Practical Seed Recovery for the Pcg Pseudo-Random Number Generator
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The article discusses a method for recovering seeds used in the PCG pseudo-random number generator, highlighting a potential security vulnerability, and the sole commenter notes the importance of using cryptographically secure PRNGs for sensitive applications.
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Oct 16, 2025 at 10:42 AM EDT
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They managed to break the harder problem of reconstructing the seed if the constant increment in the PCG algorithm is unknown in 12500 CPU-hours. They expected around 20k CPU-hours so got lucky it seems.
So for being a non-cryptographic PRNG it doesn't seem entirely trivial if the increment is unknown. Certainly far from cryptographic strength of course.