PyPI: tensorflow

CVE-2021-41203

Safety vulnerability ID: SFTY-20211105-71514

Safety legacy ID: pyup.io-42450

Tensorflow versions 2.4.4, 2.5.2 and 2.6.1 include a fix for CVE-2021-41203: In affected versions, an attacker can trigger undefined behavior, integer overflows, segfaults and 'CHECK'-fail crashes if they can change saved checkpoints from outside of TensorFlow. This is because the checkpoints loading infrastructure is missing validation for invalid file formats. https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7pxj-m4jf-r6h2

Created at: Jul 5, 2026Updated at: Jul 5, 2026

Overview

Missing validation during checkpoint loading

Advisory

Tensorflow versions 2.4.4, 2.5.2 and 2.6.1 include a fix for CVE-2021-41203: In affected versions, an attacker can trigger undefined behavior, integer overflows, segfaults and 'CHECK'-fail crashes if they can change saved checkpoints from outside of TensorFlow. This is because the checkpoints loading infrastructure is missing validation for invalid file formats. https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7pxj-m4jf-r6h2

Affected Package

Affecting tensorflow package, versions<2.4.4>=2.5.0rc0,<2.5.2>=2.6.0rc0,<2.6.1

Also affects

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How to Fix

Upgradetensorflowto2.4.42.5.22.6.1or 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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