| Key | Value |
|---|---|
| MD5 | 4201EF6F27DD8C766ABE40352905F12A |
| PackageArch | s390 |
| 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 | Fedora Project |
| PackageName | libsvm |
| PackageRelease | 1.fc16 |
| PackageVersion | 3.1 |
| SHA-1 | BCC5EE965893767A3F3E16CDD99E1388EB2EAD2C |
| SHA-256 | 567D0634736C188005A6D33D098AD27D91B2BED8C0990BFA6F544972E6400D27 |
| 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-3.1/COPYRIGHT |
| FileSize | 1497 |
| MD5 | 740DA4A71619E50D54EDF2A75E1579FC |
| SHA-1 | 84D8FC7B7F39DBA0F9E9548474E87E2621417B03 |
| SHA-256 | D0A4AF91A72D8A4247022FD553D2F0A54840CD83FA096FD4E5AF1D37B2A8F0CE |
| SSDEEP | 24:h0saKUnogbOYrYFT5JOrYFTFvxBTPx9LFmr43sEskCaWROt32sByxtdfy33tZolL:hoNOYrYJWrYJ5zPbxmr43JD32sBEtI3q |
| TLSH | T1E531C72722440BA74DF21741746ABDC0B09DD03E3F235E051C7AF288976B12FD5BB452 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/libsvm.so.2 |
| FileSize | 51684 |
| MD5 | 0094C77131ACA1224E820EB57E1AD39D |
| SHA-1 | F1592CF0C5AA6035E818BFB735B61625F177DBA6 |
| SHA-256 | 27A91A59B40621C819A1EC0D0C8DE61E94763E9703868B7E4E6985E426EC25BB |
| SSDEEP | 768:fB3Xr7T+hDgazvTg3t4l3kVMT3E1b9ijv221hHF6XmoZ8:fpb7T+hDgEs3t4l3kODEzqPemv |
| TLSH | T1FA335D4E7A619BBBCCBF063A95BF83DF27B654300C1A494EDB49837DEC8B6C58502611 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libsvm-3.1/ChangeLog |
| FileSize | 6704 |
| MD5 | A7BEF205100DE7E6E27D01592C2E1623 |
| SHA-1 | 5C539D6D43175AAB6BC2DE7BD180EC2C7979D387 |
| SHA-256 | 237D3F1DEB0E3EF29D952ADD434EB34EDAE8FA467CA74F24A9ED3EAC84D2CF92 |
| SSDEEP | 96:b4kdLuVZcK5KarMWKgdLEKhJJ4mOZwr8vySUQoR8azyzOfPXoQSHqd0/H4Z1YB9H:8uqMhZ76SUcuIOnYYzZA+e |
| TLSH | T1D3D1C85025112775B11B00EE1A665260FBAC20BB232B2F58497D80722E82CF7E97E3B9 |
| Key | Value |
|---|---|
| FileName | ./usr/bin/svm-scale |
| FileSize | 13832 |
| MD5 | 94C3F3CC2F2577BF661FCD0D700E3841 |
| SHA-1 | 157AF7A519721636D57178AE27269EA36E61FED6 |
| SHA-256 | EB00ED8BB61E670AABF555689AB2861F14CE59B327B9F1009D2CE774E69B3BA1 |
| SSDEEP | 192:t4k7skAHaEbDLjaZkuryG/fh620jVtJMApO1mi:tshamDaFryGR4VtmuXi |
| TLSH | T10C52E74FA33DCBF2CDD9133A5DFB479B1B37D9B09A1A029663489F993C576088C02615 |
| Key | Value |
|---|---|
| FileName | ./usr/bin/svm-predict |
| FileSize | 50876 |
| MD5 | FFF9C1EE364B76B9B59964346ED1ECDD |
| SHA-1 | 353E738B08984DA9F06A73582DA59975AAB1F528 |
| SHA-256 | 7524DF5B5627280E0AACB8D27544C1FC8D9086A778C58EDD25202619CD00BE3C |
| SSDEEP | 1536:EsE3rw+HKJMLv1MpUujEiOUEY/+P2iI8+X0:EsE3JK+bfUOUE6+PNI8+k |
| TLSH | T19F333B8D3E6197F6CCFE02B5A6BE83DB1777D8701C2A458E9B41C3AE5C9B6058E03511 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libsvm-3.1/FAQ.html |
| FileSize | 67120 |
| MD5 | 54AB0117FE7D3D26A75552434D2A647D |
| SHA-1 | 0F460C08DA75890D9013A51578D2068C6E58B2C6 |
| SHA-256 | BC4797518D262F59FBE8FC8910A2B728E568BC550F77E835BB392EF1CB092F1E |
| SSDEEP | 768:16yt9pEEQrxm6qICgpwSFqGwRU9Xx/X1uJB7WOKGTmZwVPuxM1TJcBDS+cwWBlOM:1jtKxmzcHHxPJomhxMHUXvjlRo |
| TLSH | T16F63EA37DD81AE3B425362A59A0E65F87B5640FCA3262A01B47C40173751F68AF3EBD8 |
| 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/bin/svm-train |
| FileSize | 54984 |
| MD5 | 9D570D0A493CA238BB9F066F6CD41DD6 |
| SHA-1 | EE72BEDC676821C3D08278D0B790CC691AC27D62 |
| SHA-256 | 065C1A9ABCCA537B54A2E47021B690AD4EDD4F38DA5945EA052D2F8C1F18183D |
| SSDEEP | 1536:FsQHKbpI+9zT4HQEwQuiMb8yfh6L7PtLd3PcPE:FsHHzkwuI8s+7Pth3PcPE |
| TLSH | T19E333A8D7A61D7FAC9EE0275A2BE83DF17BBD4301C2A468E9B41C35D5CCB606CE02911 |