Headline
GHSA-hq7g-wwwp-q46h: `CHECK` fail via inputs in `SparseFillEmptyRowsGrad`
Impact
If SparseFillEmptyRowsGrad is given empty inputs, TensorFlow will crash.
import tensorflow as tf
tf.raw_ops.SparseFillEmptyRowsGrad(
reverse_index_map=[], grad_values=[], name=None
)
Patches
We have patched the issue in GitHub commit af4a6a3c8b95022c351edae94560acc61253a1b8.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 Jiawei Liu, PhD student at University of Illinois, Urbana-Champaign.
Impact
If SparseFillEmptyRowsGrad is given empty inputs, TensorFlow will crash.
import tensorflow as tf tf.raw_ops.SparseFillEmptyRowsGrad( reverse_index_map=[], grad_values=[], name=None )
Patches
We have patched the issue in GitHub commit af4a6a3c8b95022c351edae94560acc61253a1b8.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 Jiawei Liu, PhD student at University of Illinois, Urbana-Champaign.
References
- GHSA-hq7g-wwwp-q46h
- https://nvd.nist.gov/vuln/detail/CVE-2022-41898
- tensorflow/tensorflow@af4a6a3
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sparse_fill_empty_rows_op_gpu.cu.cc
Related news
TensorFlow is an open source platform for machine learning. If `SparseFillEmptyRowsGrad` is given empty inputs, TensorFlow will crash. We have patched the issue in GitHub commit af4a6a3c8b95022c351edae94560acc61253a1b8. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.