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OpenAdvisories
High · 8.7 CVE-2020-15207 BIT-tensorflow-2020-15207EUVD-2020-0203GHSA-q4qf-3fc6-8x34PYSEC-2020-130PYSEC-2020-287PYSEC-2020-322

Segfault and data corruption in tensorflow-lite

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

Description

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses `ResolveAxis` to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the `DCHECK` does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption. The issue is patched in commit 2d88f470dea2671b430884260f3626b1fe99830a, 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-q4qf-3fc6-8x34
PyPI tensorflow >= 2.0.0, < 2.0.3 2.0.3 GHSA-q4qf-3fc6-8x34
PyPI tensorflow >= 2.1.0, < 2.1.2 2.1.2 GHSA-q4qf-3fc6-8x34
PyPI tensorflow >= 2.2.0, < 2.2.1 2.2.1 GHSA-q4qf-3fc6-8x34
PyPI tensorflow >= 2.3.0, < 2.3.1 2.3.1 GHSA-q4qf-3fc6-8x34
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-2020-130
PyPI tensorflow-cpu < 1.15.4 1.15.4 GHSA-q4qf-3fc6-8x34
PyPI tensorflow-cpu >= 2.0.0, < 2.0.3 2.0.3 GHSA-q4qf-3fc6-8x34
PyPI tensorflow-cpu >= 2.1.0, < 2.1.2 2.1.2 GHSA-q4qf-3fc6-8x34
PyPI tensorflow-cpu >= 2.2.0, < 2.2.1 2.2.1 GHSA-q4qf-3fc6-8x34
PyPI tensorflow-cpu >= 2.3.0, < 2.3.1 2.3.1 GHSA-q4qf-3fc6-8x34
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-2020-287
PyPI tensorflow-gpu < 1.15.4 1.15.4 GHSA-q4qf-3fc6-8x34
PyPI tensorflow-gpu >= 2.0.0, < 2.0.3 2.0.3 GHSA-q4qf-3fc6-8x34
PyPI tensorflow-gpu >= 2.1.0, < 2.1.2 2.1.2 GHSA-q4qf-3fc6-8x34
PyPI tensorflow-gpu >= 2.2.0, < 2.2.1 2.2.1 GHSA-q4qf-3fc6-8x34
PyPI tensorflow-gpu >= 2.3.0, < 2.3.1 2.3.1 GHSA-q4qf-3fc6-8x34
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-2020-322

Advisories 1

References