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View Code? Open in Web Editor NEWSMT based attacks on non cryptographic PRNGs
SMT based attacks on non cryptographic PRNGs
The function get_seeds_python_fast()
seems to fail if a list of collected integers is provided that isn't directly made after initialization of the seed.
For example, this works:
import random
from mersenne import BreakerPy
random.seed(31337)
arr = []
for _ in range(0, 624):
arr.append(random.getrandbits(32))
breaker = BreakerPy()
breaker.get_seeds_python_fast(arr)
While this fails (remove the +
in front of random.getrandbits(32)
):
import random
from mersenne import BreakerPy
random.seed(31337)
+ random.getrandbits(32) # could also be [random.getrandbits(32) for _ in range(0, 624)], or basically any range
arr = []
for _ in range(0, 624):
arr.append(random.getrandbits(32))
breaker = BreakerPy()
breaker.get_seeds_python_fast(arr)
The error happens in seed_arr_len()
function:
time taken : 8.973925113677979
Traceback (most recent call last):
File "C:\Users\user\Downloads\RNGeesus\src\code_mersenne\solver.py", line 9, in <module>
breaker.get_seeds_python_fast(arr)
File "C:\Users\user\Downloads\RNGeesus\src\code_mersenne\mersenne.py", line 517, in get_seeds_python_fast
slen = seed_arr_len(recovered)
^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\user\Downloads\RNGeesus\src\code_mersenne\mersenne.py", line 18, in seed_arr_len
mode([j-i for i,j in zip(x,x[1:])])
File "W:\scoop\apps\python\current\Lib\statistics.py", line 713, in mode
raise StatisticsError('no mode for empty data') from None
statistics.StatisticsError: no mode for empty data
>>>
Hi! Been trying to run towards random.random, but the predictor is just returning None.
Note, mersenne.py has been saved as rngeesus.py
Any tips would be appreciated!
from rngeesus import Breaker
from random import Random
from secrets import randbits
def sample():
print("Sampling...")
correct = 0
iterations = 10000
for _ in range(iterations):
seed = randbits(32)
rng = Random(seed)
# Empty the RNG that is filled from /dev/urandom
# I think this is necessary to get a predictable RNG
for _ in range(624):
rng.getrandbits(32)
b = Breaker()
# Two values in the format (index, value)
vals = [
(0, rng.getrandbits(32)),
(1, rng.getrandbits(32)),
(2, rng.getrandbits(32)),
]
print(vals)
print("Predicting...")
# This line always returns None for some reason?
recovered_seed = b.get_seed_mt(vals)
# Get the next value from the RNG
# We will use this to check if the predictor is correct
print(f"Actual seed: {seed}")
print(f"Predicted seed: {recovered_seed}")
if recovered_seed == seed:
print("Correct!")
correct += 1
print(f"Current status: {correct}/{iterations}")
print(f"Correct: {correct}/{iterations}")
if __name__ == "__main__":
sample()
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