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samedi 15 mai 2021

Google TensorFlow up to 2.1.3/2.2.2/2.3.2/2.4.1 maxpooling_op.cc tf.raw_ops.MaxPoolGrad memory corruption

A vulnerability was found in Google TensorFlow up to 2.1.3/2.2.2/2.3.2/2.4.1 (Artificial Intelligence Software). It has been classified as critical. This affects the function tf.raw_ops.MaxPoolGrad of the file core/kernels/maxpooling_op.cc. Upgrading to version 2.1.4, 2.2.3, 2.3.3, 2.4.2 or 2.5.0 eliminates this vulnerability. Applying a patch is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

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Auteur: VulDB

Catégories: VulDBNombre de vues: 66

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