TensorFlow vulnerable to `CHECK` failure in tf.reshape via overflows

Impact

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).

Patches

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.

For more information

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Attribution

This vulnerability has been reported by Kang Hong Jin from Singapore Management University.