CVE-2023-25661

Advisory

Tensorflow-rocm 2.11.0* and previous versions are affected by 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

Affected package

Affected versions

Fixed versions

Vulnerability changelog

This vulnerability has no description

Resources

• https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-25661
• https://github.com/tensorflow/tensorflow/commit/948fe6369a5711d4b4568ea9bbf6015c6dfb77e2
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fxgc-95xx-grvq