CVE-2021-41210: Heap OOB read in `tf.raw_ops.SparseCountSparseOutput`

Published Nov 5, 2021
·
Updated

Impact The shape inference functions for SparseCountSparseOutput can trigger a read outside of bounds of heap allocated array:

python import tensorflow as tf

@tf.function def func(): return tf.rawops.SparseCountSparseOutput( indices=[1], values=[[1]], denseshape=[10], weights=[], binaryoutput= True)

func()

The function fails to check that the first input (i.e., indices) has rank 2:

cc auto rank = c->Dim(c->input(0), 1);

Patches We have patched the issue in GitHub commit 701cfaca222a82afbeeb17496bd718baa65a67d2.

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 functions for SparseCountSparseOutput can trigger a read outside of bounds of heap allocated array. 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·08:10 PM
Data Sourced
via MITRE·08:10 PM
DescriptionSeverityWeakness
Data Sourced
via NVD·08:15 PM
RemedyDescriptionSeverityWeaknessAffected Software
Nov 10, 2021
Advisory Published
via GitHub·07:01 PM

Frequently Asked Questions

1

What is the severity of CVE-2021-41210?

CVE-2021-41210 has been rated as a moderate severity vulnerability due to potential heap buffer overflow risks.

2

How do I fix CVE-2021-41210?

To mitigate CVE-2021-41210, upgrade to TensorFlow version 2.4.4, 2.5.2, or 2.6.1.

3

What software is affected by CVE-2021-41210?

CVE-2021-41210 affects 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.

4

What are the potential impacts of CVE-2021-41210?

CVE-2021-41210 could lead to crashes or arbitrary code execution due to out-of-bounds read access in the heap.

5

Is CVE-2021-41210 specific to TensorFlow GPU or CPU versions?

CVE-2021-41210 affects both TensorFlow GPU and CPU versions.

Contact

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