Result for 00356A000E1F6F6733B8B23D94375B89F898EA69

Query result

Key Value
FileName./usr/bin/hncdump
FileSize402436
MD539506E025867B78EB50F57C4A05B38E2
SHA-100356A000E1F6F6733B8B23D94375B89F898EA69
SHA-2564EEFF44D42A34DD40794217ADAAA44761D2C317DB81EF8851A056267EE50B48D
SSDEEP6144:fzYayyH4ZaK9QS2pPBaAAPS7AK1e3P2X8eSdJUr8Foqa7p9ccQAxXuu8xboM7VKk:fUaEaK32z7Aa7rCFoR8JoM7J/Hnsjsn
TLSHT1E8842B04362B0443E2A76FB0267F37E6CB2EC48711F9F849219BA61527F5DB69107BC9
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
MD5E82CAF1C91D71775BBAEB12F04A9E908
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.fc15
PackageVersion4.2.5
SHA-1A5D7F4C92F2480089503AE8C444B98E0612B87B1
SHA-25651D8FA465EF43ED410C8A82EE4F462C542E16BE827BDEB3DE47CF3210702584B