Out-of-bounds read in TensorFlow - CVE-2021-37685
Published: August 12, 2021 / 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 TFLite expand_dims kernel implementation in expand_dims.cc when parsing a model with a large negative axis value. A remote attacker can supply crafted input to trigger the out-of-bounds read and disclose sensitive information.