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[birongliu]

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To address this issue, we should prevent the clear-text logging of user emails in the handler. Specifically, in backend/api_endpoints/generate_api_key/handler.py, line 7 should be removed or modified so that the user's email is not present in log output.

The best way is to either:

• Remove the log message entirely (preferred in most cases).
• Or, replace it with a generic log message that does NOT include the user_email, e.g., "GenerateAPIKeyHandler called".

You only need to change the code in the handler where the sensitive data leaks to the logs. No imports or additional functions are needed.

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To fix this problem, remove the direct inclusion of user_email from any log messages in backend/api_endpoints/generate_api_key/handler.py, specifically from line 11. Instead, use a generic message that does not contain sensitive information. The log message can simply state that a user has insufficient credits to generate an API key, omitting the email address.
No functionality of the API or flow will change, only the logging message is sanitized.
No additional methods or imports are required, as we are only changing the print statements.
Only backend/api_endpoints/generate_api_key/handler.py needs to be edited: remove the user_email variable from the print statements on lines 7 and 11.

To fix this problem, we should avoid logging sensitive data such as API keys. In particular, we must ensure that the API key, present in the result dictionary, is never logged (even accidentally, via stringification of the entire dictionary). To maintain useful observability for debugging or audit purposes, we can still log non-sensitive details such as the fact that an API key has been generated, along with user- and metadata (such as key name and id), but we must NOT include the key itself in any log output.

Detailed fix:

• On line 19 of backend/api_endpoints/generate_api_key/handler.py, change the print statement to log only non-sensitive information (e.g., the new key's ID, name, and the user it was generated for).
• Do not log the entire result dictionary, since it contains the API key under the key field.

No new imports or functions are needed for this change.

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To fix the information exposure issue, we need to ensure that internal exception details are not revealed to the API client. Instead of including the exception's string representation in the JSON response, we should return a generic error message. The original exception (or its stack trace) should be logged server-side for debugging purposes, but not exposed to the user. To maintain debuggability, we can use the standard Python logging module to record error details.

The change will be made specifically to the except block of GenerateAPIKeyHandler in backend/api_endpoints/generate_api_key/handler.py:

• Add an import for logging at the top if it is not already present.
• In the except block, replace the current print and response with:
  • Log the exception using logging.exception, which includes the stack trace.
  • Return a sanitized and generic message such as "An internal server error occurred.".

No other changes or dependencies are needed.

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To address the issue of clear-text logging of sensitive user information, you should remove (or suitably redact) all debug or info statements that log the user's email address directly. In this specific case, the statement at line 14 of backend/api_endpoints/payments/handler.py logs the full email address for every session created. This should be eliminated or replaced with a non-sensitive, non-identifying message.

General Steps:

• Remove or redact any log/print statements that output the full contents of userEmail.
• If logging is needed for tracing or debugging, consider including less sensitive context, such as the presence of a user or the fact that the handler was called, without including the user's email. If unique identification in logs is necessary, consider hashing/redacting the email.
• Apply similar fixes to other locations that log full user email addresses, focusing on lines with print(f"...{userEmail}...") or similar outputs.

Specific Change:

• In backend/api_endpoints/payments/handler.py, remove or revise line 14 so that it does not output the email, but still allows for tracing calls to the handler in a generic manner.

No additional imports or helper methods are required to simply remove a print statement.

To fix this problem, we should remove or redact any logging of sensitive information such as the user_email variable. In backend/app.py, line 855 currently prints the full email value. The best fix is to replace this with a more generic message that does not expose the email address, such as simply confirming that extraction succeeded ("DEBUG: user_email successfully extracted"). If retaining some form of log is critical for debugging, we can log only that the value exists, or (if it helps) log a truncated/redacted version (such as only the domain), but best is to avoid even that unless required.

Changes required:

• In backend/app.py, remove or redact the log on line 855 so that the email value is not directly logged. You can log that the extraction succeeded, but do not include the value itself.

No further edits, imports, or dependency changes are necessary.

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The best way to fix this problem is to avoid logging sensitive data altogether. In this instance, user emails are sensitive and should not be printed to logs. If logging is needed for operational reasons, the log can be modified to avoid including user-identifying information (like email addresses). For the given function, simply omitting the email from the log message provides sufficient logging for auditing the credit deduction event, without exposing PII. Optionally, if high-granularity logs are truly required (e.g., for troubleshooting specific support incidents), logs should be controlled by a debug flag/environment check and the output should be sanitized or hashed.

Required changes:

• In backend/database/db.py, in the deduct_credits_from_user function, replace the current print statement on line 656 with one that omits or redacts the user_email.
• No new imports or methods are required.

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To fix the problem, we need to remove or redact the logging of sensitive information such as user's email addresses in print statements. Specifically:

• In backend/database/db.py, inside the generate_api_key function:
  • Remove the line printing email and key_name.
  • Review any similar log statements involving user emails or sensitive values and redact or remove where possible.
  • If logs must stay for operational reasons, mask part of the email (e.g., 'j***@gmail.com' instead of full).
  • For consistency and thoroughness, review nearby code—log lines such as the one in deduct_credits_from_user should also be considered, but our alert applies specifically to generate_api_key.

No additional imports or method changes are necessary unless redaction (email masking) is required, in which case a small helper can be introduced. However, the best fix is simply to avoid logging the sensitive information at all.

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To fix this problem, prevent logging the user's email address in cleartext at line 666 of backend/database/db.py. Instead, either log a generic query message without any user PII or, if necessary for debugging, redact or mask the email (e.g., by logging only part of it or using a hash, although even this should be considered carefully). For this case, since the query content is not uniquely useful for debug purposes (and the actual parameters are shown elsewhere if needed), the simplest and best fix is to remove or revise the log message so the email is not displayed.

Locate the line in generate_api_key function:

666:     print(f"Executing query: SELECT id from users WHERE email = '{email}'")

Change it to either remove the log altogether, or replace it with a non-sensitive generic message such as:

666:     print("Executing query to fetch user id for API key generation.")

No new imports or definitions are needed.

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The fix is to remove the sensitive information from all log statements. Specifically, on line 697, do not log the complete result dictionary since it contains the clear-text API key in the key field, which is sensitive. If logging is needed for debugging or tracking, log only non-sensitive fields (such as id, created, or name), but never include or log the API key. The change is restricted to the shown region in backend/database/db.py, line 697.

No extra imports or method definitions are required. Replace or remove the offending log statement; if you want to retain traceability for debugging purposes, print only the non-sensitive fields.