Result for 31793EF116608FB491072F1652C664FE3DBFF2BE

Query result

Key Value
FileName./usr/bin/paltohdf
FileSize330148
MD546A8ED8977F51D6A7A39B9BF69D4C9E2
SHA-131793EF116608FB491072F1652C664FE3DBFF2BE
SHA-256555557483565B19CA7A31330A8CB38C5DF55C1BB1B763E301242D0A22CB67EB9
SSDEEP3072:BrM8m3tKDb/t9FQA2uVklBYN+CYOw87FSef5/krX/KuJvSM4p5hT3HpOOqRy0Ej1:BC3YauVkMThFSG/wUpPFODMAHiVxt
TLSHT1C1642C553E2B0287D2916FF0223F03EAAB2A785211B4E4553356A31B17F2FF6601BBC5
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
MD5A2625D59DF66E07DD1B29F2C2F67C8D8
PackageArchppc
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
PackageRelease2.fc17
PackageVersion4.2.7
SHA-19B89C7CC85B575460BB4CADD22ABC026E627DED0
SHA-25605C2591E39CF69FB227DEF06302F876E25988CA6AA6A783B2A23E4729F4E6DE6