Result for 2442912492244675BAF307CCCA5B7E65EA810541

Query result

Key Value
FileName./usr/bin/hdfcomp
FileSize345880
MD5584E37563C293B92526CA97EA401E2FE
SHA-12442912492244675BAF307CCCA5B7E65EA810541
SHA-256FAE6516D259658BDE5A1A2AF06D31A09269D24633A838C221DB36843D13BF530
SSDEEP6144:LFQAg8zLPTdNtAPii5IXdoF1k16dlpRr+OVIQ0zmXFDOQ0DzDbdQgbmCOtfohkqR:JQA/LPTdNtAqi5IXd21k16bpRr+OVIQU
TLSHT10274E8423B5BD483D3E90FF2A50B37E8C3BF94504273966E3B4D760866F1AA4341AE65
hashlookup:parent-total1
hashlookup:trust55

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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