Summary

The MathMasters library exhibits a lack of error transparency as custom errors are used without providing detailed information. Enhancing error messages to include specific details about encountered issues during runtime will improve the overall transparency and user experience.

Vulnerability Details

The vulnerability involves the utilization of custom errors within the MathMasters library, which, while beneficial for identification, lack informative details about the specific issues encountered. Error messages generated during runtime do not provide sufficient information to users or developers to understand the nature of the problem, potentially leading to confusion and difficulty in diagnosing issues.

POC

Impact

Insufficient error transparency may hinder the debugging and troubleshooting process for developers and users interacting with the smart contract. Clear and detailed error messages are essential for identifying and resolving issues promptly. Without adequate information, diagnosing runtime errors becomes more challenging, potentially impacting the reliability and maintainability of the smart contract.

Tools Used

No specific tools were used to identify this vulnerability. Manual code review and analysis were conducted.

Recommendations

It is recommended to enhance error transparency by providing detailed information in custom error messages. Specifically, error messages should include relevant details about the context of the error, the function or operation that triggered it, and any pertinent variable values. This additional information will aid developers and users in understanding the root cause of issues, facilitating more effective debugging and resolution.

To address this vulnerability, each custom error definition should be expanded to include specific details about the nature of the error.

Subsequently, when raising an error, relevant information should be included in the error message. For instance:

Providing informative details in error messages, developers and users will have better insights into the causes of runtime issues, facilitating a more efficient debugging process.