Safety vulnerability ID: 53903
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Tensorflow 2.11.1 and 2.12.0 include a fix for CVE-2023-25661: 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.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fxgc-95xx-grvq
Latest version: 2.16.1
TensorFlow is an open source machine learning framework for everyone.
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. See CVE-2023-25661.
MISC:https://github.com/tensorflow/tensorflow/commit/948fe6369a5711d4b4568ea9bbf6015c6dfb77e2: https://github.com/tensorflow/tensorflow/commit/948fe6369a5711d4b4568ea9bbf6015c6dfb77e2
MISC:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fxgc-95xx-grvq: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fxgc-95xx-grvq
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