Result for 0F21B43340E6F7E2C77BB719D12062728E767C44

Query result

Key Value
FileName./usr/bin/hdfls
FileSize407696
MD530B16C8B7E558A72D88B5E8ADF9C0BF3
SHA-10F21B43340E6F7E2C77BB719D12062728E767C44
SHA-256624F0AB1BED82A03BDDB9970A25C6C6782ECC4990FEF7619DCB4ADDCE2D5FCA2
SSDEEP6144:9QoGYvNUfVZdSPzLi9XfMlSPjT1+FfVWG8PZidYHY3EG7iS:3v9zL8X7PjT1c8RiqHYUG7
TLSHT1638418A43F660507C79003B3A23B29F0F37EB4519978A8163746660F15F2E969C6FF89
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
MD5D90E3B56AA51BAE4C1B74623EDA1F6C2
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.
PackageMaintainerFedora Project
PackageNamehdf
PackageRelease7.fc21
PackageVersion4.2.10
SHA-166A51B0BC8F5192EC8F3D6EE8B49FB2BB2DF56D0
SHA-25679A88D6CC7EE553450B7054F87B9A1DC9CC5860E6BE09A81E38A8D5B9D9CC285