CVE-2021-41202 : Vulnerability Insights and Analysis

TensorFlow is an open source platform for machine learning. This CVE pertains to an issue in certain versions, causing overflows during the size calculation within the

tf.range

kernel due to implicit type conversions. Learn about the impact, technical details, and mitigation steps for CVE-2021-41202.

Understanding CVE-2021-41202

In this section, we will delve into the details of the TensorFlow vulnerability.

What is CVE-2021-41202?

TensorFlow versions >= 2.4.4 and < 2.6.1 are impacted by a vulnerability that leads to overflows in the

tf.range

kernel due to implicit type conversions.

The Impact of CVE-2021-41202

The CVSSv3.1 base score for this vulnerability is 5.5, indicating a medium severity level. The vulnerability has a low attack complexity and requires local access, with a high impact on availability.

Technical Details of CVE-2021-41202

Let's explore the technical aspects of the vulnerability.

Vulnerability Description

The issue arises within the

tf.range

kernel during output size calculation.
Implicit conversion in a conditional statement leads to overflows.

Affected Systems and Versions

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

Exploitation Mechanism

The conditional statement in the kernel results in type conversions that cause overflows, impacting the integrity of the output.

Mitigation and Prevention

Discover the steps to mitigate and prevent the CVE-2021-41202 vulnerability.

Immediate Steps to Take

Upgrade to TensorFlow 2.7.0 or apply fixes in TensorFlow 2.6.1, 2.5.2, and 2.4.4.
Monitor official TensorFlow channels for updates and patches.

Long-Term Security Practices

Regularly update TensorFlow to the latest versions to avoid known vulnerabilities.
Conduct security audits and assessments to identify and address potential risks.

Patching and Updates

Apply patches provided by TensorFlow promptly to secure the system.