Result for 33DB10D367008855443A74D35604042F74190E37

Query result

Key Value
FileName./usr/bin/hdfcomp
FileSize330144
MD5BAA3549504CD0678AEF382A19D80AABE
SHA-133DB10D367008855443A74D35604042F74190E37
SHA-256EBCDD984F238B948E786DCAAD2D560E88DABD5E6E10BE440C42622A0E9CD737C
SSDEEP6144:h0tIMqh3aaiiaR2Huj4wWMpMxMYvYPPiWQynQyWEJ2ghjyiynu4iUHnv9KjMUiYn:tMqhKDWM58WQyQyAiUHvfUN
TLSHT1DB640A04366B0443E2A66FB1257F37E6CB2DC48711FAF849319AA2252BF5DB79047BC4
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
MD5415BA9B340953080826C4A08C396D89C
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
PackageRelease1.fc16
PackageVersion4.2.6
SHA-1B6B4B80EFCB5FD00786820A8E4B5D401CD7A9E2B
SHA-256B87955E2A734B94E98C93099ED92953D68A27D7DFD8F15909A5F875BB891E269