Result for 5DDC7A7CA7D5D92C5A3F5C6ED2F0ADC29345FBC7

Query result

Key Value
FileName./usr/bin/svm-train
FileSize133296
MD553EFFCB8CF9F0D5751C69313A5FE7480
SHA-15DDC7A7CA7D5D92C5A3F5C6ED2F0ADC29345FBC7
SHA-2561191C61310838D3C4B0F97A6D6777E4094D8E7823CF1C58EC8ADC96C93341A74
SSDEEP768:gvcVet6NxCwg94ZN1qO2m43ANEVzgWKI2JSUGWp2Hsv9uD+1NAZSBGeNlHG17oE4:ocm6PmX2FDIxZWpFFb1NAZS7NMXOa
TLSHT194D30952325C9F6BEF41283B428EA46073623C4717585663B904432FAFDAB2ACF5AD4D
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
FileSize90710
MD509332F0E37C029E4713C488652F99DD0
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.
PackageMaintainerChen-Tse Tsai <ctse.tsai@gmail.com>
PackageNamelibsvm-tools
PackageSectiondevel
PackageVersion3.21+ds-1.1
SHA-19554345DEA90AA59BD6BDDD21B880F87AFADC5F0
SHA-256700BDCBF64C76B685DCD80A9FBDC48ECAFF57191E5BC6BFBFD1C48EBAB058D1C