Result for 00AB171928E21FF8668FB662E0B1644337558600

Query result

Key Value
FileName./usr/bin/classification
FileSize61584
MD5BB9B655F3DD8153CDEC35EE8A0961027
SHA-100AB171928E21FF8668FB662E0B1644337558600
SHA-256BECF380A94589A8813A5D0E5F073FA54295386D699357B44A3E15B51A6F6349F
SSDEEP1536:RgQQ6jiVccpZWXLSAM3yh64t3o1Y9Jgt53DSWpaXqJBmzKrl+yVN3:RgQQ6ji6gZWXLSAM3yh6w3o1Y9Jgt53X
TLSHT10353E8127F014FE7C8C7CEB119AFD31600AE6C5B92887D36BDA8CA4877425899D6F64C
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
FileSize1138832
MD560595D0A4F9A1A965A3E4A2A5E5EC0A4
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+git20180821.99bd997-2+b1
SHA-1A907DFAABA19F7E42D901D00E92FA9B1CDED2C57
SHA-256A1E057BCE016C8F8BBABAE0631889F0E7D819C8FB8088206E2598BF3A2C8FBF9