Segfault in `tf.raw_ops.TensorListConcat`

Overview

Impact

If tf.raw_ops.TensorListConcat is given element_shape=[], it results segmentation fault which can be used to trigger a denial of service attack.

import tensorflow as tf
tf.raw_ops.TensorListConcat(
    input_handle=tf.data.experimental.to_variant(tf.data.Dataset.from_tensor_slices([1, 2, 3])),
    element_dtype=tf.dtypes.float32,
    element_shape=[]
)

Patches

We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde.

The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 Tong Liu, ShanghaiTech University

Affected packages

• tensorflow < 2.8.4
• tensorflow >= 2.9.0, < 2.9.3
• tensorflow >= 2.10.0, < 2.10.1
• tensorflow-cpu < 2.8.4
• tensorflow-gpu < 2.8.4
• tensorflow-cpu >= 2.9.0, < 2.9.3
• tensorflow-gpu >= 2.9.0, < 2.9.3
• tensorflow-cpu >= 2.10.0, < 2.10.1
• tensorflow-gpu >= 2.10.0, < 2.10.1

Remediation

Upgrade to a patched release:

• tensorflow 2.8.4
• tensorflow 2.9.3
• tensorflow 2.10.1
• tensorflow-cpu 2.8.4
• tensorflow-gpu 2.8.4
• tensorflow-cpu 2.9.3
• tensorflow-gpu 2.9.3
• tensorflow-cpu 2.10.1
• tensorflow-gpu 2.10.1