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

  - TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker
    can craft a TFLite model that would trigger a null pointer dereference, which would result in a crash and
    denial of service. This is caused by the MLIR optimization of `L2NormalizeReduceAxis` operator. The [imple
    mentation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorfl
    ow/compiler/mlir/lite/transforms/optimize.cc#L67-L70) unconditionally dereferences a pointer to an
    iterator to a vector without checking that the vector has elements. We have patched the issue in GitHub
    commit d6b57f461b39fd1aa8c1b870f1b974aac3554955. The fix will be included in TensorFlow 2.6.0. We will
    also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also
    affected and still in supported range. (CVE-2021-37689)

The remote openSUSE 15 host has packages installed that are affected by multiple vulnerabilities as referenced in the openSUSE-SU-2022:10014-1 advisory.

    Update to TF2 2.6.0 which fixes multiple CVEs (boo#1189423).

    - Introduction of bazel6.3 and basel-skylib1.0.3 as build       dependencies.
      The latter has been adapted to all a version in its package       name (if %set_ver_suffix is set to 1). This allows multiple       versions to exist for one product (not installed).
      NOTE: basel-skylib1.0.3 does not exist in oS:Factory:
      basel-skylib in oS:Factory - the base version - is 1.0.3.

Tenable has extracted the preceding description block directly from the SUSE security advisory.

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

The version of FreeBSD installed on the remote host is prior to tested version. It is, therefore, affected by a vulnerability as referenced in the d82bcd2b-5cd6-421c-8179-b3ff0231029f advisory.

  - TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker     can craft a TFLite model that would trigger a null pointer dereference, which would result in a crash and     denial of service. This is caused by the MLIR optimization of `L2NormalizeReduceAxis` operator. The [imple     mentation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorfl     ow/compiler/mlir/lite/transforms/optimize.cc#L67-L70) unconditionally dereferences a pointer to an     iterator to a vector without checking that the vector has elements. We have patched the issue in GitHub     commit d6b57f461b39fd1aa8c1b870f1b974aac3554955. The fix will be included in TensorFlow 2.6.0. We will     also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also     affected and still in supported range. (CVE-2021-37689)

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	Published	Updated	Severity
419884	SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-wf5p-c75w-w3wh)	Tenable Self-Hosted Container Security	SCA Checks	1/23/2025	7/2/2026	high
419884	SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-wf5p-c75w-w3wh)	Tenable Cloud Security	SCA Checks	1/23/2025	7/2/2026	high
162400	openSUSE 15 Security Update : tensorflow2 (openSUSE-SU-2022:10014-1)	Nessus	SuSE Local Security Checks	6/19/2022	7/10/2024	high
174298	FreeBSD : py-tflite -- denial of service vulnerability (d82bcd2b-5cd6-421c-8179-b3ff0231029f)	Nessus	FreeBSD Local Security Checks	4/14/2023	4/14/2023	medium

Detections

Analytics

Plugins Search

high

high

high

medium