Learn about CVE-2022-23574, a high-severity TensorFlow vulnerability allowing out-of-bounds read/write access. Find impacted versions and mitigation steps.
A detailed overview of the TensorFlow vulnerability leading to an out-of-bounds read and write issue.
Understanding CVE-2022-23574
This CVE involves a typo in TensorFlow's
SpecializeType
resulting in heap out-of-bounds read/write vulnerability.
What is CVE-2022-23574?
TensorFlow, an Open Source Machine Learning Framework, contains a typo that allows for reading and writing outside of bounds data due to the incorrect initialization of a mutable argument.
The Impact of CVE-2022-23574
With a CVSS base score of 8.8, this vulnerability has a high impact on confidentiality, integrity, and availability of affected systems.
Technical Details of CVE-2022-23574
A deep dive into the vulnerability.
Vulnerability Description
The issue stems from
SpecializeType
typo, which permits unauthorized read and write access to sensitive data.
Affected Systems and Versions
TensorFlow versions >= 2.5.3 and < 2.7.1, including 2.6.0 to 2.6.3, are impacted by this vulnerability.
Exploitation Mechanism
The vulnerability allows attackers to read and write data outside of the intended boundaries, potentially leading to unauthorized access and data manipulation.
Mitigation and Prevention
Preventive measures and actions to address the vulnerability.
Immediate Steps to Take
Users are advised to update TensorFlow to version 2.8.0 or apply fixes available in TensorFlow 2.7.1 and 2.6.3.
Long-Term Security Practices
Implement robust security protocols and regular audits to detect and mitigate such vulnerabilities promptly.
Patching and Updates
Stay informed about security advisories, patches, and updates from TensorFlow to protect systems from known vulnerabilities.