CVE-2021-37676 Explained : Impact and Mitigation
Discover the impact of CVE-2021-37676, a TensorFlow vulnerability allowing attackers to manipulate operations. Learn about affected versions and mitigation steps.
TensorFlow is an end-to-end open-source platform for machine learning. In affected versions, an attacker can exploit a vulnerability via binding a reference to a null pointer in
tf.raw_ops.SparseFillEmptyRowsUnderstanding CVE-2021-37676
This section delves into the specifics of the TensorFlow vulnerability and its impact.
What is CVE-2021-37676?
CVE-2021-37676 involves a reference binding to a nullptr in the shape inference process within TensorFlow, leading to potential security risks.
The Impact of CVE-2021-37676
This vulnerability can be leveraged by an attacker to trigger undefined behavior in TensorFlow, affecting confidentiality, integrity, and availability.
Technical Details of CVE-2021-37676
Explore the technical aspects of the vulnerability and affected systems.
Vulnerability Description
The vulnerability allows for undefined behavior by binding a reference to a null pointer in a specific TensorFlow operation.
Affected Systems and Versions
Versions >= 2.5.0 and < 2.5.1, >= 2.4.0 and < 2.4.3, and < 2.3.4 of TensorFlow are impacted by this security flaw.
Exploitation Mechanism
An attacker can trigger the vulnerability by manipulating input arguments during the shape inference process in TensorFlow.
Mitigation and Prevention
Learn how to address and prevent CVE-2021-37676 from affecting your systems.
Immediate Steps to Take
Users should update TensorFlow to version 2.6.0 or apply the relevant patches provided by TensorFlow to mitigate the vulnerability.
Long-Term Security Practices
It is crucial to follow security best practices, regularly update software, and monitor for security advisories from TensorFlow.
Patching and Updates
Stay informed about security updates and patches released by TensorFlow to safeguard your systems.