Result for 681019664921E6F4A79F5B01EB7E9D75CC296A19

Query result

Key Value
FileName./usr/bin/upgrade_net_proto_binary
FileSize34392
MD57659C21E9531850EFB6AF6774E09B705
SHA-1681019664921E6F4A79F5B01EB7E9D75CC296A19
SHA-256A7413EA5581304FC8FE2977B5C0F20C2B36609B64953F3D6347A1C9461ACA646
SSDEEP768:TCMsmYyFvkfTRllNCUT5iXOSkqRX+x2CTQ5:TMmYyFvktbNCUT5iXOQA
TLSHT153F2085A7764C877D08385711283B3AA46313A42D1239AD3B7CCFB1D65706C4EF397AA
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