CVE-2022-35934 : Exploit Details and Defense Strategies
Discover the impact of CVE-2022-35934 on TensorFlow due to tf.reshape vulnerability. Learn about the affected versions, exploitation risks, and mitigation steps for this security flaw.
TensorFlow, an open-source machine learning platform, is impacted by a vulnerability in the tf.reshape operation. This vulnerability can lead to a denial of service due to a CHECK-failure, triggered by overflowing the number of elements in a tensor. The issue has been patched in GitHub commit 61f0f9b94df8c0411f0ad0ecc2fec2d3f3c33555. Read on to understand the impact, technical details, and mitigation steps related to CVE-2022-35934.
Understanding CVE-2022-35934
This section delves into the details of the vulnerability affecting TensorFlow.
What is CVE-2022-35934?
TensorFlow's tf.reshape operation is susceptible to a denial-of-service exploit through a CHECK-failure resulting from an overflow of tensor elements. The security flaw is addressed in GitHub commit 61f0f9b94df8c0411f0ad0ecc2fec2d3f3c33555.
The Impact of CVE-2022-35934
The vulnerability's CVSS base score of 5.9 indicates a medium severity level, with high availability impact. Due to the assertion failure in tf.reshape, an attacker could disrupt services relying on TensorFlow models.
Technical Details of CVE-2022-35934
Explore the technical aspects and implications of the vulnerability.
Vulnerability Description
The vulnerability allows an attacker to trigger a denial of service by overloading tensor elements, leading to a CHECK-failure scenario in tf.reshape within TensorFlow.
Affected Systems and Versions
Versions below 2.7.2 are impacted, along with versions between 2.8.0 and 2.8.1, and 2.9.0 to 2.9.1. Users of these versions should take immediate action to secure their systems.
Exploitation Mechanism
The vulnerability can be exploited remotely over a network without requiring user interaction, posing a significant risk to affected systems.
Mitigation and Prevention
Learn how to address and prevent the CVE-2022-35934 vulnerability.
Immediate Steps to Take
Immediately apply the patch provided in GitHub commit 61f0f9b94df8c0411f0ad0ecc2fec2d3f3c33555. Users should upgrade to TensorFlow 2.10.0 once available or apply the fix for versions 2.9.1, 2.8.1, and 2.7.2.
Long-Term Security Practices
Implement robust security measures and regularly update TensorFlow to protect against potential vulnerabilities.
Patching and Updates
Stay informed about security advisories and apply patches promptly to safeguard your TensorFlow installations.