PT-2022-23111 · Google · Tensorflow
Pak-Laura
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Published
2022-09-16
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Updated
2024-03-06
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CVE-2022-36011
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
mlir::tfg::ConvertGenericFunctionToFunctionDef function is given empty function attributes, resulting in a null dereference. This happens when the namedAttr.first is empty, causing the program to crash. The estimated number of potentially affected devices worldwide is not available.Recommendations
For TensorFlow versions prior to 2.10.0, update to version 2.10.0 or later.
For TensorFlow versions 2.9.1 and earlier, update to version 2.9.1 or later, or apply the patch from GitHub commit 1cf45b831eeb0cab8655c9c7c5d06ec6f45fc41b.
For TensorFlow versions 2.8.1 and earlier, update to version 2.8.1 or later, or apply the patch from GitHub commit 1cf45b831eeb0cab8655c9c7c5d06ec6f45fc41b.
For TensorFlow versions 2.7.2 and earlier, update to version 2.7.2 or later, or apply the patch from GitHub commit 1cf45b831eeb0cab8655c9c7c5d06ec6f45fc41b.
As a temporary workaround, consider adding a check to ensure that
namedAttr.first is not empty before processing it.Exploit
Fix
NULL Pointer Dereference
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Weakness Enumeration
Related Identifiers
Affected Products
Tensorflow