Result for 0FB9F0C7E64D69E9AA7BE80B5DC1F2728B88F58A

Query result

Key Value
FileName./usr/bin/paltohdf
FileSize315688
MD5AEB4F72F97FA91C04F095777C9B20FD3
SHA-10FB9F0C7E64D69E9AA7BE80B5DC1F2728B88F58A
SHA-256D559E1836B522CC18792C887592018925879C8543C84C075CE4757C762070D86
SSDEEP6144:7ugIhhaeh4T1nuTdFm+Vqf085tqOi3Wsna:y1PWT1iFJqf0utw3xna
TLSHT11D64D79DA53099A3E4B0B837D1377AA343A774761E89A55C9BE8CB270DF1308870537B
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
MD5DFEF91C18499396CE589AB16FA5E6721
PackageArchs390x
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
PackageRelease2.fc17
PackageVersion4.2.7
SHA-13A406719C4DF2BD9F19355A0C16381754B74B3CC
SHA-25624A74358A7C84AC91BEA368F557C2E183D5E0E5169B6D09A394A9AAB33DF7E21