Division by zero in optimized pooling implementations in TFLite

HIGH 7.8CVE-2021-29586 · BIT-tensorflow-2021-29586 · GHSA-26j7-6w8w-7922 · Published 14/05/2021 · updated 17/06/2026

In short

CVE-2021-29586 is a HIGH (CVSS 7.8) vulnerability affecting tensorflow, tensorflow-cpu, tensorflow-gpu.
Chance of exploitation in the next 30 days (EPSS): 0.20%, higher than 10.1% of all vulnerabilities.
Fix: update to 2.2.3, 2.3.3, 2.4.2, 2.1.4 or later.

Package	Affected versions	Patched versions
tensorflow PyPI	`≥ 2.2.0, < 2.2.3≥ 2.3.0, < 2.3.3≥ 2.4.0, < 2.4.2< 2.1.4`	`2.2.32.3.32.4.22.1.4`
tensorflow-cpu PyPI	`≥ 2.2.0, < 2.2.3≥ 2.3.0, < 2.3.3≥ 2.4.0, < 2.4.2< 2.1.4`	`2.2.32.3.32.4.22.1.4`
tensorflow-gpu PyPI	`≥ 2.2.0, < 2.2.3≥ 2.3.0, < 2.3.3≥ 2.4.0, < 2.4.2< 2.1.4`	`2.2.32.3.32.4.22.1.4`
tensorflow google	`≥ 2.2.0, < 2.2.3≥ 2.3.0, < 2.3.3≥ 2.4.0, < 2.4.2< 2.1.4`	`2.2.32.3.32.4.22.1.4`

Description

Impact

Optimized pooling implementations in TFLite fail to check that the stride arguments are not 0 before calling ComputePaddingHeightWidth.

Since users can craft special models which will have params->stride_{height,width} be zero, this will result in a division by zero.

Patches

We have patched the issue in GitHub commit 5f7975d09eac0f10ed8a17dbb6f5964977725adc.

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.

NVD description

TensorFlow is an end-to-end open source platform for machine learning. Optimized pooling implementations in TFLite fail to check that the stride arguments are not 0 before calling `ComputePaddingHeightWidth`(https://github.com/tensorflow/tensorflow/blob/3f24ccd932546416ec906a02ddd183b48a1d2c83/tensorflow/lite/kernels/pooling.cc#L90). Since users can craft special models which will have `params->stride_{height,width}` be zero, this will result in a division by zero. 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.