Result for 1AE5432355D2CD611139767AAE93BE0C68AEA8C6

Query result

Key Value
FileName./usr/bin/hdfed
FileSize476352
MD5148B3E529D982FFF7F4FD9FC7DB7CC7D
SHA-11AE5432355D2CD611139767AAE93BE0C68AEA8C6
SHA-256F3FD2B559FB5868E14D29C01EFA84ADFDAF659E293A03005FC4F11A57BCC8E89
SSDEEP6144:uy1TlSnyMFd1wfrjXIBxUruwR8lGHqGO47RKIUAribeFKCcPjFCvzMiHFD/NShwa:uyhlSym+us1KCCF+zMiHl/
TLSHT1F9A43C60BF59541BC29007F5A23B2DF4F3AE3451D9B0A4193B05670B2BF2E916C6FE86
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