TensorFlow is an Open Source Machine Learning Framework. In versions prior to 2.11.1 a malicious invalid input crashes a tensorflow model (Check Failed) and can be used to trigger a denial of service attack. A proof of concept can be constructed with the `Convolution3DTranspose` function. This Convolution3DTranspose layer is a very common API in modern neural networks. The ML models containing such vulnerable components could be deployed in ML applications or as cloud services. This failure could be potentially used to trigger a denial of service attack on ML cloud services. An attacker must have privilege to provide input to a `Convolution3DTranspose` call. This issue has been patched and users are advised to upgrade to version 2.11.1. There are no known workarounds for this vulnerability.
CVE-2023-25661 - Medium Severity Vulnerability
TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/d2/ea/ab2c8c0e81bd051cc1180b104c75a865ab0fc66c89be992c4b20bbf6d624/tensorflow-1.13.1-cp27-cp27mu-manylinux1_x86_64.whl
Path to dependency file: /game_ai_trainer/requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy: - :x: **tensorflow-1.13.1-cp27-cp27mu-manylinux1_x86_64.whl** (Vulnerable Library)
Found in base branch: master
TensorFlow is an Open Source Machine Learning Framework. In versions prior to 2.11.1 a malicious invalid input crashes a tensorflow model (Check Failed) and can be used to trigger a denial of service attack. A proof of concept can be constructed with the `Convolution3DTranspose` function. This Convolution3DTranspose layer is a very common API in modern neural networks. The ML models containing such vulnerable components could be deployed in ML applications or as cloud services. This failure could be potentially used to trigger a denial of service attack on ML cloud services. An attacker must have privilege to provide input to a `Convolution3DTranspose` call. This issue has been patched and users are advised to upgrade to version 2.11.1. There are no known workarounds for this vulnerability.
Publish Date: 2023-03-27
URL: CVE-2023-25661
Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: Low - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: None - Integrity Impact: None - Availability Impact: High
For more information on CVSS3 Scores, click here.Type: Upgrade version
Origin: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fxgc-95xx-grvq
Release Date: 2023-03-27
Fix Resolution: 2.11.1
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