Result for 3FDBBE0CF6530A22B63DBCB73E529E93FBEF0190

Query result

Key Value
FileName./usr/bin/upgrade_net_proto_binary
FileSize30968
MD5B0BF3D083089676450BCC6ED02E6DBE5
SHA-13FDBBE0CF6530A22B63DBCB73E529E93FBEF0190
SHA-256B7F9133EA0867C712CB270037D526BB1329E9C82D61063B8C3C581A62C19B2E6
SSDEEP384:S16l3mSACIbFQYxJ+2bXn1vv6IGTYqjkLZBm2lnpEXOSeCDCoLO0yZzc:SUl3mzC+FFnbJCIAjkdBT+WWLq
TLSHT1DFD2B71AF61EEC6BD981567412932373633374C9E3F787C232859A586E426C98F34ED4
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
FileSize1488724
MD5C6C19419A076065D494AE252D7231930
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+git20180821.99bd997-8+b2
SHA-10455C2DAA83F708488398302C19768906B119E90
SHA-256573878476AB7B01C41CC8501CFC86D76529A72C0064C49D7D2879B3C52B4CF97