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Tfsa 2023 006

tensorflow/security/advisory/tfsa-2023-006.md

2.21.0967 B
Original Source

TFSA-2023-006: NPE in SparseSparseMaximum

CVE Number

CVE-2023-25665

Impact

When SparseSparseMaximum is given invalid sparse tensors as inputs, it can give an NPE.

python
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],
)

Patches

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.

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 Yu Tian of Qihoo 360 AIVul Team