RegEx for Sensitive Data

Here is the regex we can use it in the scripts (python I preferred).

    'password': r'(?i)(?=.*[a-zA-Z])(?=.*\d)(?=.*[!@#$%^&*()\-_=+{};:,<.>]).{8,}',
    'jwt_token': r'(?i)Bearer\s+(?:[A-Za-z0-9\-_~+\/]+=*\.)+[A-Za-z0-9\-_~+\/]+=*',
    'credit_card': r'\b(?:\d[ -]*?){13,16}\b'

In this code, the pattern r'(?i)(?=.*[a-zA-Z])(?=.*\d)(?=.*[!@#$%^&*()\-_=+{};:,<.>]).{8,}' is used to identify potential passwords. Let's break down the pattern:

• (?i) makes the pattern case-insensitive.

• (?=.*[a-zA-Z]) ensures that the potential password contains at least one letter.

• (?=.*\d) ensures that the potential password contains at least one digit.

• (?=.*[!@#$%^&*()\-_=+{};:,<.>]) ensures that the potential password contains at least one special character.

• .{8,} enforces a minimum length requirement of 8 characters for the potential password.

'jwt_token': r'(?i)Bearer\s+(?:[A-Za-z0-9\-_~+\/]+=*\.)+[A-Za-z0-9\-_~+\/]+=*': This pattern is designed to match potential JWT tokens preceded by the word "Bearer". It looks for sequences of alphanumeric characters, dashes, underscores, tildes, plus signs, forward slashes, and periods that resemble JWT tokens.

'credit_card': r'\b(?:\d[ -]*?){13,16}\b': This pattern is used to identify potential credit card numbers. It matches sequences of digits that have a length of 13 to 16 characters, allowing for optional spaces or dashes between the digits.

These patterns are just examples and may require further refinement based on the specific formats and validation rules of JWT tokens and credit card numbers in your use case. Make sure to adapt the patterns according to your requirements.

Remember to implement additional security measures, such as secure token handling, proper credit card validation, and compliance with relevant data protection regulations, to ensure the sensitive data is handled securely.