Safety vulnerability ID: 57848
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-2021-29547: An attacker can cause a segfault and denial of service via accessing data outside of bounds in 'tf.raw_ops.QuantizedBatchNormWithGlobalNormalization'. This is because the implementation (https://github.com/tensorflow/tensorflow/blob/55a97caa9e99c7f37a0bbbeb414dc55553d3ae7f/tensorflow/core/kernels/quantized_batch_norm_op.cc#L176-L189) assumes the inputs are not empty. If any of these inputs is empty, '.flat<T>()' is an empty buffer, so accessing the element at index 0 is accessing data outside of bounds.
Latest version: 2.14.0.600
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