Result for 3FA1A2788BE38E2E89CF5A044D8CC74AB06C1775

Query result

Key Value
FileName./usr/bin/vshow
FileSize402288
MD5417B80011536943C35A3C688BCECEA84
SHA-13FA1A2788BE38E2E89CF5A044D8CC74AB06C1775
SHA-2560048B524A9AD251785D4813F34641B25C72AB10B324BF0FB8699AB0EAEA58971
SSDEEP3072:c/hBZncm3Q2wFRfYx6DkUwkYCYnxBTduq51d6KVu3bxlyTK37BoEH0dDsweAHWqM:2ZndQcx6D9JOMEd6KPTKWtqAHWqmseT
TLSHT18B842C553E2B0287D2916FF0233F53EBAB2AB85251B4E4453356631B27F2FB1601BB85
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
MD5854EB4F26CF7A705E947BE98945AE96C
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
PackageRelease3.fc19
PackageVersion4.2.8
SHA-17F0879750C7294FF61A7A66A82D9CE6B9402ECD2
SHA-256540E302B8D72A32DE4310EF4BA837B0763DE4362D9DFABD6F4AA58B5F0EC4057