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.
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.