CVE-2021-29613 : Security Advisory and Response

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

tf.raw_ops.CTCLoss

allows an attacker to trigger an out-of-bounds read from the heap. The impacted versions range from < 2.1.4 to < 2.4.2. It is classified with a CVSS base score of 6.3, indicating a medium severity issue.

Understanding CVE-2021-29613

This CVE involves incomplete validation in a specific TensorFlow operation, enabling a potential OOB read attack.

What is CVE-2021-29613?

CVE-2021-29613 is a vulnerability in TensorFlow that permits an attacker to conduct an out-of-bounds read due to inadequate validation in

tf.raw_ops.CTCLoss

.

The Impact of CVE-2021-29613

The vulnerability poses a medium-severity risk, with a CVSS base score of 6.3. An attacker exploiting this flaw could trigger an OOB read from the heap.

Technical Details of CVE-2021-29613

The vulnerability lies in incomplete validation within

tf.raw_ops.CTCLoss

operation, affecting several versions of TensorFlow.

Vulnerability Description

Incomplete validation in

tf.raw_ops.CTCLoss

allows malicious actors to trigger an OOB read from the heap.

Affected Systems and Versions

The impacted versions of TensorFlow range from < 2.1.4 to < 2.4.2.

Exploitation Mechanism

An attacker can exploit this vulnerability by manipulating certain inputs to

tf.raw_ops.CTCLoss

, resulting in an out-of-bounds read.

Mitigation and Prevention

To address CVE-2021-29613, users are advised to take immediate steps and implement long-term security practices.

Immediate Steps to Take

Upgrade TensorFlow to version 2.5.0, where the fix is included.
Apply patches for versions 2.4.2, 2.3.3, 2.2.3, and 2.1.4, as the vulnerability affects these versions.

Long-Term Security Practices

Regularly update TensorFlow to the latest versions to ensure vulnerabilities are patched promptly.

Patching and Updates

Stay informed about security advisories and apply relevant patches to keep your TensorFlow installation secure.