Result for 1EA22990B71BB9B98023B03584CBD3B0516AF81E

Query result

Key Value
FileName./usr/bin/hdftor8
FileSize345512
MD5CA5B26C947498FF05F3C5488B3ECCC79
SHA-11EA22990B71BB9B98023B03584CBD3B0516AF81E
SHA-256F642A2DE925C44B5578A64132A40A087D5E4DD71D68E3F140E8F204222CB38F0
SSDEEP6144:S+Qz6SYe8jlBREFxTRpbYcAFlslSdtBJjX29PXFKRM6NY8DcJTd44Duqm1A/CMSI:S+Qzwe8jlBREDTRpbYc+lslSjBJjX29d
TLSHT1EF74FA427B4BC4C3D7A90FF2A54A37E8C3BF98004377966E3B4D26186AF1AA53419F51
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
MD5A14BD2F2165A342D2634F7A979FF00D3
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
PackageRelease3.fc15
PackageVersion4.2.5
SHA-1EFCDF6C0DBB375E5AC3052B9EDF779073CF443D0
SHA-256F8441CF51EA9D83921346EDE40E132B3902ADDBEC06C8C0E4B72073EC05D3CF8