Knowledge

ERROR_CRC - 23 (0x17)

Data error (cyclic redundancy check).

Updated: Feb 21, 2026

Technical Background

ERROR_CRC, with the numeric code 23 and hex code 0x17, indicates a data integrity issue detected through a cyclic redundancy check (CRC). CRC is a common method used to detect errors in digital data. It involves generating a checksum that is appended to the data, which can be recalculated upon receipt to verify the integrity of the original data.

Error Details

ERROR_CRC typically arises when there is a discrepancy between the expected and actual values of the CRC. This error suggests that the data has been corrupted or altered in some way during transmission or storage, leading to an invalid checksum result.

Common Causes

  • Invalid Parameter Values: Incorrect parameters passed to functions that rely on CRC calculations can lead to this error.
  • Incorrect Object Type: Using a function intended for one type of object (e.g., file) with another (e.g., directory) might trigger this error if the operation involves CRC checks.
  • Exceeding Limits: Attempting operations beyond system or application-defined limits, such as processing extremely large files that exceed buffer sizes, can result in data corruption and subsequent ERROR_CRC.

Real-World Context

This error is commonly encountered when dealing with file systems, network communications, or any scenario where data integrity must be maintained. It often indicates a failure in the data handling process, such as during file transfers, disk operations, or network packet processing.

Is This Error Critical?

ERROR_CRC can indicate critical issues that may require immediate attention to prevent further data corruption or system instability. However, it is not always indicative of severe hardware failures; software errors or configuration issues are common causes as well.

How to Diagnose

  1. Review Operation Context: Examine the context in which the operation was performed, including any recent changes or updates.
  2. Validate Parameters: Ensure that all parameters passed to functions are correct and within expected ranges.
  3. Confirm Object Types: Verify that the object types being operated on match the expectations of the function.
  4. Verify Input Data: Check for any signs of data corruption or alteration, such as unexpected file sizes or contents.

How to Resolve

  1. Correct Parameter Usage: Ensure all parameters are correctly set and within valid ranges.
  2. Adjust Operation Context: Modify the operation context if necessary, ensuring that it aligns with the expected usage scenario.
  3. Restore Data: If data corruption is suspected, restore from a known good backup or reprocess the data using correct methods.
  4. Retry Operation with Valid Inputs: Attempt to perform the operation again with valid inputs and parameters.

Developer Notes

  • Always validate input data before performing operations that rely on CRC checks.
  • Implement robust error handling mechanisms to catch and address ERROR_CRC early in the application flow.
  • Consider using more advanced error detection methods, such as checksums or hash functions, for critical data integrity scenarios.

Related Errors

  • ERROR_FILE_NOT_FOUND: Indicates a file that could not be found, which might lead to incorrect CRC calculations.
  • ERROR_INVALID_PARAMETER: Occurs when invalid parameters are passed to a function, potentially leading to ERROR_CRC if the function relies on those parameters for CRC checks.

FAQ

Q: What does ERROR_CRC mean?

A: It indicates that data integrity has been compromised during transmission or storage, as detected by a cyclic redundancy check.

Q: How can I prevent ERROR_CRC?

A: Ensure all input parameters are valid and within expected ranges. Validate data before performing operations that rely on CRC checks.

Q: Is ERROR_CRC always indicative of hardware failure?

A: No, it is more commonly caused by software errors or configuration issues. Hardware failures can also trigger this error but are less frequent.

Summary

ERROR_CRC is a specific error code indicating data integrity issues detected through cyclic redundancy checks. It requires careful diagnosis and resolution to maintain system stability and ensure accurate data handling.