Result for 043AADCC12195A7B5CBAC6BA2D7265B6C06F6435

Query result

Key Value
FileName./usr/bin/gif2hdf
FileSize473928
MD5D7E59BE90072C5B9FA4D97C2AEAB0D61
SHA-1043AADCC12195A7B5CBAC6BA2D7265B6C06F6435
SHA-25631E76CBD2CDF07D968415A5049D404C4737706D2DA1EB1C261D4154BA23E7017
SSDEEP6144:PE2Ye9RJjjepFlKC4h/rudBe3gCAZ2s+Y5KAxg4yNVNVF9PaOYqxvMzT3ksH25Qx:/RQbZENVDrYxDHMU
TLSHT1EBA40961FF55901BC2D40BB0A63B6DF4F37E34518AB4E80A3705570B1AB19A26C6FE87
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