Learn about the TensorFlow `ParallelConcat` vulnerability (CVE-2021-41207) causing division by zero. Understand its impact, affected versions, and mitigation steps.
TensorFlow is an open-source platform for machine learning. In affected versions, the implementation of
ParallelConcat
misses some input validation, potentially leading to a division by 0. This CVE highlights the impact, technical details, and mitigation strategies for the vulnerability.
Understanding CVE-2021-41207
This section provides insights into the nature and implications of the CVE-2021-41207 vulnerability.
What is CVE-2021-41207?
The CVE-2021-41207 vulnerability in TensorFlow arises from inadequate input validation in the
ParallelConcat
implementation, enabling the possibility of a division by 0.
The Impact of CVE-2021-41207
The vulnerability's impact is classified as medium severity based on the CVSS v3.1 metrics. Although it requires low privileges and no user interaction, it can have a high availability impact due to potential division by 0.
Technical Details of CVE-2021-41207
This section delves into the specific technical aspects of CVE-2021-41207.
Vulnerability Description
The vulnerability stemmed from missing input validation in the
ParallelConcat
function within TensorFlow, leading to a potential division by 0.
Affected Systems and Versions
Exploitation Mechanism
The vulnerability can be exploited by providing specially crafted inputs to trigger the
ParallelConcat
function, resulting in a division by 0.
Mitigation and Prevention
This section outlines steps to mitigate and prevent exploitation of the CVE-2021-41207 vulnerability.
Immediate Steps to Take
Long-Term Security Practices
Patching and Updates
Keep track of security advisories and patches released by TensorFlow to stay informed about fixes for known vulnerabilities.