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OpenAdvisories
Medium · 5.9 CVE-2022-35982 BIT-tensorflow-2022-35982EUVD-2022-6675GHSA-397c-5g2j-qxpvPYSEC-2026-3093PYSEC-2026-3270PYSEC-2026-947

Segfault in `SparseBincount` in TensorFlow

Published Sep 16, 2022 · Updated Apr 23, 2025 · Assigned by GitHub_M

Description

TensorFlow is an open source platform for machine learning. If `SparseBincount` is given inputs for `indices`, `values`, and `dense_shape` that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 40adbe4dd15b582b0210dfbf40c243a62f5119fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Affected products

VendorProductAffectedFixed
tensorflow tensorflow < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1 —

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI tensorflow < 2.7.2 2.7.2 GHSA-397c-5g2j-qxpv
PyPI tensorflow >= 2.8.0, < 2.8.1 2.8.1 GHSA-397c-5g2j-qxpv
PyPI tensorflow >= 2.9.0, < 2.9.1 2.9.1 GHSA-397c-5g2j-qxpv
PyPI tensorflow < 2.7.2 · >= 2.8.0, < 2.8.1 · >= 2.9.0, < 2.9.1 2.7.2, 2.8.1, 2.9.1 PYSEC-2026-3093
PyPI tensorflow-cpu < 2.7.2 2.7.2 GHSA-397c-5g2j-qxpv
PyPI tensorflow-cpu >= 2.8.0, < 2.8.1 2.8.1 GHSA-397c-5g2j-qxpv
PyPI tensorflow-cpu >= 2.9.0, < 2.9.1 2.9.1 GHSA-397c-5g2j-qxpv
PyPI tensorflow-cpu < 2.7.2 · >= 2.8.0, < 2.8.1 · >= 2.9.0, < 2.9.1 2.7.2, 2.8.1, 2.9.1 PYSEC-2026-3270
PyPI tensorflow-gpu < 2.7.2 2.7.2 GHSA-397c-5g2j-qxpv
PyPI tensorflow-gpu >= 2.8.0, < 2.8.1 2.8.1 GHSA-397c-5g2j-qxpv
PyPI tensorflow-gpu >= 2.9.0, < 2.9.1 2.9.1 GHSA-397c-5g2j-qxpv
PyPI tensorflow-gpu < 2.7.2 · >= 2.8.0, < 2.8.1 · >= 2.9.0, < 2.9.1 2.7.2, 2.8.1, 2.9.1 PYSEC-2026-947

References