CVE-2021-41204 : Exploit Details and Defense Strategies

TensorFlow is an open-source platform for machine learning. In affected versions, a segfault occurs when constant folding deep copies a resource tensor, leading to a critical vulnerability.

Understanding CVE-2021-41204

In this section, we will delve into the details of the CVE-2021-41204 vulnerability.

What is CVE-2021-41204?

CVE-2021-41204 is a vulnerability in TensorFlow affecting certain versions. During the Grappler optimizer phase, an error in constant folding causes a segfault while copying a resource tensor, a tensor that should not change.

The Impact of CVE-2021-41204

The impact of this vulnerability is rated as MEDIUM with a CVSS base score of 5.5. The availability impact is HIGH, potentially leading to denial of service if exploited.

Technical Details of CVE-2021-41204

Let's explore the technical aspects of CVE-2021-41204.

Vulnerability Description

The vulnerability arises during the TensorFlow Grappler optimizer phase, where constant folding attempts to deep copy a resource tensor, resulting in a segfault due to tensor immutability.

Affected Systems and Versions

TensorFlow versions >= 2.6.0 and < 2.6.1
TensorFlow versions >= 2.5.0 and < 2.5.1
TensorFlow versions < 2.4.4

Exploitation Mechanism

Attack Complexity: Low
Attack Vector: Local
Privileges Required: Low
User Interaction: None
Scope: Unchanged

Mitigation and Prevention

In this section, we will explore strategies to mitigate and prevent CVE-2021-41204.

Immediate Steps to Take

Update TensorFlow to version 2.7.0, which includes a fix for this vulnerability.
If using affected versions (2.6.0, 2.5.0, 2.4.4), apply the specific patches mentioned.

Long-Term Security Practices

Regularly update TensorFlow to the latest versions to mitigate known vulnerabilities.
Monitor TensorFlow security advisories for any future vulnerabilities.

Patching and Updates

Stay proactive in applying patches and updates released by TensorFlow to address security vulnerabilities.