PyPI: tensorflow-cpu

CVE-2022-23591

Safety vulnerability ID: SFTY-20220204-76383

Safety legacy ID: pyup.io-55597

Tensorflow is an Open Source Machine Learning Framework. The 'GraphDef' format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a 'GraphDef' containing a fragment such as the following can be consumed when loading a 'SavedModel'. This would result in a stack overflow during execution as resolving each 'NodeDef' means resolving the function itself and its nodes. 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.

Created at: Nov 5, 2025Updated at: Nov 5, 2025

Overview

Stack overflow in TensorFlow

Advisory

Tensorflow is an Open Source Machine Learning Framework. The 'GraphDef' format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a 'GraphDef' containing a fragment such as the following can be consumed when loading a 'SavedModel'. This would result in a stack overflow during execution as resolving each 'NodeDef' means resolving the function itself and its nodes. 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 Package

Affecting tensorflow-cpu package, versions
<2.5.3
>=2.6.0a0,<2.6.3
>=2.7.0a0,<2.7.1
>=2.8.0a0,<2.8.0

Also affects

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How to Fix

Upgrade
tensorflow-cpu
to
2.5.3
2.6.3
2.7.1
2.8.0
or higher.

Mitigation and Workarounds

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Vulnerable Functions

Functions linked to known vulnerabilities.

Vulnerable function data is available for Enterprise customers

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Safety

Verified by Safety

Our Cybersecurity Intelligence Team reviewed this vulnerability. We combine public data with our own research to find issues not yet reported to public sources.

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