CVE-2021-37638 : Security Advisory and Response

TensorFlow is an open-source platform for machine learning. The vulnerability in the

RaggedTensorToTensor

API allows malicious actors to cause a null pointer dereference by sending an invalid argument. This leads to undefined behavior and a high impact on availability and integrity. The issue has been patched in TensorFlow 2.6.0, with backports to versions 2.5.1, 2.4.3, and 2.3.4.

Understanding CVE-2021-37638

This section provides insights into the nature of the vulnerability and its effects.

What is CVE-2021-37638?

CVE-2021-37638 is a vulnerability in TensorFlow's

RaggedTensorToTensor

API that results in a null pointer dereference, potentially leading to undefined behavior and a high impact on system availability and integrity.

The Impact of CVE-2021-37638

The vulnerability allows for a malicious actor to exploit the

RaggedTensorToTensor

API with an invalid argument, triggering a null pointer dereference. This can result in service downtime and potential data integrity issues.

Technical Details of CVE-2021-37638

This section delves into the technical aspects of the CVE, including how systems are affected and how the exploit can be carried out.

Vulnerability Description

The vulnerability arises from inadequate argument validation in the

RaggedTensorToTensor

API, allowing an attacker to trigger a null pointer dereference.

Affected Systems and Versions

TensorFlow versions >= 2.3.4 and < 2.5.1 are affected by this vulnerability, including versions 2.4.0 to 2.4.3. Users of these versions should take immediate action.

Exploitation Mechanism

By sending a specific invalid argument for

row_partition_types

, an attacker can exploit the vulnerability, leading to a null pointer dereference.

Mitigation and Prevention

This section provides guidance on how to mitigate the risks associated with CVE-2021-37638 and prevent potential exploitation.

Immediate Steps to Take

Users are advised to update TensorFlow to version 2.6.0 or apply the relevant patches for versions 2.5.1, 2.4.3, and 2.3.4 to mitigate the vulnerability.

Long-Term Security Practices

Implement proper input validation mechanisms and regularly update software to address known vulnerabilities and enhance overall security posture.

Patching and Updates

Stay informed about security advisories from TensorFlow and promptly apply security patches to safeguard against potential exploits.