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OpenAdvisories
High · 8.5 CVE-2020-15195 BIT-tensorflow-2020-15195EUVD-2020-0191GHSA-63xm-rx5p-xvqrPYSEC-2020-118PYSEC-2020-275PYSEC-2020-310

Heap buffer overflow in Tensorflow

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

Description

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of `SparseFillEmptyRowsGrad` uses a double indexing pattern. It is possible for `reverse_index_map(i)` to be an index outside of bounds of `grad_values`, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Affected products

VendorProductAffectedFixed
tensorflow tensorflow < 1.15.4, >= 2.0.0, < 2.0.3, >= 2.1.0, < 2.1.2, >= 2.2.0, < 2.2.1, >= 2.3.0, < 2.3.1 —

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 < 1.15.4 1.15.4 GHSA-63xm-rx5p-xvqr
PyPI tensorflow >= 2.0.0, < 2.0.3 2.0.3 GHSA-63xm-rx5p-xvqr
PyPI tensorflow >= 2.1.0, < 2.1.2 2.1.2 GHSA-63xm-rx5p-xvqr
PyPI tensorflow >= 2.2.0, < 2.2.1 2.2.1 GHSA-63xm-rx5p-xvqr
PyPI tensorflow >= 2.3.0, < 2.3.1 2.3.1 GHSA-63xm-rx5p-xvqr
PyPI tensorflow < 1.15.4 · >= 2.0.0, < 2.0.3 · >= 2.1.0, < 2.1.2 · >= 2.2.0, < 2.2.1 · >= 2.3.0, < 2.3.1 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 PYSEC-2020-118
PyPI tensorflow-cpu < 1.15.4 1.15.4 GHSA-63xm-rx5p-xvqr
PyPI tensorflow-cpu >= 2.0.0, < 2.0.3 2.0.3 GHSA-63xm-rx5p-xvqr
PyPI tensorflow-cpu >= 2.1.0, < 2.1.2 2.1.2 GHSA-63xm-rx5p-xvqr
PyPI tensorflow-cpu >= 2.2.0, < 2.2.1 2.2.1 GHSA-63xm-rx5p-xvqr
PyPI tensorflow-cpu >= 2.3.0, < 2.3.1 2.3.1 GHSA-63xm-rx5p-xvqr
PyPI tensorflow-cpu < 1.15.4 · >= 2.0.0, < 2.0.3 · >= 2.1.0, < 2.1.2 · >= 2.2.0, < 2.2.1 · >= 2.3.0, < 2.3.1 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 PYSEC-2020-275
PyPI tensorflow-gpu < 1.15.4 1.15.4 GHSA-63xm-rx5p-xvqr
PyPI tensorflow-gpu >= 2.0.0, < 2.0.3 2.0.3 GHSA-63xm-rx5p-xvqr
PyPI tensorflow-gpu >= 2.1.0, < 2.1.2 2.1.2 GHSA-63xm-rx5p-xvqr
PyPI tensorflow-gpu >= 2.2.0, < 2.2.1 2.2.1 GHSA-63xm-rx5p-xvqr
PyPI tensorflow-gpu >= 2.3.0, < 2.3.1 2.3.1 GHSA-63xm-rx5p-xvqr
PyPI tensorflow-gpu < 1.15.4 · >= 2.0.0, < 2.0.3 · >= 2.1.0, < 2.1.2 · >= 2.2.0, < 2.2.1 · >= 2.3.0, < 2.3.1 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 PYSEC-2020-310

Advisories 1

References