Learn about CVE-2022-23571, a vulnerability in Tensorflow allowing denial of service attacks. Find out how to mitigate the risk and apply necessary patches.
Tensorflow is an open-source machine learning framework. This vulnerability allows attackers to trigger denial of service by exploiting invalid tensor attributes in the decoding process.
Understanding CVE-2022-23571
This CVE relates to a vulnerability in Tensorflow that enables attackers to disrupt service availability through crafted tensor inputs.
What is CVE-2022-23571?
When a TensorFlow process decodes a tensor from protobuf, attackers can manipulate specific tensor attributes to trigger denial of service, impacting TensorFlow processes.
The Impact of CVE-2022-23571
The exploitation of this vulnerability can lead to denial of service attacks on systems running affected versions of Tensorflow, potentially disrupting critical operations.
Technical Details of CVE-2022-23571
This section delves into the specifics of the vulnerability, affected systems, and the exploitation mechanism.
Vulnerability Description
The vulnerability arises from a
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assertion being compromised due to user-controlled arguments, leading to denial of service when encountering tensors with invalid attributes.
Affected Systems and Versions
Versions of Tensorflow from 2.5.3 to 2.7.0 (excluding 2.7.1) and 2.6.0 to 2.6.3 are impacted by this vulnerability.
Exploitation Mechanism
Attackers can exploit this vulnerability by providing malicious inputs to TensorFlow processes, causing the system to crash and resulting in denial of service.
Mitigation and Prevention
Discover how to address and safeguard systems against CVE-2022-23571 for enhanced cybersecurity protection.
Immediate Steps to Take
Implementing immediate measures can help mitigate the risk posed by this vulnerability, minimizing the potential impact on systems.
Long-Term Security Practices
Adopting robust security practices and regular monitoring can fortify systems against similar vulnerabilities in the long term.
Patching and Updates
Updating to TensorFlow version 2.8.0 or applying the provided fixes for versions 2.7.1, 2.6.3, and 2.5.3 is crucial to remediate CVE-2022-23571 effectively.