Result for 39C69F15F2B751E5FC759A4AD435E34459484747

Query result

Key Value
FileName./usr/bin/classification
FileSize71256
MD5CBCFFFEC099164C213A02584019FCBA3
SHA-139C69F15F2B751E5FC759A4AD435E34459484747
SHA-25604FC9DA2BA9518FCBBD044D15003C28A263EB9000DEE22FD7947EFDB852705DA
SSDEEP1536:Kbk9/ZSaJM1NLFvIcRtXtSgX+OVy0t6oL0Uh:B9/ZSaALFvP1tL9MU20
TLSHT17663281AFA11C977E48389F43287E3B695207D35C05386C3B7C9DB4E69311E99E28B62
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
FileSize1645360
MD590EE77B357FEE8D0CBB34276484807A8
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-108075917C3DBF8A2286BC43BB8AA564794965DBE
SHA-2568CF34C6C5C2D46E4651EE52AFE0A893B1430607E231255DCF5CD098BEB1134E0