This project implements python module for automatic cryptanalysis of Substitution Permutation Network ciphers by performing extensive linear and differential characteristic search and finding keybits

The project is structured as follows:

• The cryptanalysis directory contains the main Python module for cryptanalysis.
• The tests directory contains unit tests for the module
• The examples directory contains examples for using the module
• The docs directory contains html documentation autogenerated from code doc-strings

The project can be installed directly from pip

pip install cryptanalysis

Otherwise clone and install is also viable

git clone https://github.com/deut-erium/auto-cryptanalysis.git
cd auto-cryptanalysis
pip install .

This project requires Python3.6+ and the following Python packages:

• z3-solver
• tqdm

Requirements are auto installed as a part of the installation process but

You can also install these packages using pip:

pip install -r requirements.txt

import random
import cryptanalysis

sbox_size = 6 # bits
pbox_size = sbox_size * 16 # 16 sboxes
num_rounds = 4
sbox = list(range(2**sbox_size))
pbox = list(range(pbox_size))
# random pbox and sbox
random.shuffle(sbox)
random.shuffle(pbox)

random_key = random.randint(0, (2**pbox_size) - 1)
# random spn instance whose key is unknown to us
spn = cryptanalysis.SPN(sbox, pbox, random_key, num_rounds)

d_c = cryptanalysis.differential_cryptanalysis.DifferentialCryptanalysis(sbox, pbox, num_rounds+1)
# override batch_encrypt with the oracle

max_num_encryptions = 50000
def batch_encrypt(plaintexts):
    return [spn.encrypt(i) for i in plaintexts]

d_c.batch_encrypt = batch_encrypt
differential_characteristics = d_c.characteristic_searcher.search_exclusive_masks()
last_round_key_blocks = d_c.find_last_roundkey(differential_characteristics, max_num_encryptions//16)

print("recovered last round key:",last_round_key_blocks)
print("original last round key:",d_c.int_to_list(spn.round_keys[-1]))

You can run the tests using the following command:

python -m unittest discover

Read the documentation
Autogenerated documentation from code doc-strings can be found under docs

Please feel free to submit pull requests or create issues if you find any bugs or have any suggestions for improvements.
List of ideas to implement/TODO is present in CONTRIBUTING.md

This project is licensed under the GPL License.