CVE-2021-29610 : What You Need to Know
Learn about CVE-2021-29610, a vulnerability in TensorFlow's QuantizeAndDequantizeV2 allowing attackers to read/write to other data on the heap. Find out the impact, affected versions, and mitigation steps.
This article provides insights into CVE-2021-29610, a vulnerability in TensorFlow that allows attackers to read/write to other data on the heap.
Understanding CVE-2021-29610
This section delves into the impact, technical details, and mitigation strategies related to CVE-2021-29610.
What is CVE-2021-29610?
TensorFlow's validation in
tf.raw_ops.QuantizeAndDequantizeV2axisThe Impact of CVE-2021-29610
The vulnerability has a CVSS base score of 3.6, with a LOW severity. Attack complexity is HIGH, attack vector is LOCAL, and integrity impact is LOW, posing a risk of heap underflow.
Technical Details of CVE-2021-29610
This section outlines the vulnerability description, affected systems and versions, and the exploitation mechanism.
Vulnerability Description
Improper validation in
QuantizeAndDequantizeV2axisAffected Systems and Versions
The affected versions include TensorFlow < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, and >= 2.4.0, < 2.4.2.
Exploitation Mechanism
Attackers can exploit the vulnerability by manipulating the
axisMitigation and Prevention
This section provides immediate steps to take, long-term security practices, and the importance of patching and updates.
Immediate Steps to Take
Users are advised to update TensorFlow to version 2.5.0 or apply the necessary patches provided for versions 2.4.2, 2.3.3, 2.2.3, and 2.1.4 to mitigate the vulnerability.
Long-Term Security Practices
Maintaining up-to-date software, monitoring security advisories, and conducting regular security audits can help prevent such vulnerabilities.
Patching and Updates
Regularly check for security updates and apply patches released by the TensorFlow team to ensure the security of your machine learning models.