Dyana
A sandbox environment designed for loading, running and profiling a wide range of files, including machine learning models, ELFs, Pickle, Javascript and more
Install / Use
/learn @dreadnode/DyanaREADME
Dyana
<div align="center"><img src="https://d1lppblt9t2x15.cloudfront.net/logos/5714928f3cdc09503751580cffbe8d02.png" alt="Logo" align="center" width="144px" height="144px" />
</div> <h4 align="center"> <a href="https://pypi.org/project/dyana/" target="_blank"> <img alt="PyPI - Python Version" src="https://img.shields.io/pypi/pyversions/dyana"> <img alt="PyPI - Version" src="https://img.shields.io/pypi/v/dyana"> </a> <a href="https://github.com/dreadnode/dyana/blob/main/LICENSE" target="_blank"> <img alt="GitHub License" src="https://img.shields.io/github/license/dreadnode/dyana"> </a> <a href="https://github.com/dreadnode/dyana/actions/workflows/ci.yml"> <img alt="GitHub Actions Workflow Status" src="https://github.com/dreadnode/dyana/actions/workflows/ci.yml/badge.svg"> </a> <a href="https://github.com/dreadnode/dyana/actions/workflows/renovate.json5/badge.svg"> <img alt="Renovate Status" src="https://github.com/dreadnode/dyana/actions/workflows/renovate.json5"> </a> </h4>Dyana is a sandbox environment using Docker and Tracee for loading, running and profiling a wide range of files, including machine learning models, ELF executables, Pickle serialized files, Javascripts and more. It provides detailed insights into GPU memory usage, filesystem interactions, network requests, and security related events.
Installation
Install with:
pip install dyana
To upgrade to the latest version, run:
pip install --upgrade dyana
To uninstall, run:
pip uninstall dyana
Usage
See our docs on dyana usage here
License
Dyana is released under the MIT license. Tracee is released under the Apache 2.0 license.
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