Result for 074700FA2BAEAF4FA23BA576309895502C78BF52

Query result

Key Value
FileName./usr/bin/r8tohdf
FileSize343312
MD5EE57A93EBD12D017BDD1A0CE9F41CDA5
SHA-1074700FA2BAEAF4FA23BA576309895502C78BF52
SHA-256AC9E0CA800CE43800CD3446EC7F631F56559FD7CC3FDFB27E78A7E2095F28587
SSDEEP6144:O7lQThEO88tDEc40AVq9NZFZ1Has9d9KMWx9lY2bWorA2iXDawBsd/7buBoMqlAh:olQThq8tDEc40Yq9NZFDHas9HKMWx9lj
TLSHT1C574E8427B9BD483D3E91FF2B50B36E0C3BF941042B795AE374D261856F1BA4342AE61
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
MD5145320A92EBF6FCBF6A9BAB7506849B7
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
PackageRelease1.fc16
PackageVersion4.2.6
SHA-10C9649704C443EF3C9192F00E556EFA868AFA84C
SHA-256E257E9FF4A001ABEB3EBAC81E23B4FED039F9E1023808A7800981A5C3E0A0751