Googles RNG Hacked

Ivan Ludvig's blog post "Hacking Google Random Number Generator" explores the limitations of the pseudo-random number generator used by Google's Math.random() function in browsers. Ludvig describes how the function, based on the xorshift128+ algorithm, can be manipulated to predict future outputs by using Python and the Z3 library. This vulnerability arises because the generator’s sequence can be determined if the internal state is known. Ludvig demonstrates the method to reconstruct the seed from outputs and predict future numbers, highlighting the importance of not using Math.random() for cryptographic purposes due to its predictability.

Sp8de's blockchain technology and Quantum Random Number Generators (QRNG), could indeed offer a solution to the vulnerabilities found in Math.random(). By providing a decentralized and cryptographically secure source of randomness, Sp8de could enhance the security and unpredictability of number generation processes, especially in applications where the integrity of random numbers is crucial, such as in cryptographic and gaming applications. This would mitigate the risks associated with predictable pseudo-random number generators used in many standard computing environments.