CVE-2022-29193 : Security Advisory and Response

This article provides detailed information about CVE-2022-29193, a vulnerability in TensorFlow that could lead to a denial of service attack.

Understanding CVE-2022-29193

CVE-2022-29193 is a vulnerability in TensorFlow related to the

TensorSummaryV2

implementation.

What is CVE-2022-29193?

TensorFlow, an open-source machine learning platform, is affected by a vulnerability in versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4. The flaw lies in the inadequate validation of input arguments in

tf.raw_ops.TensorSummaryV2

, allowing malicious actors to trigger a denial of service attack.

The Impact of CVE-2022-29193

The exploitation of this vulnerability could lead to a

CHECK

-failure, enabling attackers to disrupt the service availability of impacted TensorFlow instances.

Technical Details of CVE-2022-29193

The following technical details outline the vulnerability.

Vulnerability Description

The vulnerability arises from the incomplete validation of input arguments in

TensorSummaryV2

within TensorFlow versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4.

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

Attackers can exploit the flaw by leveraging the lack of input argument validation in

TensorSummaryV2

to trigger a denial of service attack.

Mitigation and Prevention

Below are some recommended steps to mitigate and prevent exploitation of CVE-2022-29193.

Immediate Steps to Take

Users and administrators are advised to update to TensorFlow versions 2.9.0, 2.8.1, 2.7.2, or 2.6.4 which contain a patch for this vulnerability.

Long-Term Security Practices

Implement proper input validation mechanisms and regularly update TensorFlow to the latest secure versions to prevent such vulnerabilities.

Patching and Updates

Ensure timely installation of security patches provided by TensorFlow to address known vulnerabilities and enhance system security.