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HIGH · 8.0

CVE-2023-25801

TensorFlow is an open source machine learning platform. Prior to versions 2.12.0 and 2.11.1, `nn_ops.fractional_avg_pool_v2` and `nn_ops.fractional_max_pool_v2` require the first and fourth elements o...

Vulnerability Description

TensorFlow is an open source machine learning platform. Prior to versions 2.12.0 and 2.11.1, `nn_ops.fractional_avg_pool_v2` and `nn_ops.fractional_max_pool_v2` require the first and fourth elements of their parameter `pooling_ratio` to be equal to 1.0, as pooling on batch and channel dimensions is not supported. A fix is included in TensorFlow 2.12.0 and 2.11.1.

CVSS Score

8.0

HIGH

CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H
Attack Vector
LOCAL
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
LOW
Integrity
HIGH
Availability
HIGH

Affected Products

VendorProductVersions
GoogleTensorflow< 2.12.0

Related Weaknesses (CWE)

CWE-415

References

FAQ

What is CVE-2023-25801?

CVE-2023-25801 is a vulnerability with a CVSS score of 8.0 (HIGH). TensorFlow is an open source machine learning platform. Prior to versions 2.12.0 and 2.11.1, `nn_ops.fractional_avg_pool_v2` and `nn_ops.fractional_max_pool_v2` require the first and fourth elements o...

How severe is CVE-2023-25801?

CVE-2023-25801 has been rated HIGH with a CVSS base score of 8.0/10. Review the CVSS metrics above for detailed severity breakdown.

Is there a patch for CVE-2023-25801?

Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.