Learn about the TensorFlow vulnerability with CVE-2022-23569 triggering denial of service via `CHECK`-fails. Explore the impact, technical details, and mitigation steps to protect your systems.
Tensorflow is an Open Source Machine Learning Framework that has been affected by a vulnerability triggering a denial of service via
CHECK
-fails. This CVE, similar to TFSA-2021-198, has been patched in multiple GitHub commits and will be addressed in TensorFlow 2.8.0. Further mitigation steps involve cherrypicking the fix for versions 2.7.1, 2.6.3, and 2.5.3.
Understanding CVE-2022-23569
This section provides insights into the nature and impact of the vulnerability.
What is CVE-2022-23569?
Tensorflow is prone to triggering denial of service due to
CHECK
-fails, leading to assertion failures. The issue has been addressed in recent GitHub commits and is set to be included in the upcoming TensorFlow 2.8.0 release.
The Impact of CVE-2022-23569
The vulnerability can have a medium severity impact, causing high availability impact when exploited by an attacker. While integrity and confidentiality are not affected, low-level privileges are required for an attack to take place.
Technical Details of CVE-2022-23569
Explore the specifics of the vulnerability in this section.
Vulnerability Description
Multiple operations within TensorFlow can be manipulated to trigger
CHECK
-fails, potentially resulting in denial of service and assertion failures.
Affected Systems and Versions
The vulnerability affects all systems running vulnerable versions of TensorFlow. The fix is intended for future TensorFlow releases and will be backported to supported versions.
Exploitation Mechanism
Attackers can leverage the vulnerability by manipulating certain operations within TensorFlow, triggering assertion failures and denial of service.
Mitigation and Prevention
Learn how to mitigate the risks posed by CVE-2022-23569 in this section.
Immediate Steps to Take
Users are advised to apply the available patches and updates as soon as they are released by the TensorFlow team to prevent exploitation of the vulnerability.
Long-Term Security Practices
Incorporating secure coding practices, regular security audits, and staying updated with security advisories can help in maintaining a secure environment.
Patching and Updates
Ensure to install the upcoming TensorFlow 2.8.0 release and backported fixes for versions 2.7.1, 2.6.3, and 2.5.3 to secure your systems against CVE-2022-23569.