Skip to content
OpenAdvisories
Medium · 5.5 CVE-2021-37691 BIT-tensorflow-2021-37691EUVD-2021-0417GHSA-27qf-jwm8-g7f3PYSEC-2021-313PYSEC-2021-604PYSEC-2021-802

Division by zero in LSH in TensorFlow Lite

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 an attacker can craft a TFLite model that would trigger a division by zero error in LSH [implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/lsh_projection.cc#L118). We have patched the issue in GitHub commit 0575b640091680cfb70f4dd93e70658de43b94f9. The fix will be included in TensorFlow 2.6.0. We will also cherrypick thiscommit 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-27qf-jwm8-g7f3
PyPI tensorflow >= 2.4.0, < 2.4.3 2.4.3 GHSA-27qf-jwm8-g7f3
PyPI tensorflow >= 2.5.0, < 2.5.1 2.5.1 GHSA-27qf-jwm8-g7f3
PyPI tensorflow >= 2.3.0, < 2.3.4 · >= 2.4.0, < 2.4.3 2.3.4, 2.4.3 PYSEC-2021-313
PyPI tensorflow-cpu < 2.3.4 2.3.4 GHSA-27qf-jwm8-g7f3
PyPI tensorflow-cpu >= 2.4.0, < 2.4.3 2.4.3 GHSA-27qf-jwm8-g7f3
PyPI tensorflow-cpu >= 2.5.0, < 2.5.1 2.5.1 GHSA-27qf-jwm8-g7f3
PyPI tensorflow-cpu >= 2.3.0, < 2.3.4 · >= 2.4.0, < 2.4.3 2.3.4, 2.4.3 PYSEC-2021-604
PyPI tensorflow-gpu < 2.3.4 2.3.4 GHSA-27qf-jwm8-g7f3
PyPI tensorflow-gpu >= 2.4.0, < 2.4.3 2.4.3 GHSA-27qf-jwm8-g7f3
PyPI tensorflow-gpu >= 2.5.0, < 2.5.1 2.5.1 GHSA-27qf-jwm8-g7f3
PyPI tensorflow-gpu >= 2.3.0, < 2.3.4 · >= 2.4.0, < 2.4.3 2.3.4, 2.4.3 PYSEC-2021-802

Advisories 1

References