Result for 0A025E0EC4C73D1D2CC873177F77D885E489BB92

Query result

Key Value
FileName./usr/bin/classification
FileSize133312
MD56D8B2E56CCB5AD02BF86391D60BB2892
SHA-10A025E0EC4C73D1D2CC873177F77D885E489BB92
SHA-256C8DC6B7EFBAE404544702542F07CB9C6E5CFC70F20E8E78B2F1D3BAE20499920
SSDEEP768:n9aWzxvQaHHCzLalIja++/tsfGDt/l7O1hoqhemiNxMRoIJA4GhF18EPRwNi6:n9aWzxIaHHCzxGyGDRY1MMJEKY6
TLSHT15FD33B63365D9F23DF82683A539F623572623C4F47140B53B680C31FAAD571ACA3AE46
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
FileSize1489712
MD5DC601EA0B0D61F6578D421BE01CCFCD1
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-14EF843414AAA7E63906CD5829546EC5F9EE99580
SHA-2566C43A59D5467ED0490BD990E43A7963AF0471FF351846C1C6F364A83E9A916CC