Result for 42CA8740EB666AD33A6EC536B65F86A9CEC0FB9D

Query result

Key Value
FileName./usr/bin/paltohdf
FileSize301744
MD5D29DE609717F4B81F53C2AF47BD967DA
SHA-142CA8740EB666AD33A6EC536B65F86A9CEC0FB9D
SHA-2568212DB00A4EE09BD1B29767F7086353C5865C78B77DCFDE3768C9FD692923F14
SSDEEP6144:Jp0ES4rk2JkukIcNMULhLcrBhZJo+GuqUJ0x30qN:hS1LFNMULCrlJxGuqUJy30
TLSHT12E54C89DA530E997D0707832D13BBAA3576B75721E4DA16C9BE9CB270CE2308970533B
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
MD560FD88D05DEE43C9E945A708795CDF01
PackageArchs390x
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
PackageRelease3.fc15
PackageVersion4.2.5
SHA-1AE5225E78B150CDD1BC53A3493195133B5008E22
SHA-25649400305C9917CAF38934A86C9BDE2959F97662A7263EE01E0B48171A378C1D3