Result for 349DB6E8EA602B17695A23D89CFF3E6D4A2C6B9E

Query result

Key Value
FileName./usr/bin/hdfimport
FileSize467344
MD5EEAEAFD5FAB20051365D8108B1DE78CA
SHA-1349DB6E8EA602B17695A23D89CFF3E6D4A2C6B9E
SHA-2563CBCADE9128C4945B3247F555987EB0463C132B199AB4BA31540EB4EC40A93FB
SSDEEP6144:CcfAI7BoxpHsn8jVS+HuYokgXscCaMgBRHxdIP+Q6NcZbazLM4seVHGQ9QTOmeIJ:Cc/Bic7+55xaMeH7sukGUHVYTjM
TLSHT11CA43B04366B1443D2A71EF1263F37E6CB3EC48B11F9F849319AA61526F5EB69047BC8
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
MD5E82CAF1C91D71775BBAEB12F04A9E908
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.fc15
PackageVersion4.2.5
SHA-1A5D7F4C92F2480089503AE8C444B98E0612B87B1
SHA-25651D8FA465EF43ED410C8A82EE4F462C542E16BE827BDEB3DE47CF3210702584B