Learn about CVE-2022-29207 impacting TensorFlow versions < 2.6.4, >= 2.7.0rc0, < 2.7.2, >= 2.8.0rc0, < 2.8.1, >= 2.9.0rc0, < 2.9.0. Understand the impact, technical details, and mitigation steps.
TensorFlow, an open-source platform for machine learning, is affected by a vulnerability where multiple operations misbehave in eager mode due to invalid resource handles. This could lead to undefined behavior in versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4. Read on to understand the impact, technical details, and mitigation strategies.
Understanding CVE-2022-29207
This section delves into the details of the vulnerability affecting TensorFlow.
What is CVE-2022-29207?
TensorFlow operations exhibit incorrect behavior when supplied with invalid resource handles, leading to undefined behavior in TensorFlow versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4.
The Impact of CVE-2022-29207
The vulnerability has a CVSS base score of 5.5, indicating a medium severity issue. It can be exploited locally with low privileges required, resulting in high availability impact.
Technical Details of CVE-2022-29207
Explore the technical aspects related to this TensorFlow vulnerability.
Vulnerability Description
In TensorFlow versions before 2.9.0, 2.8.1, 2.7.2, and 2.6.4, misbehaving operations in eager mode due to invalid resource handles can lead to undefined behavior.
Affected Systems and Versions
Exploitation Mechanism
Attackers can leverage this vulnerability locally with low privileges, affecting the availability of the TensorFlow platform.
Mitigation and Prevention
Learn how to address and prevent the CVE-2022-29207 vulnerability.
Immediate Steps to Take
Users should update their TensorFlow installations to versions 2.9.0, 2.8.1, 2.7.2, or 2.6.4 that contain a patch for this issue.
Long-Term Security Practices
Maintain up-to-date dependencies and regularly check for security advisories from TensorFlow.
Patching and Updates
Stay informed about security updates and apply patches promptly to mitigate the risk associated with this vulnerability.