Result for 345F4948FDE73FF3E05A74F620033C637BBEE881

Query result

Key Value
FileName./usr/bin/hdfls
FileSize402468
MD563B83F6E8BB49147071FC8490626A474
SHA-1345F4948FDE73FF3E05A74F620033C637BBEE881
SHA-2568FF3A934F0353E1AEC2528C373555197187848464C07CC0A58CD5FD018C8A338
SSDEEP6144:/QZnV6pMFnaUN7ISLI4J1jpuB6xwZHzU3a:oOpMFaUNhJ1UExCHQK
TLSHT1FA843C553E2B0247D2916FF0227F53E7AB2AB85210B4B4553356A31B27F2FB2601BBC5
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
MD548F9F22527003B5419A32CBF4A4EF1BD
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.fc18
PackageVersion4.2.7
SHA-199FE178421728CEDA9DFDA829DE36BEB98D410FF
SHA-256A87C1F32E97444D154CE82018219BBB83A37A35F7B5F0DC0D05B8A7AF95A9522