| Key | Value |
|---|---|
| MD5 | D8FA0759FABC3679649F4BA68208DF9A |
| PackageArch | noarch |
| PackageDescription | Mnemosyne resembles a traditional flash-card program but with an important twist: it uses a sophisticated algorithm to schedule the best time for a card to come up for review. |
| PackageName | mnemosyne |
| PackageRelease | 2.44 |
| PackageVersion | 2.6.1 |
| SHA-1 | 383651B46382738015B227A30644B2482B0CDB02 |
| SHA-256 | D8C333AC14EB7184910E8F487B1177D62846254B280128A8D2DCAF6C90EAFCF7 |
| hashlookup:children-total | 483 |
| hashlookup:trust | 50 |
The searched file hash includes 483 children files known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.7/site-packages/mnemosyne/pyqt_ui/configuration_wdgt_study.py |
| FileSize | 3554 |
| MD5 | 82CB4B758B2EB31A5BCC9817A8343FD7 |
| SHA-1 | 000045B4E98E76E3F913097DF8859243911FE75A |
| SHA-256 | 382DF88A3AD3696C4B4A3A3B2910836DF44D032E2A14B04AE45F8CC266B7C971 |
| SSDEEP | 48:nFOBipFHZ7GdpAY7cZnESKuNYeNZpqHW8lPalsXn:nFZhZ7GdpWKmNvedEon |
| TLSH | T13A719D42A05DA512897BDC6AA48638371D2E3B47672C0C5474BD70689FC0BE1F7E4EEC |
| tar:gname | bin |
| tar:uname | root |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.10/site-packages/mnemosyne/libmnemosyne/file_formats/science_log_parser.py |
| FileSize | 14184 |
| MD5 | 7563ABDF807CC506FAFEFA9257C779FE |
| SHA-1 | 006262BEB53764E8F4BF5C63BC283B52FA2B90AE |
| SHA-256 | 2D727021640DE4B1207438E8FEB95103837C7D0A8C40BDAD41E651D00A67D052 |
| SSDEEP | 384:20DEJ5lIGp65QPy3BTzw/yQ3bBUhrF3qDwYnYJqCMjZMej2gw4H6nMGuAzqwJagb:20YJ5XyxzcnCOxjZqgDgH2e |
| TLSH | T1BF52850363055E616B03DA399869B4C3872AE403965A563C7DACD2D42F019B9F2FBDFC |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.7/site-packages/mnemosyne/libmnemosyne/file_formats/mnemosyne2_db.py |
| FileSize | 3741 |
| MD5 | 443293D98BACEA139EE676B1C7648EB7 |
| SHA-1 | 007FD3A1D4D399605191B347B9DC1CE2731A89B6 |
| SHA-256 | FC9C511AC0E3B8260E17340D8118904AE3E9D716AA3456CE7067EF2EDA2281CB |
| SSDEEP | 96:ZgQphGDvYUUzUcvYUv070qTcm/eUXNLG484cLGgB/w16Q:mQpsvUQAvfUcm//XLPeGgNi |
| TLSH | T18671026A854F7C229397BC965012712A1A363ADB177409507EBCF2F19F402E263A7FDC |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.8/site-packages/mnemosyne/libmnemosyne/ui_components/__pycache__/statistics_widget.cpython-38.pyc |
| FileSize | 654 |
| MD5 | FC845711C60444F94AAB873122D5D863 |
| SHA-1 | 022C0CBBB71EF4558E1CFEF35F097A4467F8CC5F |
| SHA-256 | 7946734CD24B608097B1998C6BB8673F2DAAA7D7FAD95BD0F1189F2977F9502D |
| SSDEEP | 12:olwNQEgY/MoWpVokJwMTwZR6t5PQMTbBwLKL03BXTC:oGJP/MNEkJwGwZY7CLKI3F2 |
| TLSH | T15EF07D50EB4BE3A5F5A9B5705279392E11A454FB966D48120D0B61A305042C013FA744 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.8/site-packages/openSM2sync/__pycache__/ui.cpython-38.pyc |
| FileSize | 2392 |
| MD5 | 8E4292D7586875BDB50346EA5175AE88 |
