What is GHSA-q7f7-544h-67h9?

GHSA-q7f7-544h-67h9 is a security advisory published by GitHub Security Advisories with Medium severity. FPE in TFLite pooling operations

Which CVE IDs does GHSA-q7f7-544h-67h9 cover?

GHSA-q7f7-544h-67h9 covers the following CVE IDs: CVE-2021-37684. Each CVE has its own detail page on EchelonGraph Pulse with the synthesized EG score.

What is the CVSS v3 score of GHSA-q7f7-544h-67h9?

GHSA-q7f7-544h-67h9 has a CVSS v3 base score of 5.5, published by GitHub Security Advisories.

Which products are affected by GHSA-q7f7-544h-67h9?

GHSA-q7f7-544h-67h9 affects 9 products, including: pip/tensorflow:\u003c 2.3.4; pip/tensorflow:\u003e= 2.4.0, \u003c 2.4.3; pip/tensorflow:= 2.5.0; pip/tensorflow-cpu:\u003c 2.3.4; pip/tensorflow-cpu:\u003e= 2.4.0, \u003c 2.4.3; and others — see the full list on the advisory page.

GHSA-q7f7-544h-67h9MediumCVSS 5.5

FPE in TFLite pooling operations

Vendor

GitHub Security Advisories

Published

August 25, 2021

Last Modified

November 13, 2024

🔗 CVE IDs covered (1)

CVE-2021-37684 →

📋 Description

Impact

The implementations of pooling in TFLite are vulnerable to division by 0 errors as there are no checks for divisors not being 0.

Patches

We have patched the issue in GitHub 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.

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.

🎯 Affected products9

pip/tensorflow:< 2.3.4
pip/tensorflow:>= 2.4.0, < 2.4.3
pip/tensorflow:= 2.5.0
pip/tensorflow-cpu:< 2.3.4
pip/tensorflow-cpu:>= 2.4.0, < 2.4.3
pip/tensorflow-cpu:= 2.5.0
pip/tensorflow-gpu:< 2.3.4
pip/tensorflow-gpu:>= 2.4.0, < 2.4.3
pip/tensorflow-gpu:= 2.5.0