Out-of-bounds read in TensorFlow - CVE-2022-21728
Published: February 2, 2022 / Updated: May 3, 2026
TensorFlow
TensorFlow
Description
The vulnerability allows a remote attacker to disclose sensitive information.
The vulnerability exists due to an out-of-bounds read in the shape inference for ReverseSequence when processing a ReverseSequence operation with a negative batch_dim value. A remote attacker can supply a specially crafted ReverseSequence operation to disclose sensitive information.
The issue occurs because negative batch_dim values are not fully validated, and excessively negative values can cause access before the start of the dimensions array.