CVE-2022-29210: TensorFlow - Poor Hash Function and ASAN Failures

tensorflow Updated 02 Oct 2025

Summary

06/03/2024

Disclosed on

CVE-2022-29210

CVE

Yes i

Fix available

Medium

Severity

Not published

CVSS Score

CVE-2022-29210: Heap buffer overflow due to incorrect hash function in TensorFlow. Affects tensorflow versions >= 2.8.0, < 2.8.1. Fixed in 2.8.1. How to fix ↓

Also tracked for

tensorflow · PyPI
tensorflow-cpu · PyPI
tensorflow-gpu · PyPI
tensorflow · PyPI

The same CVE-2022-29210 is tracked separately for each ecosystem and vendor. Its fix information is the same; the package and affected versions differ.

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Background

TensorFlow is an open source platform for machine learning. It provides a comprehensive ecosystem of tools, libraries, and resources for developing and deploying machine learning models. TensorFlow is widely used in various industries and research fields due to its flexibility, scalability, and extensive community support. However, in version 2.8.0, a vulnerability was discovered that could lead to ASAN failures and impact the integrity of the machine learning process.

Vulnerability Detail

The vulnerability in TensorFlow version 2.8.0 is related to the TensorKey hash function. This function used the total estimated AllocatedBytes() as a hash value, which is an estimate per tensor and a poor hash function for constants like int32_t. Additionally, it attempted to access individual tensor bytes through tensor.data() of size AllocatedBytes(). This approach caused ASAN failures because AllocatedBytes() includes any pointed-to constructs, such as strings, and does not refer to contiguous bytes in the .data() buffer. The discoverers of the vulnerability needed to hash the string values themselves, but the byte vector provided by tensor.data() was not suitable. This vulnerability has been patched in TensorFlow versions 2.9.0 and 2.8.1.

How To Fix

Minimum fixed version

2.8.1

This is the first release that contains the fix.

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Workaround

There is no specific workaround mentioned for this vulnerability.

Conclusion

The vulnerability in TensorFlow version 2.8.0 related to the TensorKey hash function has been addressed in versions 2.9.0 and 2.8.1. It is crucial to update TensorFlow to these patched versions to ensure the integrity and security of machine learning processes. For further support on vulnerability remediation, please contact DevNack.com.

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