Improper Handling of Missing Values

Missing values are a common reality in data processing, but treating them incorrectly can lead to crashes, incorrect calculations, or security flaws. When a system assumes a value will always be present and proceeds without validation, it can trigger unexpected errors, expose internal system details, or create logic errors that attackers might exploit to bypass checks or corrupt data. To prevent this, developers should implement consistent validation at all data entry points. This means explicitly checking for null, empty strings, or blank values and defining a safe default behavior for each scenario, such as rejecting the input, using a sensible default, or returning a clear error message. Input sanitization and using allow-lists for expected values are also key defensive strategies.