Result for 28D9201738FB769CDEBC36A951A70233A397F637

Query result

Key Value
FileName./usr/bin/hdfls
FileSize333932
MD5F32DA34BDD7E46B954C21C4EB37BDF53
SHA-128D9201738FB769CDEBC36A951A70233A397F637
SHA-2561ECFD711EABCC7B98D0D620B406A29A4C3678ABA6F1D2C6C82F62C3649F96BA0
SSDEEP6144:29qd51wOZBs0pm8s/0VZD3q4rfN34CnJNMAGCJlQwjnv4sTG/PpHhsayh:0qdoAZDtTpvjMdHhxu
TLSHT1F1642B04752B1443E2A66FB1257F37E6CB2EC48711F9F849319AA2251BF5DB7A007BC8
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
MD5E82CAF1C91D71775BBAEB12F04A9E908
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
PackageRelease3.fc15
PackageVersion4.2.5
SHA-1A5D7F4C92F2480089503AE8C444B98E0612B87B1
SHA-25651D8FA465EF43ED410C8A82EE4F462C542E16BE827BDEB3DE47CF3210702584B