Result for 0778B9F868C7C9BBD35DC668461B2DE7F386DEB8

Query result

Key Value
FileName./usr/bin/ogrlineref
FileSize52764
MD55B9FC77D6756DF9230FEDDCDB6F506D3
SHA-10778B9F868C7C9BBD35DC668461B2DE7F386DEB8
SHA-256CE2FC5AB1E81B1BCF3C0BBDFF2E4D50F4B9214103FCDBBB362B6F03D7DD45D98
SSDEEP768:etj+sMrkM+3ljhI/l6xSzijn0Ws3sZcNiMvrKI4+l5I6CcGQf+Cg:XvWU2Szij0WspkMuI1u0h
TLSHT189334C226203F072F19201F0235AE5123838A936D41FCDE7F65C76AE3275E9966137BB
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
MD59F0E4A2BFD24928A0CF01E84B1AD94F9
PackageArchi586
PackageDescriptionThe Geospatial Data Abstraction Library (GDAL) is a unifying C/C++ API for accessing raster geospatial data, and currently includes formats like GeoTIFF, Erdas Imagine, Arc/Info Binary, CEOS, DTED, GXF, and SDTS. It is intended to provide efficient access, suitable for use in viewer applications, and also attempts to preserve coordinate systems and metadata. Python, C, and C++ interfaces are available.
PackageMaintainerdaviddavid <daviddavid>
PackageNamegdal
PackageRelease7.1.mga8
PackageVersion3.1.3
SHA-1F278375597B7ACE2E0F4BB09E5048CE38C571682
SHA-25682F3CA20A3ED5E9FC558907855030601D50670863FE8073D21637F39BA3F9DEA