PT-2021-18339 · Google · Tensorflow
Published
2021-05-14
·
Updated
2024-03-06
·
CVE-2021-29588
CVSS v3.1
7.8
High
| Vector | AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H |
Name of the Vulnerable Software and Affected Versions
TensorFlow versions prior to 2.5.0
TensorFlow versions 2.4.2 and earlier
TensorFlow versions 2.3.3 and earlier
TensorFlow versions 2.2.3 and earlier
TensorFlow versions 2.1.4 and earlier
Description
The optimized implementation of the
TransposeConv TFLite operator is vulnerable to a division by zero error. An attacker can craft a model such that stride {h,w} values are 0. Code calling this function must validate these arguments.Recommendations
For TensorFlow versions prior to 2.5.0, update to version 2.5.0 or later.
For TensorFlow versions 2.4.2 and earlier, update to version 2.4.2 or later, or apply the patch from GitHub commit 801c1c6be5324219689c98e1bd3e0ca365ee834d.
For TensorFlow versions 2.3.3 and earlier, update to version 2.3.3 or later, or apply the patch from GitHub commit 801c1c6be5324219689c98e1bd3e0ca365ee834d.
For TensorFlow versions 2.2.3 and earlier, update to version 2.2.3 or later, or apply the patch from GitHub commit 801c1c6be5324219689c98e1bd3e0ca365ee834d.
For TensorFlow versions 2.1.4 and earlier, update to version 2.1.4 or later, or apply the patch from GitHub commit 801c1c6be5324219689c98e1bd3e0ca365ee834d.
As a temporary workaround, consider validating the
stride {h,w} values in the TransposeConv TFLite operator to prevent division by zero errors.Exploit
Fix
Divide By Zero
Found an issue in the description? Have something to add? Feel free to write us 👾
Weakness Enumeration
Related Identifiers
Affected Products
Tensorflow