Result for 39E2DA2606E448F5C94C6DD0A5B685DE7A2F71AA

Query result

Key Value
FileName./usr/bin/svm-train
FileSize37684
MD569B26E9A4F378EE6C92B777E6FF2302F
SHA-139E2DA2606E448F5C94C6DD0A5B685DE7A2F71AA
SHA-256FE51D48DCD9C5A22969791281F5B9C1420BDE8447FDB1E1D34E15C458D005F68
SSDEEP768:pJQALoJuNfZ/GWIAXGpl+I4vfYCb9fs1NRGmweRNa0hy6:vQAp/GlTpl2vQCb9ccmweRv
TLSHT182038EC5D1525823C64576BFDB575B40A3F4D8CCA23B4F6731C88BA568D39378F22AA0
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
FileSize104452
MD5FFDD7A0F13052F3F839AF17CFBF732FB
PackageDescriptionLIBSVM binary tools LIBSVM is an easy-to-use package for support vector classification, regression and one-class SVM. It supports multi-class classification, probability outputs, and parameter selection. LIBSVM homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm
PackageMaintainerChen-Tse Tsai <ctse.tsai@gmail.com>
PackageNamelibsvm-tools
PackageSectiondevel
PackageVersion3.12-1
SHA-19FA1639167DDB7973D8D25F9EACA82203FDACF27
SHA-2561BF814DD45B49EDD26E2AE9926B178B7A6C6C130D48C616B8E9593F4A15CA2D8