| SHA-1 | 02C07BFCE575BE7920C0ABE6441969061CF9C1A9 |
| SHA-256 | FA9DAE99A7333DD7E484A743F8CE50B676B6A7FC6BA0D1477FBE1EECFC2D1945 |
| SSDEEP | 48:d7OPYgrUFwFZ/LLvb4rGoYEnoZL7ETyOKOAEYoNjrB72lREOBoAoREKSu/EN8lGE:xb7GZ/nkQEo1EjfAEBj1KrEREKfENkOw |
| TLSH | T1B441D181E3004A6FFE32FD76419A96212B724B6B571FA2823D1D405F9F457808D35FD9 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.10/site-packages/mnemosyne/pyqt_ui/add_tags_dlg.py |
| FileSize | 870 |
| MD5 | 0B38D44AC85D6EE7DC2BB11AEB704428 |
| SHA-1 | 02E76285C9F2DFFBB6F6A808426FB39D6860EEED |
| SHA-256 | 3B45319F828136FDCF7B8142B8CD0FDCB4BEB44D04A02BDD56B6A2E4F41CC11D |
| SSDEEP | 24:T72O1RZmHcAslrYsGbYRMNE5Dvaxx9/1h:1ec1sJNE5DvaB/j |
| TLSH | T179114891216AB0212377DC4342477217AA6E9A23E7194A44B0FD26B0AFA145689D4DE8 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.8/site-packages/mnemosyne/libmnemosyne/databases/__pycache__/SQLite_no_pregenerated_data.cpython-38.pyc |
| FileSize | 461 |
| MD5 | 875E5EE9517081AEE049DD7B0CCAE010 |
| SHA-1 | 040F5D4556E896E3AF7812E36C99C794705F521B |
| SHA-256 | 991E0280670331198006BCF43E9A2901F44EA11F8311B3873A21DBF4D5D27FB4 |
| SSDEEP | 6:X8SNbsu3gMlvuqe1/Vw/nvE7S9HiLIKP66GSmp7q4dVKT9YvLorkLA/rLAV8jh95:sSNQEgYv9e9UnvAR+1zVAwz8jva1O+rC |
| TLSH | T176F055E0A30F2369F50ABAFAB409B124686030F8F288E8032F845162FC1418132AFA84 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.8/site-packages/mnemosyne/libmnemosyne/schedulers/__pycache__/__init__.cpython-38.pyc |
| FileSize | 169 |
| MD5 | B759704CE0CFF1E46086D3D65AC440FD |
| SHA-1 | 04F1010718D1221D8DF7D8E6F9A286387043A099 |
| SHA-256 | CDFD1C795055BD2EC399E3462E0D80CC87BE9746E13AE1A4E2999C6E8D7FA41C |
| SSDEEP | 3:UW+Lbl/Uleh/wZWerLWXSG9YAKWMmoWrzNNcLASf0IOLANaZO4ncRkcTit:X+vt8eh/wnlG9YvLorkLA/rLAND8cD6 |
| TLSH | T1F8C02B01E50A75DBFA6FFC3B6000231404C1ECF6E347650B7F81D0541C083904D3DA00 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.7/site-packages/mnemosyne/libmnemosyne/study_modes/cram_recent.py |
| FileSize | 641 |
| MD5 | 710D0CE6E9C19B6239F45E5E54AF6C37 |
| SHA-1 | 054357B47D7B2CD4820F6DFFA697FE3B6ECF6667 |
| SHA-256 | C1E5470516B51A2EDF2E3D64724E53A17B2CE00B6D53370902FFAE6C3AB9C611 |
| SSDEEP | 12:L8nlhwEWxhO36pDBkRyDEirKW8APowT3/6/xGESd5pjKLDqEM:czPEOhZWBPoo3CxGESVqq5 |
| TLSH | T1DCF028018076327427D74C6DDA44B82905A4B0FB2B141C1278DE39B86F90AD873EE669 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.8/site-packages/mnemosyne/__pycache__/__init__.cpython-38.pyc |
| FileSize | 145 |
| MD5 | B6C78F85FBC25D146E20EC7878AF1D8C |
| SHA-1 | 054E541671623DF7BBAC6DCE47EC04B77259326E |
| SHA-256 | 24DB5F94D0EF3C48869A30C19A332F10C62E02333E55322D1C708FC716B0954D |
| SSDEEP | 3:UW+Lbl/Uleh/wZWe/JG9YAKWMmoWrzNNcLAiRkcTit:X+vt8eh/wtG9YvLorkLAiD6 |
| TLSH | T158C09200DA5AA6E7EA6EFD326010632805C6EDF6E28B964B3A4661995C5A3900CBA900 |