Critical Vulnerability Patched in TensorFlow Machine Learning Framework

CVSScvssV3_1: 9.8

TensorFlow, an open source machine learning framework, was found to have a vulnerability that could allow attackers to access memory outside of the user’s control. With a CVSS score of 9.8, this is considered a very critical issue.

Attackers could potentially exploit how TensorFlow handles memory to cause a crash or even execute code remotely. By manipulating inputs in a way not intended, an attacker may be able to read or modify data they shouldn’t have access to.

TensorFlow has addressed this vulnerability in version 2.12.0 of their software. They have also backported the fix to the 2.11.1 release to help protect users on older versions. It is recommended to upgrade to one of these patched releases as soon as possible to prevent any security issues.

Machine learning is used widely today, so it is important for frameworks like TensorFlow to have strong security. By keeping software updated with the latest fixes, users can help protect themselves and the systems that rely on this open source technology. Be sure to apply any available patches or upgrades for libraries and applications you depend on.