Result for 4445AFDBB45B0A498F5D676EE2BAF83200C2AA86

Query result

Key Value
FileName./usr/bin/extract_features
FileSize91736
MD5A850F68A5E4851079A747CF0E2C4065F
SHA-14445AFDBB45B0A498F5D676EE2BAF83200C2AA86
SHA-25677F653A74C8F708EE97CAD9041DE88B197CFB4BA316F723C886A7419F0737074
SSDEEP1536:r6pDkYsTXaYQJZgMFBWp4KtXBYALFQ3wuVxglzWWjc1RlnMPi:0DkYsTXaYQJHFBWSK1VLtzGPl9
TLSHT1E4931956BB51D873E89308F4124793B245207DB6C0238692F78CDF6D9EB06D89E2D772
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
FileSize1612220
MD5803F122CF11682DD8A6384EEB52508C3
PackageDescriptionTools for fast, open framework for Deep Learning (CPU_ONLY) Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley AI Research Lab (BAIR) and community contributors. . It contains caffe executables, configured as CPU_ONLY. . Issue this command at the root of caffe source tree for a unit test: $ caffe-gtest --gtest_shuffle --gtest_filter="-*GPU*"
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamecaffe
PackageSectionscience
PackageVersion1.0.0+git20180821.99bd997-7+b2
SHA-18FD83356630813B20E5111D71FF87B9616234867
SHA-256DF30A6BCFB53983917592CE64BED609AD5891CDA0A9C2185927DACEA4B5882FE