TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

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

  - TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such
    that one element is zero and the others sum to a large number, an error will be raised. We have patched
    the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in
    TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as
    these are also affected and still in supported range. (CVE-2022-41884)

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-2022-41884 advisory.

  - TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such     that one element is zero and the others sum to a large number, an error will be raised. We have patched     the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in     TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as     these are also affected and still in supported range. (CVE-2022-41884)

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	Severity
416519	SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-jq6x-99hj-q636)	Tenable Cloud Security	SCA Checks	high
416519	SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-jq6x-99hj-q636)	Tenable Self-Hosted Container Security	SCA Checks	high
197897	TensorFlow < 2.9.3 Multiple Vulnerabilities	Nessus	Misc.	critical
197513	TensorFlow < 2.10.1 Multiple Vulnerabilities	Nessus	Misc.	critical
172882	CBL Mariner 2.0 Security Update: tensorflow (CVE-2022-41884)	Nessus	MarinerOS Local Security Checks	high

Detections

Analytics

CVE-2022-41884

high

Tenable Plugins

high

high

critical

critical

high