March 27, 2023, 8:15 p.m. |

National Vulnerability Database web.nvd.nist.gov

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 …

api applications attack check cloud cloud services concept crashes cve denial of service denial of service attack framework function input machine machine learning malicious ml models networks neural networks open source privilege service services tensorflow trigger vulnerable

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