Possible active debug code detected. Deploying an application with debug code can create unintended entry points or expose sensitive information.
Recommended Fix:
Remove ex.printStackTrace(): In production code, avoid printing stack traces directly to the console as they may expose sensitive information.
Use a Logging Framework: Instead of printing the stack trace, use a logging framework (e.g., SLF4J, Log4j, or any other) to log the error at the appropriate log level (ERROR, WARN, etc.). This allows you to control the log output and handle sensitive information better.
Throw a Custom Exception or Log a User-Friendly Message: If necessary, throw a custom exception with a more descriptive but non-sensitive message.
Key Points:
Log Error Messages Securely: The message in the logger.error() call doesn't expose the full stack trace, but you still log the error message. For development and debugging, you can use logger.debug() or logger.trace() to log the stack trace when needed.
Control Logging in Production: By using a logging framework, you can configure your logging output in production to avoid exposing sensitive information while still logging details for debugging purposes in development.
This approach resolves the "active debug code" issue and improves the security and robustness of your code.
Possible active debug code detected. Deploying an application with debug code can create unintended entry points or expose sensitive information.
Recommended Fix: Remove ex.printStackTrace(): In production code, avoid printing stack traces directly to the console as they may expose sensitive information.
Use a Logging Framework: Instead of printing the stack trace, use a logging framework (e.g., SLF4J, Log4j, or any other) to log the error at the appropriate log level (ERROR, WARN, etc.). This allows you to control the log output and handle sensitive information better.
Throw a Custom Exception or Log a User-Friendly Message: If necessary, throw a custom exception with a more descriptive but non-sensitive message.
Key Points: Log Error Messages Securely: The message in the logger.error() call doesn't expose the full stack trace, but you still log the error message. For development and debugging, you can use logger.debug() or logger.trace() to log the stack trace when needed.
Control Logging in Production: By using a logging framework, you can configure your logging output in production to avoid exposing sensitive information while still logging details for debugging purposes in development.
This approach resolves the "active debug code" issue and improves the security and robustness of your code.