Result for 0FF169BAB59D97D210D3DF81D7BF4556E261B685

Query result

Key Value
FileName./usr/bin/hdftor8
FileSize407456
MD5BE61293F517A37941D7E7BBB6991D30F
SHA-10FF169BAB59D97D210D3DF81D7BF4556E261B685
SHA-25674D03B9E0F55A72EA19B5E9605AE0E6CE47514F10614DE4679C7AA9DF93D3D5D
SSDEEP6144:WlBE5PazUUFV38C96Cy6ty17kXHDFl725hLAy8+XHoMIsmVU:WrpLN72zAJ+XH
TLSHT15B841974BF558417D2900BB0A22B6EF0F3AE34519AB071153B46570F2AB2E527C6FF86
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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