PT-2022-23086 · 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-2022-35988
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 occurs when the
tf.linalg.matrix rank function receives an empty input a, causing the GPU kernel to give a CHECK fail that can be used to trigger a denial of service attack. This can be achieved by passing an empty tensor to the tf.linalg.matrix rank function, such as tf.constant([], shape=[0, 1, 1], dtype=tf.float32).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 the
tf.linalg.matrix rank function with empty inputs until a patch is available.Exploit
Fix
Assertion Failure
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Weakness Enumeration
Related Identifiers
Affected Products
Tensorflow