| Package | Affected versions | Patched versions |
|---|---|---|
| tensorflow | < 2.11.1 | 2.11.1 |
| tensorflow-cpu | < 2.11.1 | 2.11.1 |
| tensorflow-gpu | < 2.11.1 | 2.11.1 |
| tensorflow | < 2.12.0 | 2.12.0 |
When SparseSparseMaximum is given invalid sparse tensors as inputs, it can give an NPE.
import tensorflow as tf
tf.raw_ops.SparseSparseMaximum(
a_indices=[[1]],
a_values =[ 0.1 ],
a_shape = [2],
b_indices=[[]],
b_values =[2 ],
b_shape = [2],
)
We have patched the issue in GitHub commit 5e0ecfb42f5f65629fd7a4edd6c4afe7ff0feb04.
The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
This vulnerability has been reported by Yu Tian of Qihoo 360 AIVul Team
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