CVE-2022-41909 : Exploit Details and Defense Strategies

A segfault vulnerability in

CompositeTensorVariantToComponents

in TensorFlow could be triggered by an invalid input

encoded

, affecting specific versions of TensorFlow. The issue has been patched, and users are advised to update to the fixed versions to prevent exploitation.

Understanding CVE-2022-41909

This section delves into the details of the CVE-2022-41909 vulnerability in TensorFlow.

What is CVE-2022-41909?

CVE-2022-41909 involves a segfault vulnerability in

CompositeTensorVariantToComponents

in TensorFlow, caused by an invalid input

encoded

.

The Impact of CVE-2022-41909

The vulnerability could lead to a denial of service (DoS) condition due to a segfault triggered by the mentioned function in TensorFlow.

Technical Details of CVE-2022-41909

This section provides technical insights into the CVE-2022-41909 vulnerability.

Vulnerability Description

An input

encoded

that is not a valid

CompositeTensorVariant

tensor triggers a segfault in

tf.raw_ops.CompositeTensorVariantToComponents

.

Affected Systems and Versions

Vendor: TensorFlow
Product: TensorFlow
Affected Versions: TensorFlow 2.10.0, 2.10.1, 2.9.0, 2.9.3, 2.8.4

Exploitation Mechanism

The vulnerability can be exploited by supplying an invalid

CompositeTensorVariant

tensor as input, leading to a segfault.

Mitigation and Prevention

The following steps can help mitigate the risks associated with CVE-2022-41909.

Immediate Steps to Take

Users are strongly advised to update their TensorFlow installations to the patched versions to prevent exploitation of the vulnerability.

Long-Term Security Practices

Regularly updating software and keeping track of security advisories can help maintain a secure environment.

Patching and Updates

The issue has been patched in GitHub commits

bf594d08d377dc6a3354d9fdb494b32d45f91971

and

660ce5a89eb6766834bdc303d2ab3902aef99d3d

, with fixes available in TensorFlow 2.11. Additionally, the commits will be cherrypicked in TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4.