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.

There are packages installed that are affected by a vulnerability referenced in the following CVE:

  - 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. (CVE-2023-25801)

The version of TensorFlow installed on the remote host is prior to 2.12.0. It is, therefore, affected by multiple vulnerabilities as referenced in the release notes.

    Note that Nessus has not tested for this issue but has instead relied only on the application's self-reported version number.

The version of TensorFlow installed on the remote host is prior to 2.11.1. It is, therefore, affected by multiple vulnerabilities as referenced in the release notes.

    Note that Nessus has not tested for this issue but has instead relied only on the application's self-reported version number.

ID	Name	Product	Family	Type	Severity
414249	SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-f49c-87jh-g47q)	Tenable Cloud Security	SCA Checks	Local	high
414249	SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-f49c-87jh-g47q)	Tenable Self-Hosted Container Security	SCA Checks	Local	high
198224	TensorFlow < 2.12.0 Multiple Vulnerabilities	Nessus	Misc.	Remote	critical
197512	TensorFlow < 2.11.1 Multiple Vulnerabilities	Nessus	Misc.	Remote	critical

Detections

Analytics

CVE-2023-25801

high

Tenable Plugins

high

high

critical

critical