CVE-2021-41215: Null pointer exception in `DeserializeSparse`

Published Nov 5, 2021
·
Updated

Impact The shape inference code for DeserializeSparse can trigger a null pointer dereference:

python import tensorflow as tf

dataset = tf.data.Dataset.range(3) @tf.function def test(): y = tf.rawops.DeserializeSparse( serializedsparse=tf.data.experimental.tovariant(dataset), dtype=tf.int32)

test()

This is because the shape inference function assumes that the serializesparse tensor is a tensor with positive rank (and having 3 as the last dimension). However, in the example above, the argument is a scalar (i.e., rank 0).

Patches We have patched the issue in GitHub commit d3738dd70f1c9ceb547258cbb82d853da8771850.

The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

For more information Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

Other sources

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for DeserializeSparse can trigger a null pointer dereference. This is because the shape inference function assumes that the serializesparse tensor is a tensor with positive rank (and having 3 as the last dimension). The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Affected Software

12 affected componentsFixes available
pip/tensorflow-gpu<2.4.4
2.4.4
pip/tensorflow-gpu>=2.5.0<2.5.2
2.5.2
pip/tensorflow-gpu>=2.6.0<2.6.1
2.6.1
pip/tensorflow-cpu<2.4.4
2.4.4
pip/tensorflow-cpu>=2.5.0<2.5.2
2.5.2
pip/tensorflow-cpu>=2.6.0<2.6.1
2.6.1
pip/tensorflow<2.4.4
2.4.4
pip/tensorflow>=2.5.0<2.5.2
2.5.2
pip/tensorflow>=2.6.0<2.6.1
2.6.1
Google TensorFlow<2.4.4
Google TensorFlow>=2.5.0<2.5.2
Google TensorFlow=2.6.0

Event History

Nov 5, 2021
CVE Published
via MITRE·08:55 PM
Data Sourced
via MITRE·08:55 PM
DescriptionSeverityWeakness
Data Sourced
via NVD·09:15 PM
RemedyDescriptionSeverityWeaknessAffected Software
Nov 10, 2021
Advisory Published
via GitHub·06:57 PM

Frequently Asked Questions

1

What is the severity of CVE-2021-41215?

CVE-2021-41215 has a moderate severity level as it can cause a null pointer dereference.

2

How do I fix CVE-2021-41215?

To fix CVE-2021-41215, update TensorFlow to versions 2.4.4, 2.5.2, or 2.6.1.

3

Which TensorFlow versions are affected by CVE-2021-41215?

TensorFlow versions prior to 2.4.4 and between 2.5.0 and 2.5.2, as well as between 2.6.0 and 2.6.1 are affected by CVE-2021-41215.

4

What components of TensorFlow are impacted by CVE-2021-41215?

CVE-2021-41215 impacts the TensorFlow libraries including tensorflow-gpu, tensorflow-cpu, and the main tensorflow package.

5

Is CVE-2021-41215 related to any specific TensorFlow functionality?

Yes, CVE-2021-41215 is related to the shape inference code for the DeserializeSparse function.

Contact

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