TensorFlow is an open source platform for machine learning. If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a `nullptr`, which is not caught. An example can be seen in `tf.compat.v1.extract_volume_patches` by passing in quantized tensors as input `ksizes`. We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce. 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 list of quantized tensors is assigned to
    an attribute, the pywrap code fails to parse the tensor and returns a `nullptr`, which is not caught. An
    example can be seen in `tf.compat.v1.extract_volume_patches` by passing in quantized tensors as input
    `ksizes`. We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce. 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-2022-41889)

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-2022-41889 advisory.

  - TensorFlow is an open source platform for machine learning. If a list of quantized tensors is assigned to     an attribute, the pywrap code fails to parse the tensor and returns a `nullptr`, which is not caught. An     example can be seen in `tf.compat.v1.extract_volume_patches` by passing in quantized tensors as input     `ksizes`. We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce. 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-2022-41889)

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
420741	SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-xxcj-rhqg-m46g)	Tenable Cloud Security	SCA Checks	high
420741	SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-xxcj-rhqg-m46g)	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
172826	CBL Mariner 2.0 Security Update: tensorflow (CVE-2022-41889)	Nessus	MarinerOS Local Security Checks	high

Detections

Analytics

CVE-2022-41889

high

Tenable Plugins

high

high

critical

critical

high