Result for 09FF2C6C24E7E1E59B3E01B6072BE6A63E84CFB8

Query result

Key Value
FileName./usr/bin/paltohdf
FileSize337888
MD581FF954BE4C4C1C0709F92846463E7FD
SHA-109FF2C6C24E7E1E59B3E01B6072BE6A63E84CFB8
SHA-25684F08D3384A2C472AB1F7871E4234442DD35CAE76EE241D46BDAD2D3A4267EF3
SSDEEP6144:IwgrNEMxpblPTrj9m8vsNHjqDHr3JQWpBK6y1:96PXj9m8vsNuDHr5QWpB
TLSHT15E742B58B9C83ED6D386D172E39DE3303927A8BAD7A981B37C00A74C67C79D5CAE5110
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
MD5DF71D1781688AB23040A2C8A5D3083A3
PackageArchaarch64
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
PackageRelease7.fc21
PackageVersion4.2.10
SHA-1082FADF68385953AAA462F565A8722A26817F780
SHA-2569CFB580085622114D814878F53D7B545F33912493C4600D4EC9A83467ED55F84