CVE-2021-41226 Explained : Impact and Mitigation

TensorFlow is an open-source machine learning platform. The vulnerability in versions 2.4.4 and 2.5.0 to 2.5.2, and 2.6.0 to 2.6.1 allows a heap out-of-bounds access due to missing validation.

Understanding CVE-2021-41226

In this section, we will delve into the specifics of the vulnerability and its implications.

What is CVE-2021-41226?

TensorFlow has a vulnerability where the

SparseBinCount

implementation can lead to a heap out-of-bounds access. This issue arises from inadequate validation between the values in the

values

argument and the sparse output's shape.

The Impact of CVE-2021-41226

The vulnerability has the following impacts:

CVSS Base Score: 7.1
Attack Vector: Local
Attack Complexity: Low
Confidentiality Impact: High
Availability Impact: High
Privileges Required: Low
User Interaction: None
Scope: Unchanged
Vector String: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H

Technical Details of CVE-2021-41226

Let's explore the technical aspects related to this vulnerability.

Vulnerability Description

The issue lies in the

SparseBinCount

functionality of TensorFlow, allowing unauthorized memory access beyond bounds due to inadequate validation.

Affected Systems and Versions

The following TensorFlow versions are impacted:

TensorFlow >= 2.6.0, < 2.6.1
TensorFlow >= 2.5.0, < 2.5.2
TensorFlow < 2.4.4

Exploitation Mechanism

Attackers can exploit this vulnerability through a crafted input leading to unauthorized access beyond the allocated memory space.

Mitigation and Prevention

It's crucial to take immediate and long-term measures to address this security issue.

Immediate Steps to Take

Update TensorFlow to version 2.7.0, which includes a fix for this vulnerability.
Apply patches for TensorFlow 2.6.1, 2.5.2, and 2.4.4 to mitigate the risk.

Long-Term Security Practices

Regularly monitor and update software dependencies to address security flaws promptly.
Conduct security trainings to enhance awareness among developers and users.

Patching and Updates

Stay informed about security advisories from TensorFlow to apply timely updates and patches to safeguard against known vulnerabilities.