TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.

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

  - TensorFlow is an open source platform for machine learning. The security vulnerability results in
    FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the
    vulnerability. They can access heap memory which is not in the control of user, leading to a crash or
    remote code execution. We have patched the issue in GitHub commit
    216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also
    cherry pick this commit on TensorFlow 2.10.1. (CVE-2022-41900)

The version of TensorFlow installed on the remote host is prior to 2.9.3. 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 2.10.1. 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.

The version of tensorflow installed on the remote CBL Mariner 2.0 host is prior to tested version. It is, therefore, affected by a vulnerability as referenced in the CVE-2022-41900 advisory.

  - TensorFlow is an open source platform for machine learning. The security vulnerability results in     FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the     vulnerability. They can access heap memory which is not in the control of user, leading to a crash or     remote code execution. We have patched the issue in GitHub commit     216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also     cherry pick this commit on TensorFlow 2.10.1. (CVE-2022-41900)

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
420693	SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-xvwp-h6jv-7472)	Tenable Cloud Security	SCA Checks	Local	critical
420693	SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-xvwp-h6jv-7472)	Tenable Self-Hosted Container Security	SCA Checks	Local	critical
197897	TensorFlow < 2.9.3 Multiple Vulnerabilities	Nessus	Misc.	Remote	critical
197513	TensorFlow < 2.10.1 Multiple Vulnerabilities	Nessus	Misc.	Remote	critical
172856	CBL Mariner 2.0 Security Update: tensorflow (CVE-2022-41900)	Nessus	MarinerOS Local Security Checks	Local	critical

Detections

Analytics

CVE-2022-41900

critical

Tenable Plugins

critical

critical

critical

critical

critical