Features

 Column-based data extraction Automatically scans for sensitive data using common PII keywords like username, password, token, email, dob, and more. Custom column targeting with LIKE_SEARCH Target columns by name using your own comma-separated keywords: 

-o LIKE_SEARCH=secret,auth,email

Regex-powered value hunting with REGEX (python based) Perform deep content inspection across all columns and tables, even if column names don't match anything:

-o REGEX='^$2[aby]$.{56}' # Find bcrypt hashes -o REGEX='\d{16}' # Match 16-digit credit card numbers

Dual match logic

Full row output when columns match PII or LIKE_SEARCH Targeted cell output when regex matches values (even in unknown columns) Example Usage 

nxc mssql 192.168.1.100 -u sa -p 'Password123!' -M mssql_dumper -o LIKE_SEARCH=apikey,auth \ -o REGEX='\d{4}-\d{4}-\d{4}-\d{4};(?i)bearer' -o SAVE=true

POC

Module Options

1 - SEARCH Semicolon-separated regex(es) to search for in Cell Values

2 - LIKE_SEARCH Comma-separated list of column names to specifically look for

3 - SAVE Save the output to sqlite database (default True)

Coming Next Work in progress to enable data retrieval through linked servers expanding the attack surfce.