGhN4+7Mf4ExJw6ss4a/waL2kskKV9EE8KzK9xaeDEHxhQfbn2Kj:opNBY4ExJwJkqD8x+HE
TLSHT15A842A64BF554417C3900AB5A22B2DF4F37D3821AAB0651A3B45570B1AF2E527C2FF8B
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
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