Result for 1550BD74F4CCDF7933AB450CA2E9A2F1B28C3CF7

Query result

Key Value
FileName./usr/bin/vmake
FileSize345272
MD5A660D5FF8048F2532F1E4276B75D1D41
SHA-11550BD74F4CCDF7933AB450CA2E9A2F1B28C3CF7
SHA-256DAB8FFC703EAA87377D235565654FABC1BA0CDBF3A9C7E5E2AD7516DCF675465
SSDEEP6144:GvjiOgOr4/N24axyHtrJ4Udrhbd6bh6WLtxVdrygD51udxYVoSxdycMz6dnrdgDo:ZOgOr4F24axyHtrJ4URhbd6bh6WLtxVt
TLSHT1D074F9413B5AC4C3D3A94FF1E51A36E8C3BF540043B7966E3B4D264876F1AE4342AEA5
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