Result for 1830264623A67B84F8DFCD293F6829F703E4DB93

Query result

Key Value
FileName./usr/bin/hdftopal
FileSize405536
MD52AC95D785011BB43EB2C5992A104E7DA
SHA-11830264623A67B84F8DFCD293F6829F703E4DB93
SHA-2562CBC009D64DD01F31A2A3B0F1325C407FD27DD03E99E058027A9427A703ED48C
SSDEEP6144:L/Foe5b/Utz69DuaY1gSfembqG/WvTLU31XepaA/pt1HKK0eXU2e:L469D7G/2slXgaUxH
TLSHT1E3840865FF55441BD6900BB0A23B2DF0F37E38129DB0A51A3706570B1AF2A526C6FEC6
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