CVE-2023-25670: TensorFlow has Null Pointer Error in QuantizedMatMulWithBiasAndDequantize
First published: Fri Mar 24 2023(Updated: )
TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a null point error in QuantizedMatMulWithBiasAndDequantize with MKL enabled. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.
Credit: security-advisories@github.com
| Affected Software | Affected Version | How to fix |
|---|---|---|
| Google TensorFlow | <2.12.0 |
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Reference Links
Frequently Asked Questions
What is CVE-2023-25670?
CVE-2023-25670 is a vulnerability in TensorFlow, an open source platform for machine learning. It affects versions prior to 2.12.0 and 2.11.1.
What is the severity of CVE-2023-25670?
The severity of CVE-2023-25670 is high, with a severity value of 7.5.
How does CVE-2023-25670 impact the affected software?
CVE-2023-25670 causes a null pointer error in QuantizedMatMulWithBiasAndDequantize with MKL enabled in TensorFlow.
How can I fix CVE-2023-25670?
To fix CVE-2023-25670, update TensorFlow to version 2.12.0 or version 2.11.1.
Where can I find more information about CVE-2023-25670?
You can find more information about CVE-2023-25670 in the following references: [GitHub Commit](https://github.com/tensorflow/tensorflow/commit/8a47a39d9697969206d23a523c977238717e8727) and [GitHub Security Advisories](https://github.com/tensorflow/tensorflow/security/advisories/GHSA-49rq-hwc3-x77w).
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