Result for 4DC86D8015CED997F7969AF4FC3E1A75A8C4822A

Query result

Key Value
FileName./usr/lib/libsvm.so.3.21
FileSize133144
MD5B3C0265630BAA5548DDE920ED25493FB
SHA-14DC86D8015CED997F7969AF4FC3E1A75A8C4822A
SHA-2561BFEDFE85F19A63DE5320DEE1D62D064A26296E44BEBE20A961417308F3D752A
SSDEEP768:BT0kumr3dplpZcP2SO9OL3koczFeRXz6Zyr1U8VvIvuZ3RaA5uQGIm41q+0/mNVU:Kkfr5qM/8lMyrJVvaIRa6uQG+1PVPT
TLSHT165D3F952365C9F9BEB01283B838D56A173723D47175847A3B904032FBED6F2ACA17D4A
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
FileSize41876
MD5751653EF7CFE6FA71B3C567514907F67
PackageDescriptionlibrary implementing support vector machines The LIBSVM library is used to calculate Support Vector Machine optimizations with a great variety of powerful options. It includes one-class, two-class, multiclass, regression-mode, and probablistic output functionality. It is primarily of interest to machine-learning researchers and artificial intelligence application developers.
PackageMaintainerChen-Tse Tsai <ctse.tsai@gmail.com>
PackageNamelibsvm3
PackageSectionlibs
PackageVersion3.21+ds-1.1
SHA-142D514AF15CA1AFD970F9230AC09184EC92BC569
SHA-25665682D86F69E1C4880333433DF8494959A7546CFA6601ADC14F641965F6BBE97