Result for 161D09B8425A5E2DDA805804815A586606182481

Query result

Key Value
FileName./usr/bin/paltohdf
FileSize344880
MD52A7643B744CE16E23C50B803F8179978
SHA-1161D09B8425A5E2DDA805804815A586606182481
SHA-256E9C42388DB37862D7134960DB8C8B2BA419A99BF1D3D15F1B1E680A6008F25EA
SSDEEP6144:uTSxLZ6Z7zaJtkFBYNed53hfCSJsN1DNFkRaiD5D7dtgEmSaluvwQKdOXkY/d6Lk:uTSxLZS7zaJtSBYNeX3hfCSJsN1DNFkx
TLSHT17574E9423B5BC483E3A91BF2A55A36E8C3BF480043B6D57E3B4D361866F1AE4341AF55
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