Description

TensorFlow vulnerable to CHECK fail in tf.linalg.matrix_rank

Impact

When tf.linalg.matrix_rank receives an empty input a, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack.

import tensorflow as tf

a = tf.constant([], shape=[0, 1, 1], dtype=tf.float32)
tf.linalg.matrix_rank(a=a)

Patches

We have patched the issue in GitHub commit c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a.

The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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 Kang Hong Jin.

Mitigation

Aliases

References