PT-2022-23096 · Google · Tensorflow
Kang Hong Jin
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Published
2022-09-16
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Updated
2024-03-06
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CVE-2022-35998
CVSS v3.1
5.9
Medium
| Vector | AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H |
Name of the Vulnerable Software and Affected Versions
TensorFlow versions prior to 2.10.0
TensorFlow versions 2.9.1 and earlier
TensorFlow versions 2.8.1 and earlier
TensorFlow versions 2.7.2 and earlier
Description
The issue arises when
EmptyTensorList receives an input element shape with more than one dimension, resulting in a CHECK fail that can be used to trigger a denial of service attack. This can be exploited by providing a specially crafted input to the tf.raw ops.EmptyTensorList function, such as element shape=tf.ones(dtype=tf.int32, shape=[1, 0]).Recommendations
For versions prior to 2.10.0, update to TensorFlow 2.10.0 or later.
For versions 2.9.1 and earlier, update to TensorFlow 2.9.1 or later.
For versions 2.8.1 and earlier, update to TensorFlow 2.8.1 or later.
For versions 2.7.2 and earlier, update to TensorFlow 2.7.2 or later.
As a temporary workaround, consider avoiding the use of
tf.raw ops.EmptyTensorList with element shape having more than one dimension until a patch is available.Exploit
Fix
Assertion Failure
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Weakness Enumeration
Related Identifiers
Affected Products
Tensorflow