Fully managed library providing various random number generators and distributions.

Predict and Backtrack MT19937 PRNG by putting 32 * 624 bits generated numbers. Python "random" standard library uses mt19937, so we can easily crack it.

Python implementation of a symbolic execution of MT19937 and a solver for GF(2) matrices

Implementing and breaking the MT19937 Mersenne Twister pseudorandom number generator

A Mersenne Twister Random Number Generator

GPU program for brute force of mnemonic phrases bip39 - $200

A 32-bit Mersenne Twister pseudorandom number generator.

An MT19937 Mersenne Twister rng implementation, with the goal of being compatible with CPython's _random module.

C++ benchmark for RNG headers

Collections of PRNG Predictions

Mersenne Twister(MT19937) implementation in Rust

A reentrant variant of MT19937 RNG

An informal, security oriented walkthrough of pseudo-random number generators, exploring design, function, and exploitation.

The utility for the creation and verification of files filled with a pseudo-random sequence of bytes.

Create an array containing pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator.

A tool to recover the internal state of MT19937 by leveraging linear algebra to be reasonable fast even with partial outputs

Reconstructed revision history for the MT19937 Mersenne Twister PRNG by Makoto Matsumoto and Takuji Nishimura

Implementation of the MT19937 Random Number Generator Algorithm

Mersenne Twister Generator - MT19937

mt19937 - Mersenne Twister pseudo-RNG, 32 bit version