Result for 05821079AD83C58B28F9436101261624BAC187CB

Query result

Key Value
FileName./usr/bin/paltohdf
FileSize276800
MD573C5284BE06C85A06710C37653C8C07B
SHA-105821079AD83C58B28F9436101261624BAC187CB
SHA-256D0D5CDA917A8D844EDE706E7268D2A08029E3781C6EF4C0E428A9018E913BC0E
SSDEEP6144:w47Aa3/XgKuTE1pys3BwiBrnH4379ANYJ:Jl3ZHDvH4r9z
TLSHT120443A9DB9CC2DC6D64BC1B1E688C6A0735728F8F76BA1E37D059359A3CB4869BF1400
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
MD56F415EE3BBB40000467FAFC6DA15E8E7
PackageArchaarch64
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.
PackageMaintainerdaviddavid <daviddavid>
PackageNamehdf
PackageRelease1.mga7
PackageVersion4.2.14
SHA-1D6B4F6D17272297F7424FB6EAB59147669171057
SHA-2565E6FE9BEB145C812B4A930B3C8D0B1379CB918F1A81CF4D8EB247ED3CE9D09FF