Result for 79CDA3E0854176B7B2D0A9155DEBE5D9E33CD872

Query result

Key Value
FileName./usr/bin/classification
FileSize63076
MD502D3939CEBB237478246B1E9BA08C73C
SHA-179CDA3E0854176B7B2D0A9155DEBE5D9E33CD872
SHA-256133275322D869EAD64D16840BDD6EDFEDFC06B2481726DEC712B15C67079BD63
SSDEEP768:urxrn2Y3zDkwnhLF1OOLlI3VfTRlHCcqlP7aps5ZpghID0+WG85zS/EVARKLXBtv:wxf3zD7nhLF1mtXqBaw3p3/4qAhwert
TLSHT13353F656BB12C8B3E0C34AF83603D3B694207D359157C493B789DF0AA5711EA9E29F36
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
FileSize1595376
MD53AE398742DDC4BFB17BAFB4F2C9588F2
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+b1
SHA-1F88D900FAC687A927D99569298E6D0AFC0482DC8
SHA-256E1C688867D578EF649FC3F6D7E6638C9AE545DA68FB05A22E9969F41C3C7ADA5