The implementation of tf.reshape op in TensorFlow is vulnerable to a denial of service via CHECK-failure (assertion failure) caused by overflowing the number of elements in a tensor:

import tensorflow as tf

tf.reshape(tensor=[[1]],shape=tf.constant([0 for i in range(255)], dtype=tf.int64))

This is another instance of TFSA-2021-198 (https://github.com/advisories/GHSA-prcg-wp5q-rv7p).

We have patched the issue in GitHub commit 61f0f9b94df8c0411f0ad0ecc2fec2d3f3c33555.

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.

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 Kang Hong Jin from Singapore Management University.