Result for 35DB03AC88C0735B112BB572A086851E54208105

Query result

Key Value
FileName./usr/bin/extract_features
FileSize67208
MD5462C986B47945FC4DD70F44396AF7CE5
SHA-135DB03AC88C0735B112BB572A086851E54208105
SHA-256D1FE9C0096D0078BE72693C603E7AC1A3E6D9F20337420E87DBDE20DCA928E05
SSDEEP1536:a/D6Aw5+RwD3ICWFS8TCIjv32ymQSB7dJos5bspC3KaEAj25XoS5xwcgwoKQhW9:oD6Aw5+RwD3InFS8TB3a2V3Ug19
TLSHT1DF630747B9408D37C8C116B2725F53A933136EFAC0952717DA08CAA86FE16DF0D3AB91
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
FileSize1402440
MD52AB1C46EC0D80F4D9D3B9F80B99565C6
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+git20180821.99bd997-7+b2
SHA-159B40F5C667890C03FBD1D61A40A6B202D88E763
SHA-25690617B88B3B54FA5C85611ADD31013CB26F4E4636299CFDA5C49373A6F5AC1BE