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CVE-2022-35995 : What You Need to Know

Learn about CVE-2022-35995 impacting TensorFlow versions < 2.7.2, >= 2.8.0 & < 2.8.1, >= 2.9.0 & < 2.9.1. Mitigation steps and impact assessment included.

A detailed overview of the vulnerability in TensorFlow affecting versions prior to 2.7.2, between 2.8.0 and 2.8.1, and between 2.9.0 and 2.9.1.

Understanding CVE-2022-35995

This CVE describes a vulnerability in TensorFlow related to

AudioSummaryV2
that can lead to a denial of service attack.

What is CVE-2022-35995?

TensorFlow, an open-source machine learning platform, is affected by a flaw where a specific input to

AudioSummaryV2
can trigger a
CHECK
fail, creating a potential denial of service risk.

The Impact of CVE-2022-35995

The vulnerability is rated with a CVSS base score of 5.9 (Medium severity) due to its network-based attack complexity and high availability impact. While it does not impact confidentiality or integrity, immediate action is advised.

Technical Details of CVE-2022-35995

Below are the technical details associated with CVE-2022-35995:

Vulnerability Description

The vulnerability arises in TensorFlow when

AudioSummaryV2
processes an input
sample_rate
with multiple elements, leading to a
CHECK
fail that poses a risk of triggering a denial of service attack.

Affected Systems and Versions

The issue impacts TensorFlow versions below 2.7.2, versions within the range of 2.8.0 to 2.8.1, as well as versions ranging from 2.9.0 to 2.9.1.

Exploitation Mechanism

An attacker can exploit this vulnerability by providing a malicious input to the

AudioSummaryV2
component, resulting in a
CHECK
fail and potentially causing a denial of service situation.

Mitigation and Prevention

To address CVE-2022-35995, consider the following mitigation strategies:

Immediate Steps to Take

        Update TensorFlow to version 2.10.0 or apply the respective patches available to mitigate the vulnerability.

Long-Term Security Practices

        Regularly update TensorFlow to the latest versions to ensure security patches are applied promptly.

Patching and Updates

        Stay informed about security advisories from TensorFlow and promptly apply any patches released to address known vulnerabilities.

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