CVE-2021-29600 : What You Need to Know

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the

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TFLite operator is vulnerable to a division by zero error. An attacker can craft a model to exploit this vulnerability. The fix is included in TensorFlow 2.5.0 and will be backported to earlier versions.

Understanding CVE-2021-29600

CVE-2021-29600 highlights a division by zero vulnerability in TensorFlow's

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TFLite operator.

What is CVE-2021-29600?

This CVE-2021-29600 refers to a specific vulnerability in TensorFlow's

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TFLite operator, allowing attackers to trigger a division by zero error.

The Impact of CVE-2021-29600

The vulnerability in

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TFLite operator poses a low severity threat with a CVSS base score of 2.5. Attack complexity is high but requires low privileges. The availability impact is low.

Technical Details of CVE-2021-29600

The technical details of CVE-2021-29600 include:

Vulnerability Description

The vulnerability arises due to a division by zero error in the

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TFLite operator implementation, affecting specific versions of TensorFlow.

Affected Systems and Versions

The vulnerability impacts TensorFlow versions below 2.5.0, including 2.4.2, 2.3.3, 2.2.3, and 2.1.4.

Exploitation Mechanism

Attackers can exploit this vulnerability by crafting a malicious model to trigger a division by zero error.

Mitigation and Prevention

Understanding the actions to mitigate and prevent exploitation:

Immediate Steps to Take

Users should update their TensorFlow installations to version 2.5.0 to address the vulnerability.

Long-Term Security Practices

Regularly update TensorFlow to the latest version to apply security patches and prevent known vulnerabilities.

Patching and Updates

Ensure timely installation of security patches released by TensorFlow to protect systems from exploitation.