CVE-2022-23575 : What You Need to Know

Tensorflow is an Open Source Machine Learning Framework. The implementation of

OpLevelCostEstimator::CalculateTensorSize

is vulnerable to an integer overflow, allowing an attacker to exploit a tensor with a large number of elements.

Understanding CVE-2022-23575

This CVE refers to an integer overflow vulnerability in Tensorflow affecting versions 2.5.3, 2.6.0 to 2.6.2, and 2.7.0 to 2.7.0.

What is CVE-2022-23575?

Tensorflow's

OpLevelCostEstimator::CalculateTensorSize

implementation is susceptible to an integer overflow, which could be exploited by a malicious actor to create an operation involving a large tensor.

The Impact of CVE-2022-23575

The vulnerability poses a medium severity risk, with a CVSS base score of 6.5. It has a low attack complexity but high availability impact, requiring low privileges and no user interaction.

Technical Details of CVE-2022-23575

The following technical details provide insight into the vulnerability.

Vulnerability Description

The vulnerability arises from an integer overflow in Tensorflow's calculation of tensor size, potentially leading to security compromises.

Affected Systems and Versions

Tensorflow versions >= 2.7.0 and < 2.7.1, >= 2.6.0 and < 2.6.3, and < 2.5.3 are affected by this vulnerability.

Exploitation Mechanism

An attacker can exploit the vulnerability by manipulating operations involving tensors with a significant number of elements.

Mitigation and Prevention

Protecting systems from CVE-2022-23575 involves immediate steps and long-term security practices.

Immediate Steps to Take

Users should update Tensorflow to version 2.8.0 to mitigate the vulnerability. For older versions, patches are available for 2.7.1, 2.6.3, and 2.5.3.

Long-Term Security Practices

Adopting secure coding practices, regular security audits, and staying informed about patch releases can enhance system security.

Patching and Updates

Regularly apply security patches and updates provided by Tensorflow to address known vulnerabilities.