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OpenAdvisories
Medium · 5.5 CVE-2021-37673 BIT-tensorflow-2021-37673EUVD-2021-0399GHSA-278g-rq84-9hmgPYSEC-2021-295PYSEC-2021-586PYSEC-2021-784

`CHECK`-fail in `MapStage` 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 an attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.MapStage`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/map_stage_op.cc#L513) does not check that the `key` input is a valid non-empty tensor. We have patched the issue in GitHub commit d7de67733925de196ec8863a33445b73f9562d1d. 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-278g-rq84-9hmg
PyPI tensorflow >= 2.4.0, < 2.4.3 2.4.3 GHSA-278g-rq84-9hmg
PyPI tensorflow >= 2.5.0, < 2.5.1 2.5.1 GHSA-278g-rq84-9hmg
PyPI tensorflow >= 2.3.0, < 2.3.4 · >= 2.4.0, < 2.4.3 2.3.4, 2.4.3 PYSEC-2021-295
PyPI tensorflow-cpu < 2.3.4 2.3.4 GHSA-278g-rq84-9hmg
PyPI tensorflow-cpu >= 2.4.0, < 2.4.3 2.4.3 GHSA-278g-rq84-9hmg
PyPI tensorflow-cpu >= 2.5.0, < 2.5.1 2.5.1 GHSA-278g-rq84-9hmg
PyPI tensorflow-cpu >= 2.3.0, < 2.3.4 · >= 2.4.0, < 2.4.3 2.3.4, 2.4.3 PYSEC-2021-586
PyPI tensorflow-gpu < 2.3.4 2.3.4 GHSA-278g-rq84-9hmg
PyPI tensorflow-gpu >= 2.4.0, < 2.4.3 2.4.3 GHSA-278g-rq84-9hmg
PyPI tensorflow-gpu >= 2.5.0, < 2.5.1 2.5.1 GHSA-278g-rq84-9hmg
PyPI tensorflow-gpu >= 2.3.0, < 2.3.4 · >= 2.4.0, < 2.4.3 2.3.4, 2.4.3 PYSEC-2021-784

Advisories 1

References