CVE-2021-41222

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.

Weakness

The product performs a calculation that generates incorrect or unintended results that are later used in security-critical decisions or resource management.

Affected Software

Potential Mitigations

• Use languages, libraries, or frameworks that make it easier to handle numbers without unexpected consequences.
• Examples include safe integer handling packages such as SafeInt (C++) or IntegerLib (C or C++).
• Use languages, libraries, or frameworks that make it easier to handle numbers without unexpected consequences.
• Examples include safe integer handling packages such as SafeInt (C++) or IntegerLib (C or C++).

Related Attack Patterns

• https://cwe.mitre.org/data/definitions/128.html
• https://cwe.mitre.org/data/definitions/129.html

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