CVE-2021-37648 : Security Advisory and Response

This article provides an overview of CVE-2021-37648, a vulnerability in TensorFlow related to the incorrect validation of

SaveV2

inputs, impacting versions 2.3.4, 2.4.0 - 2.4.3, and 2.5.0 - 2.5.1.

Understanding CVE-2021-37648

This section delves into the details of the vulnerability affecting TensorFlow.

What is CVE-2021-37648?

TensorFlow, an open-source machine learning platform, suffers from a flaw where the validation of

tf.raw_ops.SaveV2

inputs is inadequately performed. This allows an attacker to induce a null pointer dereference.

The Impact of CVE-2021-37648

The impact of this vulnerability is rated as high severity, with a CVSS base score of 7.8. It can lead to availability, confidentiality, and integrity impact.

Technical Details of CVE-2021-37648

Thorough technical insights into the vulnerability in TensorFlow.

Vulnerability Description

The vulnerability arises from the improper validation of inputs for the

SaveV2

operation, potentially resulting in a null pointer dereference.

Affected Systems and Versions

TensorFlow versions >= 2.5.0 and < 2.5.1, >= 2.4.0 and < 2.4.3, and < 2.3.4 are impacted by this vulnerability.

Exploitation Mechanism

By triggering a null pointer dereference through inadequate validation of

SaveV2

inputs, an attacker can exploit the vulnerability.

Mitigation and Prevention

Effective measures to mitigate and prevent the exploitation of CVE-2021-37648.

Immediate Steps to Take

Update to TensorFlow 2.6.0 or apply the patched commit (9728c60e136912a12d99ca56e106b7cce7af5986) for versions 2.5.1, 2.4.3, and 2.3.4.

Long-Term Security Practices

Ensure timely updates and patches are applied to maintain a secure TensorFlow environment.

Patching and Updates

Stay informed about security advisories and promptly apply patches and updates to address vulnerabilities.