Result for 0302CD3495FEC122A7EA0D496928EA022489BDAA

Query result

Key Value
FileName./usr/bin/h4cc
FileSize7007
MD5B88F3D5A2523D21F39E2F625CC5E01C2
SHA-10302CD3495FEC122A7EA0D496928EA022489BDAA
SHA-2568EA2E5845385363C10D9A1E941DD61538E3F78F77E876A730B3F7AD2C49537AE
SSDEEP192:kzG0SsypSbbqCi5sRL5agwjpjvbyVzTQbf5WYp8O7cP3:kBzysHqCi2IgwjhbYT6YUE
TLSHT172E1352CB04D8EA46B2D11E8579B7187B210A01B4C372418B6DDA3A67F63B51E1FF276
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