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A secure updater framework for Python

Project Description

A Framework for Securing Software Update Systems

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The Update Framework (TUF) helps developers secure new or existing software
update systems, which are often found to be vulnerable to many known attacks.
TUF addresses this widespread problem by providing a comprehensive, flexible
security framework that developers can integrate with any software update
system. The framework can be easily integrated (or implemented in the native
programming languages of these update systems) due to its concise,
self-contained architecture and specification. `Adopters <docs/>`_
have so far implemented the framework in the Go (`1
<>`_, `2
<>`_), `Haskell
<>`_, `Python
<>`_, `Ruby
and `Rust <>`_ programming languages.

TUF is hosted by the `Cloud Native Computing Foundation
<>`_ (CNCF) and follows the `CNCF Code of Conduct

* `Overview <docs/OVERVIEW.rst>`_
* `Specification <>`_
* `Getting Started <docs/GETTING_STARTED.rst>`_
* `Governance <docs/>`_

Please contact us via our `mailing list
Questions, feedback, and suggestions are welcomed on this low-volume mailing

Security Issues and Bugs

Security issues can be reported by emailing

At a minimum, the report must contain the following:

* Description of the vulnerability.
* Steps to reproduce the issue.

Optionally, reports that are emailed can be encrypted with PGP. You should use
PGP key fingerprint E9C0 59EC 0D32 64FA B35F 94AD 465B F9F6 F8EB 475A.

Please do not use the GitHub issue tracker to submit vulnerability reports.
The issue tracker is intended for bug reports and to make feature requests.
Major feature requests, such as design changes to the specification, should
be proposed via a `TUF Augmentation Proposal <docs/TAP.rst>`_.


This work is `dual-licensed <>`_
and distributed under the (1) MIT License and (2) Apache License, Version 2.0.
Please see `LICENSE-MIT.txt <docs/LICENSE-MIT.txt>`_ and `LICENSE-APACHE.txt


This project is managed by Prof. Justin Cappos and other members of the `Secure
Systems Lab <>`_ at NYU.

This material is based upon work supported by the National Science Foundation
under Grant Nos. CNS-1345049 and CNS-0959138. Any opinions, findings, and
conclusions or recommendations expressed in this material are those of the
author(s) and do not necessarily reflect the views of the National Science

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Filename, size & hash SHA256 hash help File type Python version Upload date
tuf-0.10.2-py2.py3-none-any.whl (132.4 kB) Copy SHA256 hash SHA256 Wheel py2.py3 Jan 31, 2018
tuf-0.10.2.tar.gz (2.7 MB) Copy SHA256 hash SHA256 Source None Jan 31, 2018

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