Result for 2316AC4BD3C143A33474DE5D4F93C282C121EE97

Query result

Key Value
FileName./usr/bin/hncdump
FileSize541936
MD55E5D0842B64855514997C5E9AA6497CB
SHA-12316AC4BD3C143A33474DE5D4F93C282C121EE97
SHA-256BF6FC6A910C3936892D5436BC88BF0E9ACB7E4199F98E7D99F6EAF6DB8DE6A6E
SSDEEP6144:PhuBX/Ed9BGBAXHyKx1n2CZ4zg2vbO4JAxC1OV0Tnk3fd0dkWB9rs3GsIkPcZveu:P0BXcdkAXXHudkWBuWsbPiiH5v
TLSHT1C4B44C61BF555427C7800BB2E22B3DF4F3AE386189F091053B49670B1EF2A556C2FE96
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
MD5766BBEAB9BA275337F29522D64EC7970
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.fc18
PackageVersion4.2.7
SHA-1BA87A29F807C04CC692CF4F088A992A01B0E6AF3
SHA-25631E4962931A0651CEAB835D8A766A5AA0CB2C8B08C5B11F7D462C53FAFD3F521