Safety vulnerability ID: 57831
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Tensorflow-rocm 2.1.4, 2.2.3, 2.3.3, 2.4.2, and 2.5.0 include a fix for CVE-2021-29608: TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in 'tf.raw_ops.RaggedTensorToTensor', an attacker can exploit an undefined behavior if input arguments are empty. The implementation (https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L356-L360) only checks that one of the tensors is not empty, but does not check for the other ones. There are multiple 'DCHECK' validations to prevent heap OOB, but these are no-op in release builds, hence they don't prevent anything.
Latest version: 2.14.0.600
TensorFlow is an open source machine learning framework for everyone.
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