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.
This repository contains code snippets and POCs associated to our article on breaking Python's PRNG with a few values and no bruteforce.
Generative programming language for Tabletop RPGs written in Python. (Work on projector is gonna come back soon!)
Collections of PRNG Predictions
python crypto functions
This simple neural network uses a quantum computer to generate truly-random weights.
A superposition generator using PRNG to output effectively randomized qubit states.
Implementasi Pengembangan Algoritma RSA dan Pseudo-Random Prime-Number Generator dalam Optimalisasi Steganografi
Recovery of the internal Xorshift128+ state based on 64/128 consecutive outputs of Math.random() on V8 and SpiderMonkey via Linear Algebra
Tool that hides data in an image using LSB of colour pixels and cryptographycally secure pseudo-random number generator to generate coordinates of pixels to use.
Generate truly-random integers and floats on a quantum computer.
Various exploit scripts for the Mersenne Twister PRNG. Includes barebones Python implementation.
Python package for generating the random number using Middle Square Weyl sequence
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