Result for 057D58D458EE85217410927CBCA887A96FC14170

Query result

Key Value
FileName./usr/bin/ristosds
FileSize410296
MD5F101CE5CDD9524DEC347FBD762C84AA5
SHA-1057D58D458EE85217410927CBCA887A96FC14170
SHA-2569B56881E13A4008F9F81D1E09B7FA94CFD869E1AF58DA6B631776A86334D0045
SSDEEP12288:O19CQQnfoOuU4wg/2+GbyTTHqsN3acmDtVszViZp6aSHjd58NLLex4cqudDKduRC:O19CQsAH
TLSHT1BB9408463B4AC4C3E7A90BF2E59A36E0C3BF84101377A76F374D265C5AF1AA4341AE51
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
MD5145320A92EBF6FCBF6A9BAB7506849B7
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
PackageRelease1.fc16
PackageVersion4.2.6
SHA-10C9649704C443EF3C9192F00E556EFA868AFA84C
SHA-256E257E9FF4A001ABEB3EBAC81E23B4FED039F9E1023808A7800981A5C3E0A0751