CVE-2021-29607 : Vulnerability Insights and Analysis

TensorFlow is an open-source platform for machine learning that is affected by incomplete validation in

SparseAdd

. This vulnerability allows attackers to exploit undefined behavior and write outside the bounds of heap allocated data. The impact includes a medium severity base score with high availability impact. Immediate patching is necessary to prevent exploitation.

Understanding CVE-2021-29607

This CVE involves incomplete validation in

SparseSparseMinimum

in TensorFlow.

What is CVE-2021-29607?

Incomplete validation in

SparseAdd

allows attackers to exploit undefined behavior and write outside heap allocated data in TensorFlow.

The Impact of CVE-2021-29607

The vulnerability has a medium severity base score with high availability impact, potentially allowing attackers to abuse code assumptions in TensorFlow.

Technical Details of CVE-2021-29607

The vulnerability occurs due to incomplete validation in

SparseAdd

, enabling attackers to abuse assumptions in TensorFlow's implementation.

Vulnerability Description

Attackers can exploit undefined behavior and write outside of heap allocated data in TensorFlow due to incomplete validation in

SparseAdd

.

Affected Systems and Versions

TensorFlow versions < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, and >= 2.4.0, < 2.4.2 are affected by this vulnerability.

Exploitation Mechanism

By sending tensor triples that represent invalid sparse tensors, attackers can abuse code assumptions not covered by validation in TensorFlow.

Mitigation and Prevention

It is crucial to take immediate steps and implement long-term security practices to mitigate the risks associated with CVE-2021-29607.

Immediate Steps to Take

Patch the vulnerability immediately by updating affected TensorFlow versions and applying the fix included in TensorFlow 2.5.0. Ensure that TensorFlow 2.4.2, 2.3.3, 2.2.3, and 2.1.4 are also updated.

Long-Term Security Practices

Regularly update TensorFlow to the latest versions, implement secure coding practices, and conduct thorough security testing to prevent similar vulnerabilities.

Patching and Updates

Apply security patches provided by TensorFlow to ensure that the incomplete validation issue in

SparseAdd

is addressed effectively.