CVE-2021-37682 : Vulnerability Insights and Analysis

TensorFlow is an end-to-end open-source platform for machine learning, and an issue in certain versions allows TFLite operations using quantization to use uninitialized values.

Understanding CVE-2021-37682

This CVE identifies a vulnerability in TensorFlow affecting versions 2.3.4 to 2.5.1 that can lead to the use of uninitialized values in TFLite operations.

What is CVE-2021-37682?

In the impacted versions of TensorFlow, TFLite operations utilizing quantization may unintentionally utilize uninitialized values, posing a security risk.

The Impact of CVE-2021-37682

With a CVSS base score of 4.4 (Medium), this vulnerability has a low attack complexity and vector, impacting integrity and availability of affected systems. However, it requires low privileges and no user interaction.

Technical Details of CVE-2021-37682

The vulnerability in TensorFlow lies in the handling of quantization parameters within TFLite operations, leading to the potential use of uninitialized values.

Vulnerability Description

The issue stems from inadequate checks in the code related to quantization parameters, allowing uninitialized values to be used in TFLite operations.

Affected Systems and Versions

TensorFlow versions >= 2.5.0 and < 2.5.1, >= 2.4.0 and < 2.4.3, and < 2.3.4 are impacted by this vulnerability.

Exploitation Mechanism

An attacker could exploit this vulnerability by crafting inputs to TFLite operations, potentially leading to unauthorized access and data manipulation.

Mitigation and Prevention

To safeguard systems against CVE-2021-37682, immediate actions and long-term security strategies must be implemented.

Immediate Steps to Take

Users are advised to update TensorFlow to the patched versions (2.5.1, 2.4.3, 2.3.4) where the issue has been resolved. Ensure all systems running affected TensorFlow versions are promptly updated.

Long-Term Security Practices

Regularly monitor for security advisories and updates from TensorFlow to address any future vulnerabilities promptly.

Patching and Updates

Apply patches provided by TensorFlow, ensuring that all systems are running secure and up-to-date versions to prevent exploitation of known vulnerabilities.