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OpenAdvisories
Medium · 6.5 CVE-2022-23567 BIT-tensorflow-2022-23567EUVD-2022-0315GHSA-rrx2-r989-2c43PYSEC-2022-131PYSEC-2022-76PYSEC-2026-3240

Integer overflows in Tensorflow

Published Feb 3, 2022 · Updated May 5, 2025 · Assigned by GitHub_M

Package: tensorflow Package: tensorflow-cpu Package: tensorflow-gpu Ecosystem: PyPI

Description

Tensorflow is an Open Source Machine Learning Framework. The implementations of `Sparse*Cwise*` ops are vulnerable to integer overflows. These can be used to trigger large allocations (so, OOM based denial of service) or `CHECK`-fails when building new `TensorShape` objects (so, assert failures based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI tensorflow < 2.5.3 2.5.3 GHSA-rrx2-r989-2c43
PyPI tensorflow >= 2.6.0, < 2.6.3 2.6.3 GHSA-rrx2-r989-2c43
PyPI tensorflow >= 2.7.0, < 2.7.1 2.7.1 GHSA-rrx2-r989-2c43
PyPI tensorflow < 2.5.3 · >= 2.6.0, < 2.6.3 · >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1 PYSEC-2026-3240
PyPI tensorflow-cpu < 2.5.3 2.5.3 GHSA-rrx2-r989-2c43
PyPI tensorflow-cpu >= 2.6.0, < 2.6.3 2.6.3 GHSA-rrx2-r989-2c43
PyPI tensorflow-cpu >= 2.7.0, < 2.7.1 2.7.1 GHSA-rrx2-r989-2c43
PyPI tensorflow-cpu < 2.5.3 · >= 2.6.0, < 2.6.3 2.5.3, 2.6.3 PYSEC-2022-76
PyPI tensorflow-gpu < 2.5.3 2.5.3 GHSA-rrx2-r989-2c43
PyPI tensorflow-gpu >= 2.6.0, < 2.6.3 2.6.3 GHSA-rrx2-r989-2c43
PyPI tensorflow-gpu >= 2.7.0, < 2.7.1 2.7.1 GHSA-rrx2-r989-2c43
PyPI tensorflow-gpu < 2.5.3 · >= 2.6.0, < 2.6.3 2.5.3, 2.6.3 PYSEC-2022-131

References