| Key | Value |
|---|---|
| MD5 | BF8F8785E1C5DBEDC87BBD3634AFE959 |
| PackageArch | i386 |
| 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 | 3.el5 |
| PackageVersion | 3.18 |
| SHA-1 | A855D7CC00B78BAB291EF53D345263E6B52694BE |
| SHA-256 | B99228A2DFAA6546E73A2FF93DBB240E5E454A7AD632FA161CF9ED2B04F41C18 |
| 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-3.18/FAQ.html |
| FileSize | 78969 |
| MD5 | EB9D36DEFA52ACD92E7BFB4D21C8AC97 |
| SHA-1 | A07B9E0E8F5FCE46B7304D1E745AA32B9BAC3068 |
| SHA-256 | D13FC48144F76F579B483D59AAE10D163B23D11D457FB1B5008789C4D3C0EE89 |
| SSDEEP | 1536:P5ex21WPUxg5nskopincmxxM+00AFziT3hy:PAx21WPUxKnskEaL00Czirhy |
| TLSH | T18D730937D9817E3B421362A59A0E65F87F1640FCA3262A11B47C40173B51F68AF3EBD9 |
| Key | Value |
|---|---|
| FileName | ./usr/bin/svm-scale |
| FileSize | 11064 |
| MD5 | 48009827CCA86A2420BBF80FB61F2566 |
| SHA-1 | 267E2F12E955629CA6313E251437A72F93B72A3B |
| SHA-256 | 4BFA5CA9531175CB33A92261DA329BF2457FF8F66F7DF5AC09C9515337C0831D |
| SSDEEP | 192:fySzdLce/WClsOI924qgr83EOiKF7mq+qa6+VwxY0e+2u106drYM8J:fMBqgr83XJ4zV+c+2uJdrYM |
| TLSH | T13732E742BB0BC9F7C9170B344447E73B5A31ED18A902AF0BF6082A586D377A5370EB95 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/libsvm.so.2 |
| FileSize | 56044 |
| MD5 | B73D0FB5359EF78A1853DC3BBF70D053 |
| SHA-1 | AE5B7023F70C725957439CF38D80592946D9CAD1 |
| SHA-256 | 2D52F4F05F55AFB2445C572B76079D961650C581D221EA4963272DCB83F16355 |
| SSDEEP | 1536:tJpAJetqIRMsVOLLSurkS9bH5Wh+eO31rt:tcJeHRTOLLSeKhbO |
| TLSH | T125432B07FE42A97AC466067145CB937BAB206D358403872BBE486F1CB93BED56B0D713 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libsvm-3.18/guide.pdf |
| FileSize | 297323 |
| MD5 | B1543809993E2653DD2787F62C3C390A |
| SHA-1 | B86B1FF617E294448A922C190F3A8873F0A36A5F |
| SHA-256 | 01456B09D31E14B8C2FCC9D7279C8016B271E94EBAEA9C8440893AE0FEE3B033 |
| SSDEEP | 6144:xWUs5VqVt3VZzZTtsaUJ8wdMVh85c88SZwGiLnc:xWUs5q3jzZp2J8uI+98YwGiLc |
| TLSH | T11054CFB9F6881CCDF4C3CF369439711D963EB2A79DD8784250788A50D1CA5896BA37C3 |
| Key | Value |
|---|---|
| FileName | ./usr/bin/svm-train |
| FileSize | 11536 |
| MD5 | 2A38C0C58139B2E83F07AD74541814F3 |
| SHA-1 | EF2E30FE52C73749B01A0DEE83359FA6C032E6DD |
| SHA-256 | 38C010A591FD88D72C8600E7A46343A056CFCFBCC69ADD57B3664671C1CEED9C |
| SSDEEP | 192:fFtQkEl1WJb3N2o8MX+DFkGNEZfgabb+CnPBBp63ZZHdet1kuquUfEEJoi:fgFXo8zFfGfZbRnZ4ZZHdW |
| TLSH | T1EE32E713F747DDB1E86A063111878A3A6371ED0AAE11FF07B28D69686C3275B6B07F44 |
| 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/bin/svm-predict |
| FileSize | 8692 |
| MD5 | E3B2D073B66A9C6242C452A794AA3C88 |
| SHA-1 | 96DBC46F2122CB2CE2BE89C958630DDD550AE052 |
| SHA-256 | 7BE44EEE4B05C763427C33089F6241017C834A70EEC2DE2808491F40C0112E5D |
| SSDEEP | 192:fUnrgt35aJFN2tPst10eFQUpJcrG3e9c8uJZO:fCrem8Ps70eF9pOrce9c8k |
| TLSH | T1D902C882B243CD72D8974235424756361636DD056FF1CF07B2885EBCAE2379CAA07791 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libsvm-3.18/ChangeLog |
| FileSize | 8742 |
| MD5 | 70A756B67313DA158CE81B09870CC921 |
| SHA-1 | CE80921D8CC79C70D6B484567CBD47DAEA5EC2C6 |
| SHA-256 | 68F6BB974E13E7CC653519C05FF69F6C295BED3D5AB6B5749CE4FC323D64B946 |
| SSDEEP | 96:b4kdLuVZcK5KarMWKgdLEKhJJ4mOZwr8vySUQoR8azyzOfPXoQSHqd0/H4Z1YB9F:8uqMhZ76SUcuIOnYYzZL+iV4u2o+G8 |
| TLSH | T1B202E92122113B69F10B01EE26665260ABAC207B33672E58796DC1653F43CF6F57A3F9 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/pattern/vector/svm/COPYRIGHT-libsvm.txt |
| FileSize | 1497 |
| MD5 | D4605E317DFD4436B5752A0107AE53B4 |
| SHA-1 | 8355C7EBF2C70B09520C728E6A25198BEFF539CB |
| SHA-256 | F6E01FB4F9E1AAB38893A60E8535F0EAC23841C6041EEC15E4A84DD1973AB46F |
| SSDEEP | 24:hBjsaKUnogbOYrYFT5JOrYFTFvxBTPx9LFmr43sEskCaWROt32sByxtdfy33tZoB:hB1NOYrYJWrYJ5zPbxmr43JD32sBEtI6 |
| TLSH | T18D31C72722440BA74DF2174170AABDC0B09DD03E3F235E051C7AF288976B12FD5BB452 |