Result for 150CB493E0E16F26B2E776272835C94474DC629E

Query result

Key Value
FileName./usr/bin/ristosds
FileSize333316
MD5915E4DE787E8F397CC6BBD90BC5AACBD
SHA-1150CB493E0E16F26B2E776272835C94474DC629E
SHA-2569C8F5AC7DA99DFADCDE485FDCCBDCBEF4014A09BB6E5032662022894D26C7803
SSDEEP6144:J9uTh3aBLtddIBd6ZSc6gFL1RudpOZHS5bCJhj3UE75PuDXsOY3Pul4bN2:7uT89dgdHgH8Cf3UOuDbY32lIY
TLSHT1B3643B89B830E6B6F8B6157745BEC48B0F27643B1D0E055DCDC8E37A5866215AE03E3B
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
MD550BC52D78D2713124110573FB5CD9AAC
PackageArchs390
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
PackageRelease3.fc18
PackageVersion4.2.7
SHA-10B1254C1201B378BEBDC220D464272F92BA8FBD0
SHA-2561F27275CF6A567EA48C287CEB40B4E0F83C55F0FAB6E87BB06CB730BC89F4AB3