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OpenAdvisories
Medium · 5.5 CVE-2021-37680 BIT-tensorflow-2021-37680EUVD-2021-0406GHSA-cfpj-3q4c-jhvrPYSEC-2021-302PYSEC-2021-593PYSEC-2021-791

Division by zero in TFLite in TensorFlow

Published Aug 12, 2021 · Updated Aug 4, 2024 · Assigned by GitHub_M

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of fully connected layers in TFLite is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/fully_connected.cc#L226). We have patched the issue in GitHub commit 718721986aa137691ee23f03638867151f74935f. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Affected products

VendorProductAffectedFixed
tensorflow tensorflow >= 2.5.0, < 2.5.1, >= 2.4.0, < 2.4.3, < 2.3.4 —

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
SUSE Package Hub 15 SP3 bazel-skylib1.0.3 1.0.3-bp153.2.1 openSUSE-SU-2022:10014-1
SUSE Package Hub 15 SP3 bazel3.7 3.7.2-bp153.4.1 openSUSE-SU-2022:10014-1
SUSE Package Hub 15 SP3 tensorflow2 +3 2.6.0-bp153.2.3.1 openSUSE-SU-2022:10014-1
ReleasePackageFixed inAdvisory
openSUSE Leap 15.3 bazel-skylib1.0.3 1.0.3-bp153.2.1 openSUSE-SU-2022:10014-1
openSUSE Leap 15.3 bazel3.7 3.7.2-bp153.4.1 openSUSE-SU-2022:10014-1
openSUSE Leap 15.3 tensorflow2 +3 2.6.0-bp153.2.3.1 openSUSE-SU-2022:10014-1

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI tensorflow < 2.3.4 2.3.4 GHSA-cfpj-3q4c-jhvr
PyPI tensorflow >= 2.4.0, < 2.4.3 2.4.3 GHSA-cfpj-3q4c-jhvr
PyPI tensorflow >= 2.5.0, < 2.5.1 2.5.1 GHSA-cfpj-3q4c-jhvr
PyPI tensorflow >= 2.3.0, < 2.3.4 · >= 2.4.0, < 2.4.3 2.3.4, 2.4.3 PYSEC-2021-302
PyPI tensorflow-cpu < 2.3.4 2.3.4 GHSA-cfpj-3q4c-jhvr
PyPI tensorflow-cpu >= 2.4.0, < 2.4.3 2.4.3 GHSA-cfpj-3q4c-jhvr
PyPI tensorflow-cpu >= 2.5.0, < 2.5.1 2.5.1 GHSA-cfpj-3q4c-jhvr
PyPI tensorflow-cpu >= 2.3.0, < 2.3.4 · >= 2.4.0, < 2.4.3 2.3.4, 2.4.3 PYSEC-2021-593
PyPI tensorflow-gpu < 2.3.4 2.3.4 GHSA-cfpj-3q4c-jhvr
PyPI tensorflow-gpu >= 2.4.0, < 2.4.3 2.4.3 GHSA-cfpj-3q4c-jhvr
PyPI tensorflow-gpu >= 2.5.0, < 2.5.1 2.5.1 GHSA-cfpj-3q4c-jhvr
PyPI tensorflow-gpu >= 2.3.0, < 2.3.4 · >= 2.4.0, < 2.4.3 2.3.4, 2.4.3 PYSEC-2021-791

Advisories 1

References