PT-2021-18344 · Google · Tensorflow
Published
2021-05-14
·
Updated
2024-03-06
·
CVE-2021-29593
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 implementation of the
BatchToSpaceNd TFLite operator is vulnerable to a division by zero error. An attacker can craft a model such that one dimension of the block input is 0, resulting in a corresponding value of 0 in block shape. This can lead to a division by zero error in the output batch size = output batch size / block shape[dim] line.Recommendations
For versions prior to 2.5.0, update to TensorFlow 2.5.0 or later to resolve the issue.
For versions 2.4.2 and earlier, update to TensorFlow 2.4.2 or later to resolve the issue.
For versions 2.3.3 and earlier, update to TensorFlow 2.3.3 or later to resolve the issue.
For versions 2.2.3 and earlier, update to TensorFlow 2.2.3 or later to resolve the issue.
For versions 2.1.4 and earlier, update to TensorFlow 2.1.4 or later to resolve the issue.
As a temporary workaround, consider avoiding the use of the
BatchToSpaceNd TFLite operator until a patch is available.Exploit
Fix
Divide By Zero
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Weakness Enumeration
Related Identifiers
Affected Products
Tensorflow