Lack of data validation In tensorflow-cpu
Description
CHECK_EQ fail via input in SparseMatrixNNZ
Impact
An input sparse_matrix that is not a matrix with a shape with rank 0 will trigger a CHECK fail in tf.raw_ops.SparseMatrixNNZ.
import tensorflow as tf tf.raw_ops.SparseMatrixNNZ(sparse_matrix=[])
Patches
We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693.
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
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Attribution
This vulnerability has been reported by Kang Hong Jin
Mitigation
Update Impact
Minimal update. May introduce new vulnerabilities or breaking changes.
Ecosystem | Component | Affected version | Patched versions |
|---|---|---|---|
 pypi | 2.8.4, 2.9.3, 2.10.1 | ||
pypi | 2.8.4, 2.9.3, 2.10.1 | ||
pypi | 2.8.4, 2.9.3, 2.10.1 |
Aliases
References