Predict MT19937 PRNG, from preceding 624 generated numbers. There is a specialization for the "random" of Python standard library.
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Updated
Dec 29, 2020 - Python
Predict MT19937 PRNG, from preceding 624 generated numbers. There is a specialization for the "random" of Python standard library.
SMT based attacks on non cryptographic PRNGs
Predict and Backtrack MT19937 PRNG by putting 32 * 624 bits generated numbers. Python "random" standard library uses mt19937, so we can easily crack it.
Implementing and breaking the MT19937 Mersenne Twister pseudorandom number generator
A Mersenne Twister Random Number Generator
Various exploit scripts for the Mersenne Twister PRNG. Includes barebones Python implementation.
Python package to generate random numbers
A fast cython replacement for the standard library’s random module.
This repo contains script which is able to predict python's random module random generated values. Script was tested against Python 3.5.2 and 3.6.2. Should work against other versions of Python as well, since the generator is pretty much the same in 2.7.12. Enjoy!
Mersenne Twister Generator - MT19937
python wrapper of SIMD-oriented Fast Mersenne Twister
🔫 Derandomizes the water assassins target list randomizer
Saratov State University, CSIT. Discipline "pseudo-random numbers generators" (псевдослучайные генераторы, rus)
Discover finite-state-automata by overlaying regions of the Mersenne twister!
Enhancement of wang-yin-wang improved least significant bit algorithm applied in image steganography
Mersenne Twister (MT19937) algorithm implementation for pseudo-random number generation.
Mersenne Twister (32-bit) Pseudorandom Number Generator (PRNG)
Pseudo-random number generators in Python
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