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Gentoo: GLSA-202401-01 High: Joblib Arbitrary Code Execution

gentoo
Calendar Grey January 2, 2024
Dist Gentoo Esm H88
Update Joblib on Gentoo to mitigate high-risk vulnerabilities related to potential unauthorized code execution as outlined in GLSA 202401-01.
A vulnerability has been found in Joblib which allows for arbitrary code execution.

Summary

A vulnerability has been discovered in Joblib. Please review the CVE identifier referenced below for details.

Topics%20covered

Topics Covered

security advisory high severity gentoo code execution arbitrary execution joblib

Resolution

All Joblib users should upgrade to the latest version:
# emerge --sync # emerge --ask --oneshot --verbose ">=dev-python/joblib-1.2.0"

References

[ 1 ] CVE-2022-21797 https://nvd.nist.gov/vuln/detail/CVE-2022-21797

Availability

This GLSA and any updates to it are available for viewing at the Gentoo Security Website:
https://security.gentoo.org/glsa/202401-01
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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.

Severity: High
Title: Joblib: Arbitrary Code Execution
Date: January 02, 2024
Bugs: #873151
ID: 202401-01

Topics%20covered

Topics Covered

security advisory high severity gentoo code execution arbitrary execution joblib

Synopsis

A vulnerability has been found in Joblib which allows for arbitrary code execution.

Background

Joblib is a set of tools to provide lightweight pipelining in Python. In particular:
1. transparent disk-caching of functions and lazy re-evaluation (memoize pattern) 2. easy simple parallel computing
Joblib is optimized to be fast and robust on large data in particular and has specific optimizations for numpy arrays.

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Affected Packages

Package Vulnerable Unaffected ----------------- ------------ ------------ dev-python/joblib < 1.2.0 >= 1.2.0

Impact

Joblib is vulnerable to arbitrary code execution via the pre_dispatch flag in Parallel() class due to the eval() statement.

Workaround

There is no known workaround at this time.

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