CVE-2022-35937 : Vulnerability Insights and Analysis
Learn about CVE-2022-35937, an out-of-bounds read vulnerability in the `Gather_nd` operation within TensorFlow Lite. Find out the impact, affected versions, and mitigation steps.
A detailed overview of CVE-2022-35937, an out-of-bounds read vulnerability in the
Gather_ndUnderstanding CVE-2022-35937
This section delves into the impact, technical details, and mitigation strategies related to the CVE-2022-35937 vulnerability.
What is CVE-2022-35937?
CVE-2022-35937 is an out-of-bounds read vulnerability in the
Gather_ndThe Impact of CVE-2022-35937
The vulnerability has a CVSS v3.1 base score of 7.0, indicating a high severity issue. With a high availability impact and attack complexity, this vulnerability poses a significant risk to affected systems.
Technical Details of CVE-2022-35937
This section provides insights into the vulnerability description, affected systems and versions, and the exploitation mechanism.
Vulnerability Description
The flaw in the
Gather_ndAffected Systems and Versions
TensorFlow versions prior to 2.7.2, 2.8.0 to 2.8.1, and 2.9.0 to 2.9.1 are impacted by this vulnerability.
Exploitation Mechanism
The vulnerability triggers an out-of-bounds read by mishandling the sizes of inputs and outputs within the
Gather_ndMitigation and Prevention
Explore the immediate steps to take, long-term security practices, and the importance of patching and updates.
Immediate Steps to Take
Users are advised to update to TensorFlow 2.10.0 to mitigate the vulnerability. Additionally, patch versions 2.9.1, 2.8.1, and 2.7.2 also address this issue.
Long-Term Security Practices
Incorporate secure coding practices and regular security assessments to prevent similar vulnerabilities in the future.
Patching and Updates
Regularly update TensorFlow to the latest patched versions to ensure protection against potential exploits and vulnerabilities.