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Valid SSN numbers are not identified and flagged when this tool is scanned with the pattern to identify using following regular expressions:
?!666|.+0{4})(?:\d{9}|\d{3}-\d{2}-\d{4}
(?!666|.+0{4})(?:\d{9}|\d{3}-\d{2}-\d{4})
\b(?!666|.+0{4})(?:\d{9}|\d{3}-\d{2}-\d{4})\b
while default.py doesnt have a default pattern for regular expression like various credit cards that are validating successfully. Are there any directions as to how LUHN algorithm or the code in sanity.py handles & does matching with data present in txt files against regular expressions.
The text was updated successfully, but these errors were encountered:
Valid SSN numbers are not identified and flagged when this tool is scanned with the pattern to identify using following regular expressions:
?!666|.+0{4})(?:\d{9}|\d{3}-\d{2}-\d{4}
(?!666|.+0{4})(?:\d{9}|\d{3}-\d{2}-\d{4})
\b(?!666|.+0{4})(?:\d{9}|\d{3}-\d{2}-\d{4})\b
while default.py doesnt have a default pattern for regular expression like various credit cards that are validating successfully. Are there any directions as to how LUHN algorithm or the code in sanity.py handles & does matching with data present in txt files against regular expressions.
The text was updated successfully, but these errors were encountered: