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Cryptanalysis of QARMAv2

This repository includes the source code of the tools we used in our paper accepted for ToSC 2024/1 (FSE 2024): Cryptanalysis of QARMAv2

Table of Contents

Requirements

Our tool requires the following software:

  • Python3

  • MiniZinc to compile and solve our CP models

  • latexmk to build the .tex file and generate the shapes of our attacks (can be replaced by just calling lualatex directly)

  • Or-Tools to solve our CP models.

Installation

Many CP solvers are bundled with MiniZinc and can be used without any further installation. We use Or-Tools as the CP solver. Fortunately, OR Tools CP-SAT is bundled with MiniZinc after version 2.8.0. Thus, by installing the latest version of MiniZinc, one can use OR Tools CP-SAT without any further installation. Additionally, we need the Python package named minizinc to work with MiniZinc in Python. To install the required software in Ubuntu, one can use the following commands:

apt update
apt upgrade
apt install python3-full
apt install git
apt install wget
cd /home 
wget https://github.com/MiniZinc/MiniZincIDE/releases/download/2.8.1/MiniZincIDE-2.8.1-bundle-linux-x86_64.tgz
tar -xvzf MiniZincIDE-2.8.1-bundle-linux-x86_64.tgz
mv MiniZincIDE-2.8.1-bundle-linux-x86_64 minizinc
rm MiniZincIDE-2.8.1-bundle-linux-x86_64.tgz
ln -s  /home/minizinc/bin/minizinc /usr/local/bin/minizinc
apt install python3-pip
python3 -m pip install minizinc

Structure of Our Tool

Our tool's main components are the CP models saved in .mzn format, built using the methods explained in our paper. You can solve these .mzn files independently with MiniZinc.

To make using our tool even more convenient, we have included a Python interface for each application. Thus you'll discover .mzn files for each application, along with some handy Python tools.

Usage

Using our tool is straightforward. Simply specify the number of attacked rounds or the length of distinguisher and choose the solver. Our tool will then identify the attack and visualize its shape.

For a quick guide on each application, run the following command:

python3 <application_name>.py --help

We provide examples for each application below.

Searching for Integral Distinguishers

QARMAv2-64-128 ($\mathscr{T} = 1$)

Assume that we want to search for a 9-round (ZC-based) integral distinguisher for QARMAv2-64-128 ($\mathscr{T}$ = 1) with a single tweak block. Navigate into this folder and run the following command:

python3 distinguisherqarma64.py -RU 4 -RL 5 -KR 13

RU, and RL specify the number of forward and backward rounds, respectively, and KR specifies the number of rounds in the key recovery attack. The following field shows the output of running the above command on a regular laptop with an 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz CPU and 16GB of RAM:

#######################################################
Searching for an integral distinguisher for Qarma-v2-64 with the following parameters
RU:              4
RL:              5
CP solver:       ortools
No. of threads:  8
Time limit:      4000
#######################################################
Elapsed time: 4.51 seconds
#######################################################
Distinguisher parameters:
Number of forwrd rounds:         04
Number of backward rounds:       05
Tweak cells that are active at most 01 times:
T[02] 
#######################################################

As can be seen, it takes about 4 seconds to find the distinguisher. Our tool also generates the output.tex file which contains the shape of the distinguisher in Tikz format. Run latexmk -pdf ./output.tex to see the shape of the distinguisher in pdf format:

qarmav2_64_128_t1_9r

QARMAv2-64-128 ($\mathscr{T} = 2$)

As another example, you can navigat into this folder and run the following command to find a 10-round integral distinguisher for QARMAv2-64-128 ($\mathscr{T}$ = 2) with two independent tweak blocks:

python3 distinguisherqarma64.py -RU 5 -RL 5

The following field shows the output of running the above command:

#######################################################
Searching for an integral distinguisher for Qarma-v2-64 with the following parameters
RU:              5
RL:              5
CP solver:       ortools
No. of threads:  8
Time limit:      4000
#######################################################
Elapsed time: 4.40 seconds
#######################################################
Distinguisher parameters:
Number of forwrd rounds:         05
Number of backward rounds:       05
Tweak cells that are active at most 01 times:
T0[02] 
#######################################################

The following figure, generated by latexmk -pdf ./output.tex, shows the shape of the distinguisher in pdf format:

qarmav2_64_128_t2_10r

QARMAv2-128-256 ($\mathscr{T} = 2$)

To find an integral distinguisher for 11 rounds of QARMAv2-128-256 ($\mathscr{T}$ = 2) with two independent tweak blocks, navigate into this folder and run the following command:

python3 distinguisherqarma128.py -RU 5 -RL 6 

The following fied shows the output of running the above command:

#######################################################
Searching for an integral distinguisher for Qarma-v2-128 with the following parameters
RU:              5
RL:              6
CP solver:       ortools
No. of threads:  8
Time limit:      4000
#######################################################
Elapsed time: 14.26 seconds
#######################################################
Distinguisher parameters:
Number of forwrd rounds:         05
Number of backward rounds:       06
Tweak cells that are active at most 01 times:
T0[11] 
#######################################################

The following figure, generated by latexmk -pdf ./output.tex, shows the shape of the distinguisher in pdf format:

qarmav2_128_256_t2_11r


Paper and Presentation

To see the details about our method, please refer to our paper. We present this work in FSE 2024:

If you have any questions or comments, please feel free to open an issue in this repository or reach out to Hosein Hadipour directly.

Disclaimer

The solvers used in this tool are not entirely deterministic and may generate different outputs based on the configuration of the host machine. In addition, the same problem can have multiple optimal solutions.

Please note that we have only verified the attacks documented in our paper. Therefore, it is essential to thoroughly review and validate any output of the tool before making claims related to our paper. We hope this tool is useful for the community.


Citation

If you use our tool in your work, please acknowledge it by citing our paper:

@article{DBLP:journals/tosc/HadipourT24,
  author       = {Hosein Hadipour and
                  Yosuke Todo},
  title        = {Cryptanalysis of QARMAv2},
  journal      = {{IACR} Trans. Symmetric Cryptol.},
  volume       = {2024},
  number       = {1},
  pages        = {188--213},
  year         = {2024},
  url          = {https://doi.org/10.46586/tosc.v2024.i1.188-213},
  doi          = {10.46586/TOSC.V2024.I1.188-213},
  timestamp    = {Tue, 26 Mar 2024 13:06:22 +0100}
}

License MIT License

This project is licensed under the MIT License - see the LICENSE file for details.