Result for 0DE3809C933CB078E9CD879F90212373CFDDFB3D

Query result

Key Value
FileName./usr/bin/hncdump
FileSize540120
MD5B25DC9CEDE04A8DAED45C28FF5CE14A3
SHA-10DE3809C933CB078E9CD879F90212373CFDDFB3D
SHA-2562E57164BD7CB640C113BDF96E9E276A98D9B4535ADF65617AB7E04D617333A3C
SSDEEP6144:8OhajIvSTmtbHypcr5IJ0KjQmi+Oh47+9Ku/gAjqyFFSumNDtTml8Wo14JfDj8Qg:8OkI+mtTZHYQvjR1VJRtHKao
TLSHT161B44C61BF565427D2800BF2E22B2DF4F3BD785189F051153B49A70B2DF2A516C2FE8A
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
MD521CC2265B09DAB50FCAF85A4AE0412B7
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
PackageRelease2.fc17
PackageVersion4.2.7
SHA-1AC67C068E6DE57EB0D6A3A00315F4FE8F77DAE7D
SHA-256010D2AECB3D26EEBF759251F263CCCA7BF699101C253761E1AF67105A3BE2D9D