Can you elaborate on what indirect control would look like in your opinion?
No matter how many layers of abstraction you put in between, you're still eventually going to be passing a value to the setTimeout function that was computed based on something the user inputted, right?
If you're not aware of these caveats about extremely high timeout values, how do any layers of abstraction in between help you prevent this? As far as I can see, the only prevention is knowing about the caveats and specifically adding validation for them.
Or comes from a set of known values. This stuff isn't that difficult.
This doesn't require prescient knowledge of high timeout edge cases. It's generally accepted good security practice to limit business logic execution based on user input parameters. This goes beyond input validation & bounds on user input (both also good practice but most likely to just involve a !NaN check here), but more broadly user input is data & timeout values are code. Data should be treated differently by your app than code.
To generalise the case more, another common case of a user submitting a config value that would be used in logic would be string labels for categories. You could validate against a known list of categories (good but potentially expensive) but whether you do or not it's still good hygiene to key the user submitted string against a category hashmap or enum - this cleanly avoids using user input directly in your executing business logic.
No matter how many layers of abstraction you put in between, you're still eventually going to be passing a value to the setTimeout function that was computed based on something the user inputted, right?
If you're not aware of these caveats about extremely high timeout values, how do any layers of abstraction in between help you prevent this? As far as I can see, the only prevention is knowing about the caveats and specifically adding validation for them.