CVE-2021-41210 : What You Need to Know

TensorFlow is an open-source platform for machine learning. This CVE involves a heap out-of-bounds read vulnerability in the

SparseCountSparseOutput

function, affecting specific versions of TensorFlow.

Understanding CVE-2021-41210

The vulnerability allows shape inference functions to trigger reads outside of heap allocated array boundaries, leading to potential security risks.

What is CVE-2021-41210?

The CVE-2021-41210 pertains to a heap out-of-bounds read vulnerability in TensorFlow's

SparseCountSparseOutput

function.

The Impact of CVE-2021-41210

The severity rating is high (CVSS Base Score: 7.1) with confidentiality impact and high availability impact, potentially leading to unauthorized access to sensitive data.

Technical Details of CVE-2021-41210

This section provides in-depth technical information about the CVE.

Vulnerability Description

The shape inference functions for

SparseCountSparseOutput

can trigger reads outside of heap allocated array bounds, posing a security risk.

Affected Systems and Versions

The vulnerability affects specific versions of TensorFlow:

2.6.0 to 2.6.1
2.5.0 to 2.5.2
Versions below 2.4.4

Exploitation Mechanism

By exploiting this vulnerability, attackers can potentially access confidential data and impact the availability of the affected systems.

Mitigation and Prevention

Here's how to address the CVE-2021-41210 vulnerability:

Immediate Steps to Take

Update TensorFlow to version 2.7.0 or apply the patch provided by the TensorFlow project.
Monitor security advisories for any further updates.

Long-Term Security Practices

Regularly update software to the latest versions to ensure security patches are applied promptly.
Implement network segmentation and access controls to limit potential attack surfaces.

Patching and Updates

Ensure timely installation of security updates and patches provided by the TensorFlow project to mitigate the vulnerability.