TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all binary cwise operations that don't require broadcasting (e.g., gradients of binary cwise operations). The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/cwise_ops_common.h#L264) assumes that the two inputs have exactly the same number of elements but does not check that. Hence, when the eigen functor executes it triggers heap OOB reads and undefined behavior due to binding to nullptr. We have patched the issue in GitHub commit 93f428fd1768df147171ed674fee1fc5ab8309ec. 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.

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 cause undefined behavior via binding a reference to null pointer in all binary cwise operations that
    don't require broadcasting (e.g., gradients of binary cwise operations). The [implementation](https://gith
    ub.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/cwise_o
    ps_common.h#L264) assumes that the two inputs have exactly the same number of elements but does not check
    that. Hence, when the eigen functor executes it triggers heap OOB reads and undefined behavior due to
    binding to nullptr. We have patched the issue in GitHub commit 93f428fd1768df147171ed674fee1fc5ab8309ec.
    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-2021-37659)

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.

ID	Name	Product	Family	Severity
417834	SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-q3g3-h9r4-prrc)	Tenable Cloud Security	SCA Checks	high
417834	SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-q3g3-h9r4-prrc)	Tenable Self-Hosted Container Security	SCA Checks	high
162400	openSUSE 15 Security Update : tensorflow2 (openSUSE-SU-2022:10014-1)	Nessus	SuSE Local Security Checks	high

Detections

Analytics

CVE-2021-37659

high

Tenable Plugins

high

high

high