Safety vulnerability ID: 57913
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-2021-29532: An attacker can force accesses outside the bounds of heap allocated arrays by passing in invalid tensor values to `tf.raw_ops.RaggedCross`. This is because the implementation (https://github.com/tensorflow/tensorflow/blob/efea03b38fb8d3b81762237dc85e579cc5fc6e87/tensorflow/core/kernels/ragged_cross_op.cc#L456-L487) lacks validation for the user supplied arguments. Each of the above branches call a helper function after accessing array elements via a `*_list[next_*]` pattern, followed by incrementing the `next_*` index. However, as there is no validation that the `next_*` values are in the valid range for the corresponding `*_list` arrays, this results in heap OOB reads.
Latest version: 2.14.0.600
TensorFlow is an open source machine learning framework for everyone.
This vulnerability has no description
Scan your Python project for dependency vulnerabilities in two minutes
Scan your application