Result for 12FBFCA5A2879576826B9A8DE1A5505C2133CE6C

Query result

Key Value
FileName./usr/bin/h4cc
FileSize7035
MD5B8F064979ACCF947B90C1F1466BBDE06
SHA-112FBFCA5A2879576826B9A8DE1A5505C2133CE6C
SHA-2562F2A24CFEFF6E2DE3D97ECA9F75270136E5469F352E33FA66320360B982501E3
SSDEEP192:kzA0SsJMpSbbqCi5sRL5agwjpjvbyVzTQbf5WYp8O7cP3:kTzJMsHqCi2IgwjhbYT6YUE
TLSHT1C4E1452CB04D8EA47B2D11E8579B7087B210A0274C372418B6DDA3A67F63B51E1FF276
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
MD5145320A92EBF6FCBF6A9BAB7506849B7
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
PackageRelease1.fc16
PackageVersion4.2.6
SHA-10C9649704C443EF3C9192F00E556EFA868AFA84C
SHA-256E257E9FF4A001ABEB3EBAC81E23B4FED039F9E1023808A7800981A5C3E0A0751