How to safely store JavaScript objects containing functions and regular expressions to a database and restore?

Securely handle functions and regular expressions of JavaScript objects in databases

In front-end development, JavaScript objects containing non-native JSON data types such as functions and regular expressions are often needed to serialize them into strings, store them in a database (such as MySQL), and then deserialize them into JavaScript objects. Using JSON.stringify and JSON.parse directly fails because they cannot handle functions and regular expressions. This article discusses the safe and effective solution to this problem and answers the question of whether there are common npm packages or tool functions.

The core problem is how to safely serialize JavaScript objects containing functions and regular expressions into JSON strings, store them to the database, and safely deserialize them back to the JavaScript objects after reading them from the database, ensuring data integrity and security.

Using JSON.stringify directly converts the function to a string, but JSON.parse cannot restore it to an executable function. Therefore, a mechanism is needed to safely convert functions and regular expressions into string representations and restore correctly when deserialized.

There are security risks when using JSON.stringify and JSON.parse directly, especially when processing user-submitted function code, there is a serious risk of code injection.

It is recommended to adopt the "deep traversal function reconstruction" method. You need to customize functions to traverse objects, replace functions and regular expressions with their string representations (for example, the source code of a function), and rebuild functions or regular expressions based on these strings when deserialized. This process requires careful design to ensure security and correctness and prevent arbitrary code execution.

Currently, there is no universal npm package that can directly meet this requirement, because it is closely related to security policies and specific application scenarios. Directly using universal packages to handle arbitrary function codes poses a huge security risk. Therefore, it is safer to manually implement deep traversal and function reconstruction, and conduct strict security checks.

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