CVE-2021-29578 : Security Advisory and Response

A detailed article about the heap buffer overflow vulnerability in

FractionalAvgPoolGrad

in TensorFlow.

Understanding CVE-2021-29578

This section will cover what CVE-2021-29578 is, its impact, technical details, and mitigation steps.

What is CVE-2021-29578?

TensorFlow's

tf.raw_ops.FractionalAvgPoolGrad

is susceptible to a heap buffer overflow due to insufficient validation of pooling sequence arguments.

The Impact of CVE-2021-29578

The vulnerability in

FractionalAvgPoolGrad

can be exploited locally, resulting in a low severity base score of 2.5 CVSSv3.1.

Technical Details of CVE-2021-29578

This section will delve into the vulnerability description, affected systems, and exploitation mechanism.

Vulnerability Description

The vulnerability occurs due to unchecked elements in the

out_backprop

tensor shape, leading to a heap buffer overflow.

Affected Systems and Versions

Users of TensorFlow versions below 2.1.4, between 2.2.0 and 2.2.3, 2.3.0 and 2.3.3, and 2.4.0 and 2.4.2 are at risk.

Exploitation Mechanism

The vulnerability can be exploited locally with low privileges required, impacting availability but not confidentiality or integrity.

Mitigation and Prevention

Learn about immediate actions to take and long-term security practices to safeguard against this vulnerability.

Immediate Steps to Take

Apply the necessary patches and updates provided by TensorFlow to mitigate the risk of exploitation.

Long-Term Security Practices

Implement secure coding practices and stay updated with security advisories to prevent similar vulnerabilities.

Patching and Updates

Keep your TensorFlow installation up to date with versions, ensuring you are not using any affected versions.