CVE-2022-41893 : Security Advisory and Response

TensorFlow vulnerability allows for denial of service attacks. Learn how to mitigate the impact and prevent exploitation.

Understanding CVE-2022-41893

This vulnerability in TensorFlow can lead to denial of service attacks due to a fail in

tf.raw_ops.TensorListResize

.

What is CVE-2022-41893?

If

tf.raw_ops.TensorListResize

receives a nonscalar value for input

size

, a

CHECK

fail occurs. The issue has been patched in a recent GitHub commit.

The Impact of CVE-2022-41893

The impact of this vulnerability is medium, with a CVSS base score of 4.8. It can be exploited to trigger denial of service attacks.

Technical Details of CVE-2022-41893

Find out more about the vulnerability in TensorFlow and the affected systems.

Vulnerability Description

The vulnerability arises in TensorFlow's

TensorListResize

function, allowing for a denial of service attack when a certain input value is provided.

Affected Systems and Versions

Versions of TensorFlow including 2.10.0 - 2.10.1, 2.9.0 - 2.9.3, and below 2.8.4 are affected by this vulnerability.

Exploitation Mechanism

An attacker can exploit this vulnerability by providing a nonscalar value for input

size

in

tf.raw_ops.TensorListResize

.

Mitigation and Prevention

Discover steps to mitigate the impact of CVE-2022-41893 and prevent exploitation.

Immediate Steps to Take

Ensure you update TensorFlow to versions that contain the patch, specifically versions 2.11 and above.

Long-Term Security Practices

Practice secure coding and regularly update TensorFlow to the latest versions to avoid known vulnerabilities.

Patching and Updates

Stay informed about security advisories and promptly apply patches to protect your systems.