Division by zero in TFLite's implementation of `DepthwiseConv`
Package
Affected versions
< 2.1.4
>= 2.2.0, < 2.2.3
>= 2.3.0, < 2.3.3
>= 2.4.0, < 2.4.2
Patched versions
2.1.4
2.2.3
2.3.3
2.4.2
< 2.1.4
>= 2.2.0, < 2.2.3
>= 2.3.0, < 2.3.3
>= 2.4.0, < 2.4.2
2.1.4
2.2.3
2.3.3
2.4.2
< 2.1.4
>= 2.2.0, < 2.2.3
>= 2.3.0, < 2.3.3
>= 2.4.0, < 2.4.2
2.1.4
2.2.3
2.3.3
2.4.2
Description
Published by the National Vulnerability Database
May 14, 2021
Reviewed
May 17, 2021
Published to the GitHub Advisory Database
May 21, 2021
Last updated
Nov 13, 2024
Impact
The implementation of the
DepthwiseConv
TFLite operator is vulnerable to a division by zero error:An attacker can craft a model such that
input
's fourth dimension would be 0.Patches
We have patched the issue in GitHub commit cbda3c6b2dbbd3fbdc482ff8c0170a78ec2e97d0.
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by members of the Aivul Team from Qihoo 360.
References