Query result

Key	Value
FileName	./usr/lib64/python3.7/site-packages/pykdtree/kdtree.cpython-37m-aarch64-linux-gnu.so
FileSize	101832
MD5	47C82EA7A89DE61F2EE03AB563E63BF1
SHA-1	9B4CBA306CC8D468AB13ABA479CF0F3FF962C159
SHA-256	FFF1FF9EA1A3A4AB39138ECF2B510E6B81F9713CE9879EA5F42B69A6EDC0C63E
SSDEEP	1536:vda9FA7EUMJEhC8yrITFSuiLxzFjd+I5qwlArn1Yt2:vYe7E1JEhC8yQF/ifk7wlu2
TLSH	T157A3F778A78E6592E781537C9EDAD436B3313558AB05C0A37604D3AE3B8BECBD934407
hashlookup:parent-total	1
hashlookup:trust	55

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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
MD5	0E3EADA77A1D81196C6DC4C53A2EAD73
PackageArch	aarch64
PackageDescription	Pykdtree is a kd-tree implementation for fast nearest neighbour search in Python. The aim is to be the fastest implementation around for common use cases (low dimensions and low number of neighbours) for both tree construction and queries. Queries are optionally multithreaded using OpenMP.
PackageMaintainer	shlomif <shlomif>
PackageName	python3-pykdtree
PackageRelease	4.mga7
PackageVersion	1.3.1
SHA-1	96B94B5B1CB7D7A68B121BF3A364050F081878B9
SHA-256	61E1C99BCCFD3EC5EDE8197B0A85AE6BAA05327F59122F25397318B82B37D08B