Result for 0AE101E07F40A2CB5E96D0C1106FFBDE33FE0EAF

Query result

Key Value
CRC320FFFFC94
FileName__init__.py
FileSize47
MD53E54A9F3A4F8B199123B5FFCB8A66735
OpSystemCode{'MfgCode': '1006', 'OpSystemCode': '362', 'OpSystemName': 'TBD', 'OpSystemVersion': 'none'}
ProductCode{'ApplicationType': 'Operating System', 'Language': 'English', 'MfgCode': '1722', 'OpSystemCode': '599', 'ProductCode': '163709', 'ProductName': 'BlackArch Linux', 'ProductVersion': '2017.03.01'}
SHA-10AE101E07F40A2CB5E96D0C1106FFBDE33FE0EAF
SHA-256DF3376F6B567A1033B5E36083B63900BA752B86C1FE3C07014ECE9F286B31D3B
SSDEEP3:SyIFGaMIQlAyItyLvYgeyn:SbFGaMtlAyq2YgR
SpecialCode
TLSH
dbnsrl_modern_rds
insert-timestamp1646981730.9097846
sourceNSRL
hashlookup:parent-total2
hashlookup:trust60

Network graph view

Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize17590
MD54FB2FC83E1049F06BC0FC9451418C442
PackageDescriptionPython module for fuzzy string matching Various methods for fuzzy matching of strings in Python, including: . - String similarity: Gives a measure of string similarity between 0 and 100. - Partial string similarity: Inconsistent substrings are a common problem when string matching. To get around it, use a "best partial" heuristic when two strings are of noticeably different lengths. - Token sort: This approach involves tokenizing the string in question, sorting the tokens alphabetically, and then joining them back into a string. - Token set: A slightly more flexible approach. Tokenize both strings, but instead of immediately sorting and comparing, split the tokens into two groups: intersection and remainder.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-fuzzywuzzy
PackageSectionpython
PackageVersion0.15.0-2
SHA-1265EACA81B6DEF56947C42B353DAF4711407954B
SHA-25628DF5EB1EAFDA648D58240B00AAF003FA78DB18244D468D8B7E03636ECB8081A
Key Value
FileSize17686
MD565AC28C4DE899C836D5B6C4B97A093AB
PackageDescriptionPython 3 module for fuzzy string matching Various methods for fuzzy matching of strings in Python, including: . - String similarity: Gives a measure of string similarity between 0 and 100. - Partial string similarity: Inconsistent substrings are a common problem when string matching. To get around it, use a "best partial" heuristic when two strings are of noticeably different lengths. - Token sort: This approach involves tokenizing the string in question, sorting the tokens alphabetically, and then joining them back into a string. - Token set: A slightly more flexible approach. Tokenize both strings, but instead of immediately sorting and comparing, split the tokens into two groups: intersection and remainder. . This package contains fuzzywuzzy for Python 3.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-fuzzywuzzy
PackageSectionpython
PackageVersion0.15.0-2
SHA-117B5F4A40F116E414E24D60C487E6D7B0C15AC6A
SHA-2568CC0453CB2C5397C5F39670E0E17588894FD91F16C49C48ADD23F7BD73428042