ERROR_STACK_BUFFER_OVERRUN - 1282 (0x502)

The system detected an overrun of a stack-based buffer in this application. This overrun could potentially allow a malicious user to gain control of this application.

Updated: Feb 21, 2026

Technical Background

The ERROR_STACK_BUFFER_OVERRUN error code, with the numeric value of 1282 and hexadecimal representation of 0x502, indicates that a stack-based buffer in an application has been overrun. This type of error is significant because it can lead to security vulnerabilities, allowing malicious users to potentially gain control over the application.

Error Details

The overrun occurs when more data is written to a buffer than its allocated space can hold. In the context of the stack, this typically means that the buffer's capacity has been exceeded, leading to data spilling into adjacent memory locations. This can disrupt normal program flow and potentially enable malicious code execution.

Common Causes

  • Invalid Parameter Values: Passing incorrect or overly large values to a function that writes to a fixed-size buffer on the stack.
  • Incorrect Object Type: Using an object type that is not compatible with the expected data size in the buffer.
  • Exceeding Limits: Writing more data than the allocated space for the buffer, leading to overflow.

Real-World Context

This error can occur in various scenarios where stack-based buffers are used. For example, it might happen when a function receives input from an untrusted source and fails to validate or limit the size of the incoming data before processing it.

Is This Error Critical?

Yes, this error is critical because it can lead to security vulnerabilities that allow malicious users to inject code into the application. The overrun could potentially disrupt normal program execution and compromise the integrity of the system.

How to Diagnose

To diagnose an ERROR_STACK_BUFFER_OVERRUN, follow these steps:

  1. Review Operation Context: Examine the context in which the error occurred, including function calls and input data.
  2. Validate Parameters: Check that all parameters passed to functions are within expected bounds and do not exceed buffer sizes.
  3. Confirm Object Types: Ensure that objects used match the expected types and sizes.
  4. Verify Input Data: Validate that incoming data is properly sanitized and does not contain excessive or unexpected content.
  5. Check Limits or Constraints: Confirm that no limits have been exceeded, such as buffer size constraints.

How to Resolve

To resolve an ERROR_STACK_BUFFER_OVERRUN, consider the following steps:

  1. Correct Parameter Usage: Ensure all parameters are correctly sized and do not exceed buffer capacities.
  2. Adjust Operation Context: Modify the context in which the operation is performed, such as using larger buffers or implementing input validation.
  3. Restore Data: If data corruption is suspected, restore from a known good state if possible.
  4. Retry Operation with Valid Inputs: Attempt to perform the operation again with validated and properly sized inputs.

Developer Notes

Developers should be cautious when handling user input or external data that could potentially affect buffer sizes on the stack. Implementing proper validation and using larger buffers can help mitigate this risk.

Related Errors

  • ERROR_BUFFER_OVERFLOW (1203, 0x4B7): Indicates a buffer overflow condition where the buffer is not large enough to hold all data.
  • ERROR_INVALID_PARAMETER (1208, 0x4C8): Occurs when an invalid parameter value is passed to a function.

FAQ

Q: What causes an ERROR_STACK_BUFFER_OVERRUN?

A: It can be caused by passing overly large values to functions that use fixed-size buffers on the stack or by using incorrect object types.

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

A: Ensure proper validation of input data and use larger buffer sizes where necessary. Implementing secure coding practices is crucial.

Summary

The ERROR_STACK_BUFFER_OVERRUN indicates a critical issue with stack-based buffers, which can lead to security vulnerabilities. By understanding the causes and implementing appropriate measures, developers can mitigate this risk and ensure more robust application behavior.