Result for 05D54F4E7A803C64B7F656E10657A82B08A0D28A

Query result

Key Value
FileName./usr/bin/hncgen
FileSize535920
MD50A9BBDB8591129222980F74263466E2E
SHA-105D54F4E7A803C64B7F656E10657A82B08A0D28A
SHA-256544EE9B95184962F0DD6509BE0D50C7ECD8B6ACCD67D30D435A1A766A425F53F
SSDEEP6144:bu0XbUYcg1jaEC1hFiOdWA8lQcuLqkxN7s33/ZF6gWhrkP0FHcoHXHFqVS8Lb/:buYlV1eEC1hFP2Qn7GF6gWzco3Hkb
TLSHT1A3B43B453E2A0147D2926FF1233F53EAE72DB94250F4A559335AA30B27F2EB1601BBC5
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
MD5854EB4F26CF7A705E947BE98945AE96C
PackageArchppc
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.fc19
PackageVersion4.2.8
SHA-17F0879750C7294FF61A7A66A82D9CE6B9402ECD2
SHA-256540E302B8D72A32DE4310EF4BA837B0763DE4362D9DFABD6F4AA58B5F0EC4057