Result for 07E084E794D624BAD3D993DD6CA6DBD6477C63CF

Query result

Key Value
FileName./usr/bin/hdfimport
FileSize609088
MD54931A10F042854B642FA266502115780
SHA-107E084E794D624BAD3D993DD6CA6DBD6477C63CF
SHA-256206B200FF0743F495983BE7AFBF8E546AF626A52DD7AD3A97EC36C52BE08985A
SSDEEP6144:3vbSSRBePMTAYKmApR799M/4YxAiInvEYS8XhEEaOFR4vpdzTApsX5YkimRVF05z:3CPMTAaAbcAiYY8p25U/HvT3r
TLSHT120D42A50BF5E5417C2440BB1E26F2DF4E3BE385299B1550A3B05660B29F2E613C6FE87
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