CVE-2023-25670: TensorFlow has Null Pointer Error in QuantizedMatMulWithBiasAndDequantize

Published 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.

Affected Software

1 affected component
Google TensorFlow<2.12.0

Event History

Mar 24, 2023
CVE Published
via MITRE·11:32 PM
Data Sourced
via MITRE·11:32 PM
DescriptionSeverityWeakness
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Frequently Asked Questions

1

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.

2

What is the severity of CVE-2023-25670?

The severity of CVE-2023-25670 is high, with a severity value of 7.5.

3

How does CVE-2023-25670 impact the affected software?

CVE-2023-25670 causes a null pointer error in QuantizedMatMulWithBiasAndDequantize with MKL enabled in TensorFlow.

4

How can I fix CVE-2023-25670?

To fix CVE-2023-25670, update TensorFlow to version 2.12.0 or version 2.11.1.

5

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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