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GHSA-558h-mq8x-7q9g: TensorFlow has Null Pointer Error in SparseSparseMaximum

Impact

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],
)

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

ghsa
#vulnerability#git

Impact

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], )

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

References

  • GHSA-558h-mq8x-7q9g
  • tensorflow/tensorflow@5e0ecfb

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CVE-2023-25665: NPE in SparseSparseMaximum

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when `SparseSparseMaximum` is given invalid sparse tensors as inputs, it can give a null pointer error. A fix is included in TensorFlow version 2.12 and version 2.11.1.