PT-2022-26122 · Google · Tensorflow
Tong Liu
·
Published
2022-11-18
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Updated
2024-03-06
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CVE-2022-41891
CVSS v3.1
4.8
Medium
| Vector | AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H |
Name of the Vulnerable Software and Affected Versions
TensorFlow versions prior to 2.11
TensorFlow versions 2.10.1 and earlier
TensorFlow versions 2.9.3 and earlier
TensorFlow versions 2.8.4 and earlier
Description
The issue results in a segmentation fault when
tf.raw ops.TensorListConcat is given element shape=[], which can be used to trigger a denial of service attack. This can be achieved by providing an empty element shape to the tf.raw ops.TensorListConcat function, as shown in the example code. The estimated number of potentially affected devices is not specified.Recommendations
For versions prior to 2.11, update to TensorFlow 2.11 or later.
For versions 2.10.1 and earlier, update to TensorFlow 2.10.1 or later, or apply the patch from GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde.
For versions 2.9.3 and earlier, update to TensorFlow 2.9.3 or later, or apply the patch from GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde.
For versions 2.8.4 and earlier, update to TensorFlow 2.8.4 or later, or apply the patch from GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde.
As a temporary workaround, consider avoiding the use of
tf.raw ops.TensorListConcat with an empty element shape until the issue is resolved.Exploit
Fix
RCE
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Weakness Enumeration
Related Identifiers
Affected Products
Tensorflow