Result for 7E4F6BF5AF9DE0879FB0B84B982B8DC3AFDB8FCA

Query result

Key Value
FileName./usr/bin/upgrade_net_proto_binary
FileSize22116
MD50F6FD982C9597E4B9DB741DC5BFB85B4
SHA-17E4F6BF5AF9DE0879FB0B84B982B8DC3AFDB8FCA
SHA-2560BDF9BD2E19721E5048F0A94DF30F871C635BFDAE38A4920467B0E2C20AD9707
SSDEEP384:dhHqyAuoKS7ggTjwNp14Le1fZ5rYNPdjqOP9vPJNaN:yuonfTENplhKfP9vP+
TLSHT11FA20A077B6DCCB3D0938EBD0143537AA1315DA19263CA91BBC96B4C20716C99F1A79E
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
FileSize1595160
MD5AB6EC6A35BABA6D5D8EE300A9B92D540
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-tools-cpu
PackageSectionscience
PackageVersion1.0.0+git20180821.99bd997-5+b5
SHA-1932FF72FE8DCD4FC83FAFD482D1D2A0F34436906
SHA-256AE030D81BC65C1C81B5E9E5126648E30E63343709F0319E8328122FA376EFD84