Result for 22EED3BF18AB7DB69C80F75D591DE404A4C57DBD

Query result

Key Value
FileName./usr/bin/jpeg2hdf
FileSize315088
MD51E43DA8425FF43EB236462C9D7D23310
SHA-122EED3BF18AB7DB69C80F75D591DE404A4C57DBD
SHA-256C199D789F5015ABE33E6632CFB245CC0730D96D8BA0DC933603DCE9E2D56F34C
SSDEEP6144:cmS1L7UVo7ifBkFBYNed53hf/SJbCQ39o9FaiDzh7dtgEmSalOrpQKdOqm1C46mi:cmS1L7Mo7ifBSBYNeX3hf/SJbCQ39o9r
TLSHT1D36409423B5BD483D3A91FF2A54B36E4C3BF940003B7956E3B4D221866F1AE5381AF65
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