CVE-2021-37666 Explained : Impact and Mitigation

A vulnerability has been discovered in TensorFlow that allows an attacker to cause undefined behavior by binding a reference to a null pointer in

RaggedTensorToVariant

function.

Understanding CVE-2021-37666

This CVE involves a security issue in TensorFlow where improper validation of splits values results in a vulnerability that could be exploited by an attacker.

What is CVE-2021-37666?

In TensorFlow versions >= 2.3.4 and < 2.5.1, a flaw exists in the

RaggedTensorToVariant

function that can lead to arbitrary code execution due to binding a reference to a null pointer.

The Impact of CVE-2021-37666

The vulnerability has a CVSS base score of 7.8 (High severity) with confidentiality, integrity, and availability impacts all rated as High. The attack complexity is low, and the attack vector is local without requiring user interaction.

Technical Details of CVE-2021-37666

This section outlines the specific technical aspects of the vulnerability.

Vulnerability Description

The vulnerability stems from incomplete validation of splits values in the

RaggedTensorToVariant

function, allowing an attacker to trigger undefined behavior.

Affected Systems and Versions

TensorFlow versions >= 2.5.0, < 2.5.1
TensorFlow versions >= 2.4.0, < 2.4.3
TensorFlow versions < 2.3.4

Exploitation Mechanism

An attacker can exploit this vulnerability by binding a reference to a null pointer in the affected TensorFlow functions, leading to undefined behavior and potential code execution.

Mitigation and Prevention

To address CVE-2021-37666, take the following steps:

Immediate Steps to Take

Update TensorFlow to version 2.5.1, 2.4.3, or apply the security patch on 2.3.4 (when available).

Long-Term Security Practices

Regularly check for security advisories and patches from TensorFlow.
Follow secure coding practices to prevent similar vulnerabilities.

Patching and Updates

Patch the issue by updating to TensorFlow 2.5.1 or 2.4.3.