CVE-2021-37684
MEDIUMTensorFlow 2.3.0-2.3.3 - Divide By Zero in Pooling Implementation
Title source: llmDescription
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementations of pooling in TFLite are vulnerable to division by 0 errors as there are no checks for divisors not being 0. We have patched the issue in GitHub commit [dfa22b348b70bb89d6d6ec0ff53973bacb4f4695](https://github.com/tensorflow/tensorflow/commit/dfa22b348b70bb89d6d6ec0ff53973bacb4f4695). The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
References (1)
Core 1
Core References
Third Party Advisory x_refsource_confirm
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q7f7-544h-67h9
Scores
CVSS v3
5.5
EPSS
0.0014
EPSS Percentile
3.5%
Attack Vector
LOCAL
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Details
CWE
CWE-369
Status
published
Products (6)
google/tensorflow
2.5.0
google/tensorflow
2.6.0 rc0 (3 CPE variants)
google/tensorflow
2.3.0 - 2.3.4
pypi/tensorflow
0 - 2.3.4PyPI
pypi/tensorflow-cpu
0 - 2.3.4PyPI
pypi/tensorflow-gpu
0 - 2.3.4PyPI
Published
Aug 12, 2021
Tracked Since
Feb 18, 2026