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https://github.com/J08nY/pyecsca

Python Elliptic Curve Side-Channel Analysis toolkit.
https://github.com/J08nY/pyecsca

ecc elliptic-curve-cryptography sca side-channel side-channel-attacks

Last synced: about 2 months ago
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Python Elliptic Curve Side-Channel Analysis toolkit.

Host: GitHub
URL: https://github.com/J08nY/pyecsca
Owner: J08nY
License: mit
Created: 2019-03-14T17:12:44.000Z (over 5 years ago)
Default Branch: master
Last Pushed: 2024-04-13T16:44:21.000Z (6 months ago)
Last Synced: 2024-04-14T09:02:26.859Z (6 months ago)
Topics: ecc, elliptic-curve-cryptography, sca, side-channel, side-channel-attacks
Language: Python
Homepage: https://neuromancer.sk/pyecsca/
Size: 17.8 MB
Stars: 50
Watchers: 8
Forks: 15
Open Issues: 12
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

awesome-side-channel-attack - Pyecsca - Python Elliptic Curve Side-Channel Analysis toolkit (Project)

README

        # ![](https://raw.githubusercontent.com/J08nY/pyecsca/master/docs/_static/logo_black_full.png)

[![docs](https://img.shields.io/badge/docs-pyecsca.org-black.svg)](https://pyecsca.org/)  [![License MIT ](https://img.shields.io/github/license/J08nY/pyecsca?color=brightgreen)](https://github.com/J08nY/pyecsca/blob/master/LICENSE) ![Test](https://github.com/J08nY/pyecsca/workflows/Test/badge.svg) ![Lint](https://github.com/J08nY/pyecsca/workflows/Lint/badge.svg) [![Codecov](https://img.shields.io/codecov/c/gh/J08nY/pyecsca?color=brightgreen&logo=codecov)](https://codecov.io/gh/J08nY/pyecsca) [![DeepSource](https://deepsource.io/gh/J08nY/pyecsca.svg/?label=active+issues&show_trend=true)](https://deepsource.io/gh/J08nY/pyecsca/?ref=repository-badge)

**Py**thon **E**lliptic **C**urve cryptography **S**ide-**C**hannel **A**nalysis toolkit.

For more info, see the [![docs](https://img.shields.io/badge/docs-pyecsca.org-black.svg)](https://pyecsca.org/).

## Functionality

**pyecsca** aims to fill a gap in SCA tooling for Elliptic Curve Cryptography, it focuses on

black-box implementations of ECC and presents a way to extract implementation information

about a black-box implementation of ECC through side-channels. The main goal of **pyecsca**

is to be able to reverse engineer the curve model, coordinate system, addition formulas, scalar

multiplier and even finite-field implementation details.

It currently provides:

 - Enumeration of millions of possible ECC implementation configurations (see [notebook/configuration_space](https://pyecsca.org/notebook/configuration_space.html))

 - Simulation and execution tracing of key generation, ECDH and ECDSA (see [notebook/simulation](https://pyecsca.org/notebook/simulation.html))

 - Synthesis of C implementations of ECC for embedded devices, given any implementation configuration (see [notebook/codegen](https://pyecsca.org/notebook/codegen.html)),

   CPU-level simulation of implementations (see [notebook/simulator](https://pyecsca.org/notebook/simulator.html))

 - Trace acquisition using PicoScope/ChipWhisperer oscilloscopes (see [notebook/measurement](https://pyecsca.org/notebook/measurement.html))

 - Trace processing capabilities, e.g. signal-processing, filtering, averaging, cutting, aligning ([pyecsca.sca](https://pyecsca.org/api/pyecsca.sca.html))

 - Trace visualization using holoviews and datashader (see [notebook/visualization](https://pyecsca.org/notebook/visualization.html))

 - Communication via PCSC/LEIA with a smartcard target (see [notebook/smartcards](https://pyecsca.org/notebook/smartcards.html))

 - Reverse-engineering of black-box ECC via RPA-RE and ZVP-RE methods (see [notebook/re/rpa](https://pyecsca.org/notebook/re/rpa.html) and [notebook/re/zvp](https://pyecsca.org/notebook/re/zvp.html))

**pyecsca** consists of three packages:

 - the core: https://github.com/J08nY/pyecsca

 - the codegen package: https://github.com/J08nY/pyecsca-codegen

 - the notebook package: https://github.com/J08nY/pyecsca-notebook

## License

    MIT License

    Copyright (c) 2018-2024 Jan Jancar

    Permission is hereby granted, free of charge, to any person obtaining a copy

    of this software and associated documentation files (the "Software"), to deal

    in the Software without restriction, including without limitation the rights

    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell

    copies of the Software, and to permit persons to whom the Software is

    furnished to do so, subject to the following conditions:

    The above copyright notice and this permission notice shall be included in all

    copies or substantial portions of the Software.

    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR

    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,

    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE

    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER

    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,

    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE

    SOFTWARE.

Thanks alot to contributors: Tomas Jusko, Andrej Batora, Vojtech Suchanek and

to ChipWhisperer/NewAE.

*Development was supported by the Masaryk University grant [MUNI/C/1701/2018](https://www.muni.cz/en/research/projects/46834).*