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

7.5HIGH

Key Information:

Vendor

Tensorflow
Status
Tensorflow
Vendor
CVE Published:
25 March 2023

What is CVE-2023-25670?

An issue in TensorFlow, an open-source machine learning platform, has been identified where a null pointer deference occurs in the QuantizedMatMulWithBiasAndDequantize function when the Math Kernel Library (MKL) is enabled. This vulnerability affects versions of TensorFlow prior to 2.12.0 and 2.11.1. Users are encouraged to upgrade to the fixed versions to mitigate the risk associated with this error.

Affected Version(s)

tensorflow < 2.11.1

References

https://github.com/tensorflow/tensorflow/security/advisor...
x_refsource_CONFIRM
https://github.com/tensorflow/tensorflow/commit/8a47a39d9...
x_refsource_MISC

CVSS V3.1

Score:
7.5
Severity:
HIGH
Confidentiality:
None
Integrity:
None
Availability:
None
Attack Vector:
Network
Attack Complexity:
Low
Privileges Required:
None
User Interaction:
None
Scope:
Unchanged

Timeline

  • Vulnerability published

  • Vulnerability Reserved

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