Segfault due to missing support for quantized types
Moderate severity
GitHub Reviewed
Published
May 17, 2022
in
tensorflow/tensorflow
•
Updated Jan 27, 2023
Description
Published by the National Vulnerability Database
May 20, 2022
Published to the GitHub Advisory Database
May 24, 2022
Reviewed
May 24, 2022
Last updated
Jan 27, 2023
Impact
There is a potential for segfault / denial of service in TensorFlow by calling
tf.compat.v1.*
ops which don't yet have support for quantized types (added after migration to TF 2.x):In these scenarios, since the kernel is missing, a
nullptr
value is passed toParseDimensionValue
for thepy_value
argument. Then, this is dereferenced, resulting in segfault.Patches
We have patched the issue in GitHub commit 237822b59fc504dda2c564787f5d3ad9c4aa62d9.
The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, 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 Hong Jin from Singapore Management University.
References