CVE-2021-29611: Incomplete validation in `SparseReshape`

Published May 14, 2021
·
Updated

Impact Incomplete validation in SparseReshape results in a denial of service based on a CHECK-failure.

python import tensorflow as tf

inputindices = tf.constant(41, shape=[1, 1], dtype=tf.int64) inputshape = tf.zeros([11], dtype=tf.int64) newshape = tf.zeros([1], dtype=tf.int64)

tf.rawops.SparseReshape(inputindices=inputindices, inputshape=inputshape, newshape=newshape) The implementation has no validation that the input arguments specify a valid sparse tensor.

Patches We have patched the issue in GitHub commit 1d04d7d93f4ed3854abf75d6b712d72c3f70d6b6.

The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are the only affected versions.

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 Ying Wang and Yakun Zhang of Baidu X-Team.

Other sources

TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in SparseReshape results in a denial of service based on a CHECK-failure. The implementation(https://github.com/tensorflow/tensorflow/blob/e87b51ce05c3eb172065a6ea5f48415854223285/tensorflow/core/kernels/sparsereshapeop.cc#L40) has no validation that the input arguments specify a valid sparse tensor. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are the only affected versions.

Affected Software

10 affected componentsFixes available
pip/tensorflow-gpu>=2.4.0<2.4.2
2.4.2
pip/tensorflow-gpu>=2.3.0<2.3.3
2.3.3
pip/tensorflow-cpu>=2.4.0<2.4.2
2.4.2
pip/tensorflow-cpu>=2.3.0<2.3.3
2.3.3
pip/tensorflow>=2.4.0<2.4.2
2.4.2
pip/tensorflow>=2.3.0<2.3.3
2.3.3
Google TensorFlow<2.1.4
Google TensorFlow>=2.2.0<2.2.3
Google TensorFlow>=2.3.0<2.3.3
Google TensorFlow>=2.4.0<2.4.2

Event History

May 14, 2021
CVE Published
via MITRE·07:20 PM
Data Sourced
via MITRE·07:20 PM
DescriptionSeverityWeakness
May 21, 2021
Advisory Published
via GitHub·02:28 PM

Frequently Asked Questions

1

What is the severity of CVE-2021-29611?

CVE-2021-29611 has a medium severity rating due to its potential to cause denial of service.

2

How do I fix CVE-2021-29611?

To remediate CVE-2021-29611, update to TensorFlow version 2.4.2 or 2.3.3 as specified in the advisory.

3

Which versions of TensorFlow are affected by CVE-2021-29611?

CVE-2021-29611 affects TensorFlow versions below 2.4.2, including 2.0.0 to 2.1.4, and between 2.2.0 and 2.3.3.

4

What type of vulnerability is CVE-2021-29611?

CVE-2021-29611 is characterized as an incomplete validation flaw that can lead to a denial of service.

5

Can CVE-2021-29611 be exploited remotely?

Yes, CVE-2021-29611 can be exploited remotely through malicious inputs to the SparseReshape function.

Contact

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