CVE-2021-29612 : Vulnerability Insights and Analysis

TensorFlow is an end-to-end open source platform for machine learning. This CVE addresses a heap buffer overflow vulnerability in the Eigen implementation of

tf.raw_ops.BandedTriangularSolve

within TensorFlow. The validation process within the implementation is ineffective, leading to potential exploitation by attackers.

Understanding CVE-2021-29612

This section delves deeper into the details of the vulnerability and its implications.

What is CVE-2021-29612?

The vulnerability allows an attacker to trigger a heap buffer overflow in the Eigen implementation of

tf.raw_ops.BandedTriangularSolve

due to ineffective input validation, posing a security risk.

The Impact of CVE-2021-29612

With a CVSS base score of 3.6 (Low), the impact of this vulnerability is considered low. However, it can still be exploited with high attack complexity and local attack vectors.

Technical Details of CVE-2021-29612

Explore the technical aspects of the vulnerability to understand how it can be mitigated and prevented.

Vulnerability Description

The issue arises from a lack of proper validation within the implementation, enabling attackers to trigger a buffer overflow.

Affected Systems and Versions

TensorFlow versions < 2.1.4
TensorFlow versions >= 2.2.0, < 2.2.3
TensorFlow versions >= 2.3.0, < 2.3.3
TensorFlow versions >= 2.4.0, < 2.4.2

Exploitation Mechanism

Attackers can exploit this vulnerability by manipulating input parameters to trigger the heap buffer overflow.

Mitigation and Prevention

Learn how to protect your systems from this vulnerability and prevent potential exploitation.

Immediate Steps to Take

Users are advised to update their TensorFlow installations to version 2.5.0, which includes a fix for the vulnerability. Additionally, patches have been cherrypicked for versions 2.4.2, 2.3.3, 2.2.3, and 2.1.4.

Long-Term Security Practices

Implement secure coding practices, regular security audits, and stay updated on security advisories to mitigate future risks.

Patching and Updates

Regularly apply security patches and updates provided by TensorFlow to address known vulnerabilities and enhance system security.