| Key | Value |
|---|---|
| MD5 | 8F809743512E7DB6F6DF0BDEE2AC015E |
| PackageArch | ppc64le |
| 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 | 5.fc23 |
| PackageVersion | 3.20 |
| SHA-1 | 67EA5E068FFAD481E28F3526268199C9BA2C1208 |
| SHA-256 | 8523F34F6CE2679AFCF94EB2E485B1B86CDC16596C82DEB276C02EB8E2ED6D32 |
| 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/lib64/libsvm.so.2 |
| FileSize | 135240 |
| MD5 | C4A6DE1CD13744F756BF00537FDF3CE3 |
| SHA-1 | 2D1A80F71247106D8D7303FF81CE50AE22B24C56 |
| SHA-256 | 34E10ABDF28C6AAC8D42185C2D15C01BAF637127AD185F36C3AAFC2D54CDB065 |
| SSDEEP | 1536:xXfrzJPkvmn136TIH/feZrDbncotz33HftTA+n19TpooG7CmNg:lrBD8zn5AW3r |
| TLSH | T195D35D16361C5F9BEF01287B869E559073613C0707288B67F944432FAFE6B2D8F56C8A |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libsvm/ChangeLog |
| FileSize | 9314 |
| MD5 | 9444B10A60253FCC1B4FEEC621EB883D |
| SHA-1 | 9ECC486CB1F791E10043AAEE3304C9E1E8DDB686 |
| SHA-256 | 2E88BA2E676650CC6AA0B96C92B3370471DA93287F8E3664DF601DF17EEE9209 |
| SSDEEP | 192:8uqMhZ76SUcuIOnYYzZL+iV4u2o+G3rOsx:8jiZ76xcuIOnNzZLSu2G3rOsx |
| TLSH | T15412D91162113B69E10B01EE16669260ABEC607B33672E58396D80653F83CF7F57A3F9 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libsvm/FAQ.html |
| FileSize | 78967 |
| MD5 | 3AD7897FC3B6EC10888DFF5F566A2BAE |
| SHA-1 | 4792C414124F1D44EDA42EA3FB2DD7296518B6BE |
| SHA-256 | C46A342BE7039B650F4CFF1554C57C288BDCF198412AE1DB1AC7D2D4F9494CE3 |
| SSDEEP | 1536:45ex21WPUxg5nskopincmxxM+00AFziT3hy:4Ax21WPUxKnskEaL00Czirhy |
| TLSH | T10B730937D9817E3B421352A59A0E65F87F1640FCA3262A11B47C40173B51F68AF3EBD9 |
| 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-scale |
| FileSize | 69032 |
| MD5 | AAD93C4CCC3EF4A8A67336815B3F1EF7 |
| SHA-1 | FABEE52C35060324624CA395023DC7215CE8806E |
| SHA-256 | 3A90DB48F05D85E75960DAA0A7B41DCADD8C43DFE3DF7EAC4D2CEE247817CBE8 |
| SSDEEP | 384:RmqP+9VJ4oVe7DeTt8Wa0hOm1zGUZi+t8drY0YF8or:X8VJ9e7aTt8n4FLi+aJe |
| TLSH | T140631A1333498B5BD75E123A827F0960B3727E021365434BA054671B3FAAB399F6ED4D |
| 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-train |
| FileSize | 69128 |
| MD5 | 04F1CA547E0001A361E5F97C7156B7D7 |
| SHA-1 | 20BC97F41530C31F21D154C719A6DCCAF328AA3F |
| SHA-256 | E39852A43859F614806C36A1CE76C3DB1AE774C53A78DA211416CEBA533451EC |
| SSDEEP | 384:mjTpmXhO+wq93icPA4ifbifihTZZHd+TQjwg:mjG9kFTITQj |
| TLSH | T15963C743326DCF6AEB4E1137A29F1630B3B2BD4713515307614467292E9AB2ECE2F64D |
| 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 |
| Key | Value |
|---|---|
| FileName | ./usr/bin/svm-predict |
| FileSize | 69072 |
| MD5 | 39EFA49AD359EBFE05AEAA6D8B546DCA |
| SHA-1 | 53F7D1AA15E370C3D2A63218FF315AC5D8ADB896 |
| SHA-256 | 6C5709880DF83E5F5914C81300ED685745262ED7E24F0E92F4FD2FF6D55233CE |
| SSDEEP | 192:YcatXwpbqEnKTMyhOWMz/MpV7hx7Dkpo+3p9ctkVndyrnCoy6MSr8:AsBnKwyhOWMTMpTx7DkW0p9ct8vN6 |
| TLSH | T17A63D71373798F6ADB9E263A92AF06707373BD421361030791006B262FD9B1D8E7E959 |