CVE-2021-37677 : Vulnerability Insights and Analysis

A detailed analysis of a vulnerability in TensorFlow affecting versions 2.3.4 to 2.5.0.

Understanding CVE-2021-37677

This CVE highlights a vulnerability in TensorFlow related to shape inference code for

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operation.

What is CVE-2021-37677?

TensorFlow versions 2.3.4 to 2.5.0 are susceptible to a denial-of-service vulnerability due to missing validation in the

Dequantize

shape inference code.

The Impact of CVE-2021-37677

The vulnerability could allow an attacker to trigger a denial of service via a segfault by providing invalid arguments, affecting the availability of the system.

Technical Details of CVE-2021-37677

This section delves into the specifics of the vulnerability.

Vulnerability Description

The issue arises from improper validation in the shape inference code for

Dequantize

, enabling attackers to exploit the vulnerability.

Affected Systems and Versions

Versions >= 2.5.0, < 2.5.1, >= 2.4.0, < 2.4.3, and < 2.3.4 of TensorFlow are affected by this vulnerability.

Exploitation Mechanism

Attackers can trigger a denial-of-service attack by supplying malicious arguments to the

Dequantize

operation.

Mitigation and Prevention

Steps to address and prevent the CVE-2021-37677 vulnerability.

Immediate Steps to Take

Ensure TensorFlow is updated to versions that include the patched commit to mitigate the vulnerability.

Long-Term Security Practices

Implement secure coding practices, regular security audits, and stay informed about TensorFlow security updates.

Patching and Updates

Apply available TensorFlow patches containing the fix for CVE-2021-37677 to safeguard systems.