What is GHSA-4hvv-7x94-7vq8?

GHSA-4hvv-7x94-7vq8 is a security advisory published by GitHub Security Advisories with Low severity. Null dereference in Grappler's `TrySimplify`

Which CVE IDs does GHSA-4hvv-7x94-7vq8 cover?

GHSA-4hvv-7x94-7vq8 covers the following CVE IDs: CVE-2021-29616. Each CVE has its own detail page on EchelonGraph Pulse with the synthesized EG score.

What is the CVSS v3 score of GHSA-4hvv-7x94-7vq8?

GHSA-4hvv-7x94-7vq8 has a CVSS v3 base score of 2.5, published by GitHub Security Advisories.

Which products are affected by GHSA-4hvv-7x94-7vq8?

GHSA-4hvv-7x94-7vq8 affects 12 products, including: pip/tensorflow:\u003c 2.1.4; pip/tensorflow:\u003e= 2.2.0, \u003c 2.2.3; pip/tensorflow:\u003e= 2.3.0, \u003c 2.3.3; pip/tensorflow:\u003e= 2.4.0, \u003c 2.4.2; pip/tensorflow-cpu:\u003c 2.1.4; and others — see the full list on the advisory page.

GHSA-4hvv-7x94-7vq8LowCVSS 2.5

Null dereference in Grappler's `TrySimplify`

Vendor

GitHub Security Advisories

Published

May 21, 2021

Last Modified

November 13, 2024

🔗 CVE IDs covered (1)

CVE-2021-29616 →

📋 Description

Impact

The implementation of TrySimplify has undefined behavior due to dereferencing a null pointer in corner cases that result in optimizing a node with no inputs.

Patches

We have patched the issue in GitHub commit e6340f0665d53716ef3197ada88936c2a5f7a2d3.

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.

🎯 Affected products12

pip/tensorflow:< 2.1.4
pip/tensorflow:>= 2.2.0, < 2.2.3
pip/tensorflow:>= 2.3.0, < 2.3.3
pip/tensorflow:>= 2.4.0, < 2.4.2
pip/tensorflow-cpu:< 2.1.4
pip/tensorflow-cpu:>= 2.2.0, < 2.2.3
pip/tensorflow-cpu:>= 2.3.0, < 2.3.3
pip/tensorflow-cpu:>= 2.4.0, < 2.4.2
pip/tensorflow-gpu:< 2.1.4
pip/tensorflow-gpu:>= 2.2.0, < 2.2.3
pip/tensorflow-gpu:>= 2.3.0, < 2.3.3
pip/tensorflow-gpu:>= 2.4.0, < 2.4.2