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OpenAdvisories
Medium · 4.3 CVE-2020-15192 BIT-tensorflow-2020-15192EUVD-2020-0188GHSA-8fxw-76px-3rxvPYSEC-2020-115PYSEC-2020-272PYSEC-2020-307

Memory leak 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 a list of strings to `dlpack.to_dlpack` there is a memory leak following an expected validation failure. The issue occurs because the `status` argument during validation failures is not properly checked. Since each of the above methods can return an error status, the `status` value must be checked before continuing. 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-8fxw-76px-3rxv
PyPI tensorflow >= 2.3.0, < 2.3.1 2.3.1 GHSA-8fxw-76px-3rxv
PyPI tensorflow < 2.2.1 · >= 2.3.0rc0, < 2.3.1 2.2.1, 2.3.1 PYSEC-2020-115
PyPI tensorflow-cpu >= 2.2.0, < 2.2.1 2.2.1 GHSA-8fxw-76px-3rxv
PyPI tensorflow-cpu >= 2.3.0, < 2.3.1 2.3.1 GHSA-8fxw-76px-3rxv
PyPI tensorflow-cpu < 2.2.1 · >= 2.3.0rc0, < 2.3.1 2.2.1, 2.3.1 PYSEC-2020-272
PyPI tensorflow-gpu >= 2.2.0, < 2.2.1 2.2.1 GHSA-8fxw-76px-3rxv
PyPI tensorflow-gpu >= 2.3.0, < 2.3.1 2.3.1 GHSA-8fxw-76px-3rxv
PyPI tensorflow-gpu < 2.2.1 · >= 2.3.0rc0, < 2.3.1 2.2.1, 2.3.1 PYSEC-2020-307

Advisories 1

References