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Code scanning / CodeQL
Creating biased random numbers from a cryptographically secure source
Copilot Autofix
AI about 1 year ago
To fix the issue, we need to ensure that the random ID generation is unbiased. This can be achieved by discarding values that would introduce bias, as demonstrated in the background example. Specifically, we will discard any random value greater than or equal to the largest multiple of the divisor (90,000,000) that fits within the range of
raw(4,294,967,295). This ensures that the modulo operation is applied to a uniformly distributed range.The fix involves modifying the
randomIdfunction to include a loop that discards biased values and only uses unbiased random values for the modulo operation. No new dependencies are required, as the existingcrypto.getRandomValuesAPI is sufficient.