| Key | Value |
|---|---|
| MD5 | 180F6ECFEBE36457ED6139204E1E11E5 |
| PackageArch | ppc64 |
| PackageDescription | LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC ), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM ). It supports multi-class classification. |
| PackageMaintainer | Koji |
| PackageName | libsvm |
| PackageRelease | 3.fc15 |
| PackageVersion | 3.0 |
| SHA-1 | F61A4D9065E15F62E3F6A48C32C6CFCFB71EAE5E |
| SHA-256 | 40AB4691F273D8EC565071325C2543EEF12D53CBB625278E88B08F10F63C69AD |
| hashlookup:children-total | 9 |
| hashlookup:trust | 50 |
The searched file hash includes 9 children files known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libsvm-3.0/ChangeLog |
| FileSize | 6060 |
| MD5 | 730D7B13EB1840FD357E0DDABA10A545 |
| SHA-1 | 270D8CA60C1BAA9E71EA48ADDF27BAA6B0E0A163 |
| SHA-256 | 6D50A55B834D63229360A307C54277E8455605D61573C24B32F792B5BA429E34 |
| SSDEEP | 96:b4kdLuVZcK5KarMWKgdLEKhJJ4mOZwr8vySUQoR8azyzOfPXoQSHqd0/H4Z1t:8uqMhZ76SUcuIOnYYzZH |
| TLSH | T1A9C1D954250177B5B61B00EE1A665260FFAC20BB232B2B18497DC1711E42CF3E97E2FD |
| Key | Value |
|---|---|
| FileName | ./usr/lib64/libsvm.so.2 |
| FileSize | 72744 |
| MD5 | A4AEB627C80C4A7AF5872CFC0BDBEC13 |
| SHA-1 | E08243156D8C318F93AFB81226EDB7F411CD977A |
| SHA-256 | 57840F09900675D730A84384244753AFE75A4B557D6CC48A347F6ABC8AE9DE16 |
| SSDEEP | 1536:7r0377/S8Dx7bGo2j5DI05DJZZlpfA94arWb:7O77qKx7C9FdTZlxA9 |
| TLSH | T1166349EBFB944E17E6061FB1550D2BFCD7AC47080A687305FA0F1BAA50E2A94510EFE1 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libsvm-3.0/COPYRIGHT |
| FileSize | 1497 |
| MD5 | 3C40542870982C74D3B8B014BBEAAFEF |
| SHA-1 | AD727838FFA7CB27A3B2320EFBCDE68F96C182D3 |
| SHA-256 | B36EF526C8788900F52E7C3750BFBEFE3744E33D434CFF91BC822F58B3E6028E |
| SSDEEP | 24:hxsaKUnogbOYrYFT5JOrYFTFvxBTPx9LFmr43sEskCaWROt32sByxtdfy33tZolL:hPNOYrYJWrYJ5zPbxmr43JD32sBEtI3q |
| TLSH | T10431C72722440BA74DF21741716ABDC0B09DD03E3F235E051CBAF288976B12FD5BB452 |
| Key | Value |
|---|---|
| FileName | ./usr/bin/svm-train |
| FileSize | 66320 |
| MD5 | E80D45C410B584FDD1A164A625772FEB |
| SHA-1 | DF1D7062427FDD37C97D90551E853793A66059C6 |
| SHA-256 | 68F8528BBE3B67D779697FFF0367D431CB604FEA4E0503314D3364B95DD0D7CF |
| SSDEEP | 1536:VsktkhiMTHolkVImDemZdh7Tms5HlZAGgqKfG1:VskAiKHoe2uZis5fAGg2 |
| TLSH | T123535BC27FD80933E3166BB19A0E16FCCBE8595402786207F24F2B5950F286459BFFA5 |
| Key | Value |
|---|---|
| FileName | ./usr/bin/svm-scale |
| FileSize | 12912 |
| MD5 | DB801D14DF23A9780D01895FF9544A3E |
| SHA-1 | 5846099001AAC917CD5A795F85CB385C4A5EE344 |
| SHA-256 | 4FE6297A34B7FD9F76A0525854C262491E3E7E9F82F88DD5D9EE892DC117C5E9 |
| SSDEEP | 192:9P+1MrqhIOMO6r59Nrzp/us50erX6gj5tUOio0xsdI4i1JOm:R9EIOMO6hc4G1OidsPoB |
| TLSH | T14042A5C7BB584537E19A03B05AA513BCE77DDE085B62430BE11F127924F2A61AC7DD83 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/liblinear-tools/examples/heart_scale |
| FileSize | 27670 |
| MD5 | 8D29846F56E4B9EA0F4BF9B8083ECEF8 |
| SHA-1 | 334943732A99504D0F0A2E850B3C196D997F3AC9 |
| SHA-256 | 5DEFA0A4C4C5BDAF3F55AE3828310252E8565C13EE37CE279E0B86D82E7F4CE9 |
| SSDEEP | 768:IAySnUgNYA6SpFbpfk4TQjK5SgyzRzSoJZItWxbjm+8d6Kj2vmnpINNoGesqGt6P:IAySnUgNYA6SpFbpfk4TQjK5SgyzRzSh |
| TLSH | T123C23ED3D3D84140182CA4A1A82C1FE2DF2F326E7D739D7E1A69748416678DFE69BD02 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libsvm-3.1/guide.pdf |
| FileSize | 197287 |
| MD5 | AAE7A8F7E357E86E1C893B706BB02A63 |
| SHA-1 | 0724B1342E4447431D5E387DC7EBB8BBEEB5FC70 |
| SHA-256 | 7547C7E5E1B4AE4652554DD8101B52DE3822E7EB6687049834AA4DBB34E7791F |
| SSDEEP | 3072:2/gXaqIDVsbEk+0uq4jtoJMl+U9Bcl0/XfpCszDLzgYITPMp:9KTVqKjtiMV9BIIPpCsQ/o |
| TLSH | T18C14BE79E6881CCDF4C3CE3A953A715D867FB2978CC9B49250388A55E0C284D6BA37C3 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libsvm-3.0/FAQ.html |
| FileSize | 66989 |
| MD5 | 644FF7B9D90D120B16E208DF44C94EBF |
| SHA-1 | CB5A192460658ED0973B880DDE2F201971068536 |
| SHA-256 | 17A1DA00E82B779267B51C0D648B1DED703190D9ED93D15DAECFF381A1DE6E7B |
| SSDEEP | 768:NRBt9pBEyrxbCaCgOqGjUvXx/X1uJB7WOKGTmZwVPuxM1ClcBDn+cwWB1lxs8cKL:NzcUxbCTH+xPJomhxMg/XbjlRo |
| TLSH | T1CF63EA37D981AE3B425361A59A0E69F87B4740FC63263A01B47C50173751F68AF3EBD8 |
| Key | Value |
|---|---|
| FileName | ./usr/bin/svm-predict |
| FileSize | 62984 |
| MD5 | 9FC253F8F974B4E000A82D8623AD373F |
| SHA-1 | E88AF43F72F54512B020BFCBA95A1256DF04C0CC |
| SHA-256 | 7A74E63194ADCAF715AE2AFA7A650887C0163A4BA0A8695C54A588E32382B7FC |
| SSDEEP | 1536:PsvYynLMT19XktGHO0qpZZd2J5rGMA+L49Ty7y6aI:PsXLK19UV33k5rlA+6LI |
| TLSH | T1FE535AC17FD84837E79667B1861E2AFCCBA8459406B06206B20F5B4950F2D146E7FFB1 |