elisohl-ncc

from Crypto.Cipher import AES
from Crypto.Util.Padding import pad, unpad

from random import random, seed, randrange
from math import log2


KEY = bytes(16)
IV = bytes(range(16))
PT = b'Plaintext!'

elisohl-ncc

    @staticmethod
    def bayes(h, e_given_h, e_given_not_h):
        """Update the posterior probability of h given e.
        
        e: evidence
        h: hypothesis
        e_given_h: probability of e given h
        e_given_not_h: probability of e given not h
        """
        return e_given_h * h / (e_given_h * h + e_given_not_h * (1 - h))

elisohl-ncc

class ByteSearch:
    def __init__(self, oracle, confidence_threshold=0.9, quiet=True):
        self._counter = 0
        self.oracle = oracle
        self.queries = [[] for _ in range(256)]
        self.confidences = [1/256]*256
        self.confidence_threshold = confidence_threshold
        self.quiet = quiet

    def update_confidences(self, index, result):