Learn about CVE-2021-41209 involving a division by 0 vulnerability in TensorFlow versions 2.4.4 and above. Discover the impact, affected systems, and mitigation steps.
TensorFlow is an open-source platform for machine learning. In affected versions, the implementations for convolution operators trigger a division by 0 if passed empty filter tensor arguments. The fix will be included in TensorFlow 2.7.0. This CVE affects TensorFlow versions 2.6.0 to 2.6.1, 2.5.0 to 2.5.2, and versions below 2.4.4.
Understanding CVE-2021-41209
In this section, we will delve into the details of CVE-2021-41209.
What is CVE-2021-41209?
CVE-2021-41209 involves a division by 0 issue in TensorFlow's convolution operators when presented with empty filter tensor arguments.
The Impact of CVE-2021-41209
The impact of this vulnerability is assessed as MEDIUM with a base CVSS score of 5.5. The attack complexity is LOW, attack vector is LOCAL, and availability impact is HIGH. This vulnerability does not affect confidentiality or integrity.
Technical Details of CVE-2021-41209
Let's explore the technical aspects of CVE-2021-41209.
Vulnerability Description
The vulnerability triggers a division by 0 in TensorFlow's convolution operators when encountering empty filter tensors.
Affected Systems and Versions
Exploitation Mechanism
The issue occurs when the convolution operators encounter empty filter tensors, leading to a division by 0.
Mitigation and Prevention
Let's discuss mitigation strategies for CVE-2021-41209.
Immediate Steps to Take
Long-Term Security Practices
Patching and Updates