Result for 05C3EAAB016483F664DC287F1169A8CE77CC29CD

Query result

Key Value
FileName./usr/bin/hdiff
FileSize615912
MD5D3CDF6428C1D4BF04D7676AD222481FF
SHA-105C3EAAB016483F664DC287F1169A8CE77CC29CD
SHA-256E0870684A853A832EC40C28DFD6A1A769C17AB011FBB5E547A2F7B60881F358B
SSDEEP12288:HTlqoBuiDR4w8QQ6DXMsVrPTi5q5jz+5Tz6LvQD/9zAS1RjWGSyLIy42ej0zIhRy:woXQUVs0Hc
TLSHT13AD408853F5EC483E3E90BF2A50A3AF4C3BF941053B6A69F374D364856F1AA0341AE55
hashlookup:parent-total1
hashlookup:trust55

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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