CVE-2022-41883 : Security Advisory and Response
Learn about CVE-2022-41883, a TensorFlow vulnerability causing out-of-bounds segmentation fault impacting versions 2.10.0 to 2.10.1. Follow mitigation steps for TensorFlow users.
Out of bounds segmentation fault due to unequal op inputs in TensorFlow.
Understanding CVE-2022-41883
A vulnerability in TensorFlow causing a segmentation fault due to differing number of inputs for specified operations.
What is CVE-2022-41883?
TensorFlow, an open-source platform for machine learning, crashes when operations with specified input sizes receive an unequal number of inputs, leading to a segmentation fault.
The Impact of CVE-2022-41883
The vulnerability can result in a denial of service (DoS) as the executor crashes, affecting the availability of the TensorFlow platform.
Technical Details of CVE-2022-41883
The vulnerability is identified as an out-of-bounds read issue (CWE-125) in TensorFlow, impacting versions 2.10.0 to 2.10.1.
Vulnerability Description
When operations in TensorFlow receive an inconsistent number of inputs compared to the specified input sizes, the executor crashes, causing a segmentation fault.
Affected Systems and Versions
Versions >= 2.10.0 and < 2.10.1 of TensorFlow are affected by this vulnerability, potentially leading to a DoS condition.
Exploitation Mechanism
The vulnerability can be exploited by providing a differing number of inputs to operations with specified input sizes in TensorFlow, triggering the segmentation fault.
Mitigation and Prevention
To address CVE-2022-41883, immediate actions and long-term security practices are essential.
Immediate Steps to Take
Users are advised to update TensorFlow to version 2.11 where the issue is patched. For versions 2.10.1, 2.9.3, and 2.8.4, the fix will also be cherrypicked to ensure mitigation.
Long-Term Security Practices
Regularly updating TensorFlow to the latest versions and staying informed about security advisories is crucial for maintaining a secure machine learning environment.
Patching and Updates
GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629 addresses the vulnerability in TensorFlow, and the fix is included in TensorFlow 2.11. Cherrypicking of the commit will also be done on TensorFlow 2.10.1, 2.9.3, and 2.8.4 versions.