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Security Advisories: GSA_kwCzR0hTQS1xaHc0LXd3cjctZ2pjNc4AAu2c
TensorFlow vulnerable to `CHECK` fail in `EmptyTensorList`
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.
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This vulnerability has been reported by Kang Hong Jin.Permalink: https://github.com/advisories/GHSA-qhw4-wwr7-gjc5
Source: GitHub Advisory Database
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
Fixed in: 2.9.1, 2.8.1, 2.7.2