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OpenAdvisories
Medium · 6.5 CVE-2022-23568 BIT-tensorflow-2022-23568EUVD-2022-0316GHSA-6445-fm66-fvq2PYSEC-2022-132PYSEC-2022-77PYSEC-2026-3114

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 implementation of `AddManySparseToTensorsMap` is vulnerable to an integer overflow which results in a `CHECK`-fail when building new `TensorShape` objects (so, an assert failure 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-6445-fm66-fvq2
PyPI tensorflow >= 2.6.0, < 2.6.3 2.6.3 GHSA-6445-fm66-fvq2
PyPI tensorflow >= 2.7.0, < 2.7.1 2.7.1 GHSA-6445-fm66-fvq2
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-2026-3114
PyPI tensorflow-cpu < 2.5.3 2.5.3 GHSA-6445-fm66-fvq2
PyPI tensorflow-cpu >= 2.6.0, < 2.6.3 2.6.3 GHSA-6445-fm66-fvq2
PyPI tensorflow-cpu >= 2.7.0, < 2.7.1 2.7.1 GHSA-6445-fm66-fvq2
PyPI tensorflow-cpu < 2.5.3 · >= 2.6.0, < 2.6.3 2.5.3, 2.6.3 PYSEC-2022-77
PyPI tensorflow-gpu < 2.5.3 2.5.3 GHSA-6445-fm66-fvq2
PyPI tensorflow-gpu >= 2.6.0, < 2.6.3 2.6.3 GHSA-6445-fm66-fvq2
PyPI tensorflow-gpu >= 2.7.0, < 2.7.1 2.7.1 GHSA-6445-fm66-fvq2
PyPI tensorflow-gpu < 2.5.3 · >= 2.6.0, < 2.6.3 2.5.3, 2.6.3 PYSEC-2022-132

References