PT-2022-15082 · Google · Tensorflow
Wang Xuan
·
Published
2022-02-03
·
Updated
2024-03-06
·
CVE-2022-21741
CVSS v4.0
7.1
High
| Vector | AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N |
Name of the Vulnerable Software and Affected Versions
TensorFlow versions prior to 2.8.0
TensorFlow versions 2.7.1, 2.6.3, and 2.5.3 are also affected
Description
An attacker can craft a TFLite model to trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution, which are user-controlled, are used in a division operation to determine the padding size before applying the convolution. There is no check to ensure the divisor is strictly positive.
Recommendations
For versions prior to 2.8.0, update to TensorFlow 2.8.0 or later.
For version 2.7.1, update to a version that includes the cherrypicked commit.
For version 2.6.3, update to a version that includes the cherrypicked commit.
For version 2.5.3, update to a version that includes the cherrypicked commit.
As a temporary workaround, consider restricting the use of user-controlled convolution parameters to minimize the risk of exploitation.
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