CVE-2022-41900 : What You Need to Know
Learn about CVE-2022-41900 in TensorFlow, a critical vulnerability allowing illegal heap memory access, potentially leading to crashes or remote code execution. Follow mitigation steps and update to secure versions.
FractionalMaxPool and FractionalAVGPool heap out-of-bounds access vulnerability in TensorFlow allows attackers to exploit illegal pooling_ratio, leading to heap memory access beyond user control, potentially causing crashes or remote code execution. The issue has been patched in TensorFlow 2.11.0, with the commit also backported to 2.10.1.
Understanding CVE-2022-41900
This section delves into the details of the vulnerability and its impacts.
What is CVE-2022-41900?
The CVE-2022-41900 vulnerability arises in TensorFlow when using FractionalMax(AVG)Pool with an illegal pooling_ratio, enabling attackers to access heap memory beyond user control, risking system stability and security. The issue poses a high severity threat with a CVSS base score of 7.1.
The Impact of CVE-2022-41900
Exploitation of this vulnerability can result in crashes or potential remote code execution, creating significant risks for affected systems. Successful attacks could lead to severe data breaches and compromise system integrity.
Technical Details of CVE-2022-41900
This section provides insights into the technical aspects of the vulnerability.
Vulnerability Description
The vulnerability allows unauthorized heap memory access due to illegal pooling_ratio configurations in FractionalMax(AVG)Pool functions within TensorFlow, providing attackers the opportunity to manipulate sensitive data or execute arbitrary code.
Affected Systems and Versions
TensorFlow versions ranging from 2.8.4 to 2.10.0 are impacted. Specifically, versions >=2.10.0, <2.10.1, >=2.9.0, <2.9.3, and <2.8.4 are deemed vulnerable to the FractionalMaxPool and FractionalAVGPool heap out-of-bounds access issue.
Exploitation Mechanism
Attackers can leverage the vulnerability in TensorFlow through crafted input parameters with illegal pooling_ratio, enabling unauthorized access to heap memory and subsequent exploitation for malicious activities.
Mitigation and Prevention
Explore the recommended measures to address and avoid vulnerabilities like CVE-2022-41900.
Immediate Steps to Take
Users and administrators are advised to update TensorFlow to version 2.11.0 where the issue has been resolved. Alternatively, apply the patch included in TensorFlow 2.10.1 to mitigate the vulnerability effectively.
Long-Term Security Practices
Establishing robust security protocols and regularly updating software and libraries can strengthen system defenses against potential exploits and cyber threats.
Patching and Updates
Stay informed about security advisories and promptly apply patches or updates released by TensorFlow to prevent exploitation of known vulnerabilities.