CVE-2022-29191 Explained : Impact and Mitigation

TensorFlow prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 is affected by a vulnerability in the implementation of

tf.raw_ops.GetSessionTensor

. This flaw allows an attacker to trigger a denial of service attack by exploiting a

CHECK

-failure.

Understanding CVE-2022-29191

This CVE ID refers to a vulnerability in TensorFlow related to improper input validation, leading to a denial of service risk.

What is CVE-2022-29191?

TensorFlow, an open-source machine learning platform, is prone to a denial of service vulnerability due to inadequate input validation in the

tf.raw_ops.GetSessionTensor

implementation.

The Impact of CVE-2022-29191

The vulnerability allows an attacker to exploit a

CHECK

-failure, resulting in a denial of service attack. The affected versions have now been patched to address this issue.

Technical Details of CVE-2022-29191

This section covers the specifics of the vulnerability.

Vulnerability Description

The flaw in TensorFlow versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4 allows unvalidated input arguments in

tf.raw_ops.GetSessionTensor

, leading to a

CHECK

-failure.

Affected Systems and Versions

TensorFlow versions < 2.6.4
TensorFlow versions >= 2.7.0rc0, < 2.7.2
TensorFlow versions >= 2.8.0rc0, < 2.8.1
TensorFlow versions >= 2.9.0rc0, < 2.9.0

Exploitation Mechanism

An attacker can exploit the vulnerability by utilizing the

CHECK

-failure in input validation, potentially resulting in a denial of service attack.

Mitigation and Prevention

Preventive measures and solutions to address the CVE are discussed here.

Immediate Steps to Take

Users are advised to update TensorFlow to patched versions 2.9.0, 2.8.1, 2.7.2, or 2.6.4 to mitigate the risk of a denial of service attack.

Long-Term Security Practices

Maintaining up-to-date software versions and regularly applying security updates can help prevent vulnerabilities like CVE-2022-29191.

Patching and Updates

Refer to the official TensorFlow release notes and security advisories on GitHub for detailed patch information and updates.