Query result

Key	Value
FileName	./usr/lib/python2.7/dist-packages/pykdtree/kdtree.so
FileSize	90948
MD5	A7D9B6097FE689ABEEF42F3378D995BD
SHA-1	F68BF9A6FF2C22EFB8BDA4BACC395253112A3EA6
SHA-256	8386D6250940BB9A5694AC5DC42736CE5257DEC3C79A21B1F6F9400242462E09
SSDEEP	1536:fuVltXGe1USBoZqAfvaSXdxIb6GnIJj5ec+Xc9bbbbbbbbbbbbbbbbbbbbbbbbbT:fuVl1GeJKZqUF6sn
TLSH	T1BB93195AEF87B0F4DE6344309283751F4AA347066261DFE7E9082FC6ED2261B6C2CE15
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
FileSize	36984
MD5	01683BE97EC248796D69992D00EF6EE2
PackageDescription	Fast kd-tree implementation with OpenMP-enabled queries 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. . The implementation is based on scipy.spatial.cKDTree and libANN by combining the best features from both and focus on implementation efficiency. . The interface is similar to that of scipy.spatial.cKDTree except only Euclidean distance measure is supported. . Queries are optionally multithreaded using OpenMP.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-pykdtree
PackageSection	python
PackageVersion	0.2-1
SHA-1	9DE78056E1B42F042BD16C0F54D236A691EE2E9E
SHA-256	175AF4942BF56B3BF9A6554483F0A748DAC96BD8A287C2B2590557478828D77B