CVE-2022-36027 : Vulnerability Insights and Analysis
Learn about CVE-2022-36027, a TensorFlow vulnerability impacting versions < 2.7.2, >= 2.8.0, < 2.8.1, and >= 2.9.0, < 2.9.1. Discover the impact, technical details, and mitigation steps.
TensorFlow is an open-source platform for machine learning. A vulnerability (CVE-2022-36027) has been identified that affects versions prior to 2.7.2, between 2.8.0 and 2.8.1, and between 2.9.0 and 2.9.1. The vulnerability causes the TFLite converter to segfault and crash the Python process when converting transposed convolutions using per-channel weight quantization.
Understanding CVE-2022-36027
This section delves into the details of the CVE-2022-36027 vulnerability.
What is CVE-2022-36027?
The issue arises in TensorFlow when converting transposed convolutions using per-channel weight quantization, leading to a crash in the TFLite converter process. TensorFlow has released patches for versions 2.7.2, 2.8.1, and 2.9.1, with TensorFlow 2.10.0 including the fix.
The Impact of CVE-2022-36027
The vulnerability, with a CVSS base score of 5.9, poses a medium-severity risk. It has a high impact on availability, making the Python process crash, but does not impact confidentiality or integrity.
Technical Details of CVE-2022-36027
This section provides technical insights into the CVE-2022-36027 vulnerability.
Vulnerability Description
The vulnerability stems from improper input validation during the conversion of transposed convolutions using per-channel weight quantization in TensorFlow.
Affected Systems and Versions
Versions prior to 2.7.2, between 2.8.0 and 2.8.1, and between 2.9.0 and 2.9.1 are affected by CVE-2022-36027.
Exploitation Mechanism
The vulnerability can be exploited by triggering the conversion of transposed convolutions with per-channel weight quantization in TensorFlow.
Mitigation and Prevention
This section outlines steps to mitigate and prevent the CVE-2022-36027 vulnerability.
Immediate Steps to Take
Users are advised to update their TensorFlow installations to the patched versions (2.7.2, 2.8.1, 2.9.1, or later) to mitigate the risk of the TFLite converter crashing.
Long-Term Security Practices
Implement proper input validation and ensure timely updates of TensorFlow to prevent similar vulnerabilities in the future.
Patching and Updates
Stay informed about security advisories and updates from TensorFlow to address known vulnerabilities and ensure the security of your machine learning projects.