Safety vulnerability ID: 57830
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-2021-29583: The implementation of 'tf.raw_ops.FusedBatchNorm' is vulnerable to a heap buffer overflow. If the tensors are empty, the same implementation can trigger undefined behavior by dereferencing null pointers. The implementation(https://github.com/tensorflow/tensorflow/blob/57d86e0db5d1365f19adcce848dfc1bf89fdd4c7/tensorflow/core/kernels/fused_batch_norm_op.cc) fails to validate that 'scale', 'offset', 'mean' and 'variance' (the last two only when required) all have the same number of elements as the number of channels of 'x'. This results in heap out of bounds reads when the buffers backing these tensors are indexed past their boundary. If the tensors are empty, the validation mentioned in the above paragraph would also trigger and prevent the undefined behavior.
Latest version: 2.14.0.600
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