Result for 15A1FBDBF7BAD935F361D6681FE7EDDE5188B00D

Query result

Key Value
FileName./usr/bin/upgrade_net_proto_text
FileSize31968
MD5360E100475816BEA0C43A69537CA8AD9
SHA-115A1FBDBF7BAD935F361D6681FE7EDDE5188B00D
SHA-256F90598B1D74F8EC11D5C9016F0021727E0479FE041B66D2B49F5CC6B46AA1A1C
SSDEEP768:c9ynHSeRT+pLxEw8cWtQdOlA4pLEx5XcQbX99LR7rCFQeg:pnHSeRT+pLxEw8cWtQdOlA4pLEx5XcQk
TLSHT1E8E2C74677548E77C8C2CD34117A830202FF7D9B90A29B87758DCE9C2E1258E5FB7A98
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
FileSize1182804
MD566B687EBB154A10AE6C1420919AED222
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-1246B443182D2757C1FE8E16E6B81CD78043BD6B9
SHA-25607CCC0638ECB19F4EF58263D838E795D4519028AE4A1E00620ADCE82B9B43AE2