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CVE-2021-29615 : What You Need to Know

Learn about CVE-2021-29615 affecting TensorFlow versions < 2.1.4 to < 2.4.2, leading to a stack overflow in the `ParseAttrValue` function. Find mitigation steps and updates to enhance system security.

TensorFlow is an open-source machine learning platform. A vulnerability in the

ParseAttrValue
function can lead to a stack overflow when specially crafted input is provided. The affected versions range from < 2.1.4 to < 2.4.2, with fixes included in version 2.5.0 and backported to previous affected versions.

Understanding CVE-2021-29615

This CVE highlights a vulnerability in TensorFlow's

ParseAttrValue
function that allows for stack overflow through recursive input manipulation.

What is CVE-2021-29615?

CVE-2021-29615 identifies a stack overflow vulnerability in TensorFlow caused by a recursive exploit in the

ParseAttrValue
implementation.

The Impact of CVE-2021-29615

The impact of this CVE ranges from a high attack complexity to a low base severity due to uncontrolled recursion, potentially leading to availability impact.

Technical Details of CVE-2021-29615

The vulnerability in the

ParseAttrValue
function of TensorFlow arises from uncontrolled recursion, affecting versions ranging from < 2.1.4 to < 2.4.2.

Vulnerability Description

The vulnerability allows for a stack overflow by manipulating recursive input in the

ParseAttrValue
function of TensorFlow.

Affected Systems and Versions

Versions affected include < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, and >= 2.4.0, < 2.4.2 of TensorFlow.

Exploitation Mechanism

Exploiting this vulnerability involves providing specially crafted input to trigger recursive behavior resulting in a stack overflow.

Mitigation and Prevention

To address CVE-2021-29615, immediate steps should be taken to mitigate risks and ensure long-term security practices.

Immediate Steps to Take

Promptly update TensorFlow to version 2.5.0 to resolve the vulnerability and prevent stack overflow exploits.

Long-Term Security Practices

Implement secure coding practices, conduct regular security assessments, and stay informed about TensorFlow updates to maintain system integrity.

Patching and Updates

Regularly apply security patches and updates provided by TensorFlow to address vulnerabilities and enhance system security.

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