Query result

Key	Value
FileName	./usr/lib64/python3.10/site-packages/pykdtree/kdtree.cpython-310-x86_64-linux-gnu.so
FileSize	120408
MD5	27DA50D51DF8BC1EB34DF449AFF62041
SHA-1	45FB7AA50A2AB63BCD4252F4127FB3915A09F276
SHA-256	0E79A6B9468AEAA70E6AE7592E28BEAAADC7C2C20E464DC871FD69783A1BD019
SSDEEP	3072:EkPyioMziEB4xmY3rMWX3ZWm05xXMmCS48:JB4xmirMWJr05xXMmCS48
TLSH	T1D2C30917F05618BCC1A5D430D9EB62676F71BC698234AFAA50887D316F42F242F2DB68
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	2186E893B156DD1F07934619F443D318
PackageArch	x86_64
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	umeabot <umeabot>
PackageName	python3-pykdtree
PackageRelease	4.mga9
PackageVersion	1.3.4
SHA-1	DED13D136C96BE7B16F2045C0038A7D228DB32A7
SHA-256	AC65E898D6EBA2BFE2603F39F0AC3F48094E32211497B6627D59A7D2353F59AC