rdrand

A module to use Intel’s hardware RNG with python’s random class

USAGE

for full docs, see https://rdrand.rtfd.io

# easy_install rdrand

# python

>>> from rdrand import RdRandom
>>> r = RdRandom()

>>>from rdrand import RdSeedom >>>s = RdSeedom()

At this point, r and s will behave just like random

RdRandom is a subclass of random.Random, and behaves like random.Random, but it uses inline assembly to access the hardware RNG using the RdRand instruction. This should be a cryptographically secure drop in replacement for random with a prediction complexity bound of O(2^128), if the Intel random number generator is valid. No mitigation is done to modify the output of the hardware to prevent problems with Intel’s implementation. Caveat Emptor.

RdSeedom is a subclass of random.Random, and behaves like random.Random, but it uses inline assembly to access the hardware RNG using the RdSeed instruction. This should be a cryptographically secure drop in replacement for random returning full entropy bits, if the Intel random number generator is valid. No mitigation is done to modify the output of the hardware to prevent problems with Intel’s implementation. Caveat Emptor.

Also, both RdRandom and RdSeedom include the function r.getrandombytes(i) where i is a positive int. This returns a string of length i filled with random bytes, which is ideal for generating a key or using directly in a protocol.

Please note, as with any security solution, it is possible to subvert this. Please understand the full context before deploying. I am not liable for misuse or clever hackers.

Works with 32 and 64 bit builds of python.

Works with python2 and python3.

Release files for rdrand 1.5.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for rdrand 1.5.0
File	Size	Uploaded
rdrand-1.5.0.tar.gz	6.2 kB	Dec 9, 2017	Details

Release files / rdrand-1.5.0.tar.gz

Download URL	rdrand-1.5.0.tar.gz
Size	6.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`d9917d0a365af31817914beadd7b8db200ca49a565e5f33fa90801fbc4d965ae`
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Upload date	Dec 9, 2017
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