What’s Vulnerable › Vulnerabilities

CVE-2021-41222: Segfault due to negative splits in `SplitV`

• Severity: low (CVSS 2.1 v2.0)
• Exploited in the wild: not listed in CISA KEV
• EPSS: 0.2% probability of exploitation in the next 30 days
• Public exploit or detection template: yes
• Published: 2021-11-05 · updated 2026-06-17
• Weakness: CWE-682

Description

TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SplitV` can trigger a segfault is an attacker supplies negative arguments. This occurs whenever `size_splits` contains more than one value and at least one value is negative. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Affected products

• tensorflow: from 2.4.0 before 2.4.4; from 2.5.0 before 2.5.2; from 2.6.0 before 2.6.1; 2.7.0-rc0, 2.7.0-rc1 — fixed in 2.4.4, 2.5.2, 2.6.1

How to fix

Upgrade to a fixed version: tensorflow 2.4.4, 2.5.2, 2.6.1. Check the vendor advisory for mitigations.

References

• https://github.com/tensorflow/tensorflow/commit/25d622ffc432acc736b14ca3904177579e733cc6
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cpf4-wx82-gxp6
• https://github.com/tensorflow/tensorflow/commit/25d622ffc432acc736b14ca3904177579e733cc6
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cpf4-wx82-gxp6

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