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OpenAdvisories
Medium · 5.3 CVE-2020-15191 BIT-tensorflow-2020-15191EUVD-2020-0187GHSA-q8qj-fc9q-cphrPYSEC-2020-114PYSEC-2020-271PYSEC-2020-306

Undefined behavior in Tensorflow

Published Sep 25, 2020 · Updated Aug 4, 2024 · Assigned by GitHub_M

Description

In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes an invalid argument to `dlpack.to_dlpack` the expected validations will cause variables to bind to `nullptr` while setting a `status` variable to the error condition. However, this `status` argument is not properly checked. Hence, code following these methods will bind references to null pointers. This is undefined behavior and reported as an error if compiling with `-fsanitize=null`. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.

Affected products

VendorProductAffectedFixed
tensorflow tensorflow = 2.2.0, = 2.3.0 —

Fixed in Linux distributions

Distributions backport fixes, so the version that fixes this vulnerability differs per release — upgrade to at least the version shown. From the distributions' security trackers and advisories.

ReleasePackageFixed inAdvisory
openSUSE Leap 15.2 tensorflow2 +3 2.1.2-lp152.7.3.1 openSUSE-SU-2020:1766-1

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI tensorflow >= 2.2.0, < 2.2.1 2.2.1 GHSA-q8qj-fc9q-cphr
PyPI tensorflow >= 2.3.0, < 2.3.1 2.3.1 GHSA-q8qj-fc9q-cphr
PyPI tensorflow < 2.2.1 · >= 2.3.0rc0, < 2.3.1 2.2.1, 2.3.1 PYSEC-2020-114
PyPI tensorflow-cpu >= 2.2.0, < 2.2.1 2.2.1 GHSA-q8qj-fc9q-cphr
PyPI tensorflow-cpu >= 2.3.0, < 2.3.1 2.3.1 GHSA-q8qj-fc9q-cphr
PyPI tensorflow-cpu < 2.2.1 · >= 2.3.0rc0, < 2.3.1 2.2.1, 2.3.1 PYSEC-2020-271
PyPI tensorflow-gpu >= 2.2.0, < 2.2.1 2.2.1 GHSA-q8qj-fc9q-cphr
PyPI tensorflow-gpu >= 2.3.0, < 2.3.1 2.3.1 GHSA-q8qj-fc9q-cphr
PyPI tensorflow-gpu < 2.2.1 · >= 2.3.0rc0, < 2.3.1 2.2.1, 2.3.1 PYSEC-2020-306

Advisories 1

References