`CHECK`-failures in Tensorflow

Overview

Impact

The implementation of MapStage is vulnerable a CHECK-fail if the key tensor is not a scalar:

import tensorflow as tf
import numpy as np

tf.raw_ops.MapStage(
    key = tf.constant(value=[4], shape= (1,2), dtype=tf.int64),
    indices = np.array([[6]]),
    values = np.array([-60]),
    dtypes = [tf.int64], capacity=0, memory_limit=0,
    container='', shared_name='', name=None
)   

Patches

We have patched the issue in GitHub commit f57315566d7094f322b784947093406c2aea0d7d.

The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 Faysal Hossain Shezan from University of Virginia. ~

Affected packages

• tensorflow < 2.5.3
• tensorflow >= 2.6.0, < 2.6.3
• tensorflow >= 2.7.0, < 2.7.1
• tensorflow-cpu < 2.5.3
• tensorflow-cpu >= 2.6.0, < 2.6.3
• tensorflow-cpu >= 2.7.0, < 2.7.1
• tensorflow-gpu < 2.5.3
• tensorflow-gpu >= 2.6.0, < 2.6.3
• tensorflow-gpu >= 2.7.0, < 2.7.1

Remediation

Upgrade to a patched release:

• tensorflow 2.5.3
• tensorflow 2.6.3
• tensorflow 2.7.1
• tensorflow-cpu 2.5.3
• tensorflow-cpu 2.6.3
• tensorflow-cpu 2.7.1
• tensorflow-gpu 2.5.3
• tensorflow-gpu 2.6.3
• tensorflow-gpu 2.7.1