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OpenAdvisories
High · 7.3 CVE-2021-37635 BIT-tensorflow-2021-37635EUVD-2021-0361GHSA-cgfm-62j4-v4rfPYSEC-2021-257PYSEC-2021-548PYSEC-2021-746

Heap out of bounds access in sparse reduction operations 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 sparse reduction operations in TensorFlow can trigger accesses outside of bounds of heap allocated data. The [implementation](https://github.com/tensorflow/tensorflow/blob/a1bc56203f21a5a4995311825ffaba7a670d7747/tensorflow/core/kernels/sparse_reduce_op.cc#L217-L228) fails to validate that each reduction group does not overflow and that each corresponding index does not point to outside the bounds of the input tensor. We have patched the issue in GitHub commit 87158f43f05f2720a374f3e6d22a7aaa3a33f750. 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-cgfm-62j4-v4rf
PyPI tensorflow >= 2.4.0, < 2.4.3 2.4.3 GHSA-cgfm-62j4-v4rf
PyPI tensorflow >= 2.5.0, < 2.5.1 2.5.1 GHSA-cgfm-62j4-v4rf
PyPI tensorflow >= 2.3.0, < 2.3.4 · >= 2.4.0, < 2.4.3 2.3.4, 2.4.3 PYSEC-2021-257
PyPI tensorflow-cpu < 2.3.4 2.3.4 GHSA-cgfm-62j4-v4rf
PyPI tensorflow-cpu >= 2.4.0, < 2.4.3 2.4.3 GHSA-cgfm-62j4-v4rf
PyPI tensorflow-cpu >= 2.5.0, < 2.5.1 2.5.1 GHSA-cgfm-62j4-v4rf
PyPI tensorflow-cpu >= 2.3.0, < 2.3.4 · >= 2.4.0, < 2.4.3 2.3.4, 2.4.3 PYSEC-2021-548
PyPI tensorflow-gpu < 2.3.4 2.3.4 GHSA-cgfm-62j4-v4rf
PyPI tensorflow-gpu >= 2.4.0, < 2.4.3 2.4.3 GHSA-cgfm-62j4-v4rf
PyPI tensorflow-gpu >= 2.5.0, < 2.5.1 2.5.1 GHSA-cgfm-62j4-v4rf
PyPI tensorflow-gpu >= 2.3.0, < 2.3.4 · >= 2.4.0, < 2.4.3 2.3.4, 2.4.3 PYSEC-2021-746

Advisories 1

References