CVE-2021-41222 : Vulnerability Insights and Analysis

TensorFlow is an open-source machine learning platform. The vulnerability in affected versions triggers a segfault in the

SplitV

implementation due to negative arguments. This CVE has a CVSS base score of 5.5.

Understanding CVE-2021-41222

TensorFlow versions >= 2.4.4 and < 2.6.1 are impacted by a vulnerability that allows attackers to cause a segfault by providing negative arguments to the

SplitV

function.

What is CVE-2021-41222?

The flaw arises when

size_splits

contains multiple values, including at least one negative value. The issue has a medium severity base score of 5.5.

The Impact of CVE-2021-41222

Base Score: 5.5 (Medium)
Attack Vector: Local
Attack Complexity: Low
Privileges Required: Low
Availability Impact: High
Confidentiality Impact: None
Integrity Impact: None
User Interaction: None
Scope: Unchanged

Technical Details of CVE-2021-41222

The following technical details describe the vulnerability in TensorFlow:

Vulnerability Description

The flaw occurs in the

SplitV

operation due to incorrect handling of negative arguments.

Affected Systems and Versions

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

Exploitation Mechanism

Attackers can exploit this vulnerability by supplying negative arguments to the

SplitV

function in TensorFlow.

Mitigation and Prevention

To address CVE-2021-41222, consider the following steps:

Immediate Steps to Take

Update TensorFlow to version 2.7.0 when available.
Apply provided patches for TensorFlow versions 2.6.1, 2.5.2, and 2.4.4.

Long-Term Security Practices

Regularly update TensorFlow to the latest versions to mitigate known vulnerabilities.

Patching and Updates

Keep TensorFlow installations up to date with the latest security patches and bug fixes.