[gentoo-announce] [ GLSA 202301-03 ] scikit-learn: Denial of Service

[gentoo-announce] [ GLSA 202301-03 ] scikit-learn: Denial of Service

[glsamaker]

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Gentoo Linux Security Advisory                           GLSA 202301-03
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                                           https://security.gentoo.org/
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 Severity: Low
    Title: scikit-learn: Denial of Service
     Date: January 11, 2023
     Bugs: #758323
       ID: 202301-03

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Synopsis
========

A vulnerability was found in scikit-learn which could result in denial
of service.

Background
==========

scikit-learn is a machine learning library for Python.

Affected packages
=================

    -------------------------------------------------------------------
     Package              /     Vulnerable     /            Unaffected
    -------------------------------------------------------------------
  1  sci-libs/scikit-learn      < 1.1.1                      >= 1.1.1

Description
===========

When supplied with a crafted model SVM, predict() can result in a null
pointer dereference.

Impact
======

An attcker capable of providing a crafted model to scikit-learn can
result in denial of service.

Workaround
==========

There is no known workaround at this time.

Resolution
==========

All scikit-learn users should upgrade to the latest version:

  # emerge --sync
  # emerge --ask --oneshot --verbose ">=sci-libs/scikit-learn-1.1.1"

References
==========

[ 1 ] CVE-2020-28975
      https://nvd.nist.gov/vuln/detail/CVE-2020-28975

Availability
============

This GLSA and any updates to it are available for viewing at
the Gentoo Security Website:

 https://security.gentoo.org/glsa/202301-03

Concerns?
=========

Security is a primary focus of Gentoo Linux and ensuring the
confidentiality and security of our users' machines is of utmost
importance to us. Any security concerns should be addressed to
security@gentoo.org or alternatively, you may file a bug at
https://bugs.gentoo.org.

License
=======

Copyright 2023 Gentoo Foundation, Inc; referenced text
belongs to its owner(s).

The contents of this document are licensed under the
Creative Commons - Attribution / Share Alike license.

https://creativecommons.org/licenses/by-sa/2.5

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