Result for 16A931F7FEEAE5FFFFD07BE8805E5E95131D78CF

Query result

Key Value
FileName./usr/bin/hdp
FileSize695320
MD5B4E1634157CCA3C6AAB7635FD765C7DE
SHA-116A931F7FEEAE5FFFFD07BE8805E5E95131D78CF
SHA-256F07B9FD4AF347A5F7B72F67E391AD65B61A9CA31AAE7932B22864143FCAF9168
SSDEEP12288:69uJK2JhNjDhI4tpZLdDPQFmPfq6T/dFP1G7XQRtlwtncANWN5WcD4G1HN7B55aF:IuoshNjDhI45VQN5LH
TLSHT175E41A823B5BA187D3ED0AF2F50E27F9C3BF841502B2926F374E622C55F19A43069E55
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