CVE-2022-35939 : Exploit Details and Defense Strategies

A detailed overview of the out-of-bounds write vulnerability in the

scatter_nd

op in TensorFlow Lite.

Understanding CVE-2022-35939

This CVE addresses a critical vulnerability in the TensorFlow Lite platform.

What is CVE-2022-35939?

TensorFlow is an open-source platform for machine learning. The issue arises from the

ScatterNd

function, which mishandles input indices, leading to out-of-bounds writes.

The Impact of CVE-2022-35939

The vulnerability has a CVSS base score of 7 (High) and affects versions of TensorFlow Lite < 2.7.2, >= 2.8.0, < 2.8.1, and >= 2.9.0, < 2.9.1. An attacker can exploit this flaw to write content at incorrect indices or trigger a crash.

Technical Details of CVE-2022-35939

Explore the specifics of the vulnerability for a better understanding.

Vulnerability Description

The vulnerability originates from the

scatter_nd

op in TensorFlow Lite, allowing malicious actors to perform out-of-bounds writes.

Affected Systems and Versions

TensorFlow Lite < 2.7.2
TensorFlow Lite >= 2.8.0, < 2.8.1
TensorFlow Lite >= 2.9.0, < 2.9.1

Exploitation Mechanism

The issue occurs due to mishandling of input indices by the

ScatterNd

function, leading to unauthorized writes.

Mitigation and Prevention

Discover how to address and prevent the exploitation of this security vulnerability in TensorFlow Lite.

Immediate Steps to Take

Users are advised to update their TensorFlow Lite installations to version 2.10.0, where the issue has been patched, or apply the fix provided in GitHub commit b4d4b4cb019bd7240a52daa4ba61e3cc814f0384.

Long-Term Security Practices

Developers should prioritize input validation and boundary checks to prevent similar vulnerabilities in the future.

Patching and Updates

Ensure to regularly update TensorFlow Lite to the latest versions to mitigate security risks.