ERROR_EC_CREDSTORE_FULL - 15083 (0x3AEB)

Technical Meaning

The ERROR_EC_CREDSTORE_FULL error code, with the numeric value of 15083 (0x3AEB), indicates that the credential store used to save credentials is full. This implies that there are no available slots or space within the store for additional entries.

Error Details

This error typically occurs when an attempt is made to add a new credential entry, but the storage capacity has been exhausted. The credential store may be limited by design or due to system constraints, and once this limit is reached, further operations will fail until space becomes available.

Usage Context

This error can occur in various scenarios where credentials need to be stored, such as during user authentication processes, network logins, or when saving sensitive information. It is important for developers to handle this error appropriately to ensure the application's robustness and reliability.

Developer Interpretation

When encountering ERROR_EC_CREDSTORE_FULL, it is essential to understand that the credential store has reached its capacity limit. Developers should implement mechanisms to manage storage limits, such as periodically clearing expired or unused credentials, or providing users with options to reduce their stored credentials if necessary.

Related Errors

• ERROR_CREDSTORE_FULL: A similar error indicating full credential store in a different context.
• ERROR_NO_SUCH_LOGON_SESSION: Occurs when the logon session is not found, which might be related to credential management issues.

FAQ

Q: What does ERROR_EC_CREDSTORE_FULL mean?

A: It indicates that the credential store used for saving credentials has reached its capacity limit and cannot accept new entries.

Q: How can I handle this error in my application?

A: Implement mechanisms to manage storage limits, such as clearing expired or unused credentials, or providing users with options to reduce their stored credentials if necessary.

Summary

The ERROR_EC_CREDSTORE_FULL error code signifies that the credential store has reached its capacity limit. Developers should handle this error by implementing appropriate storage management strategies to ensure the application's reliability and robustness.