Out-of-bounds read in TensorFlow - CVE-2021-37663
Published: August 12, 2021 / Updated: May 4, 2026
TensorFlow
TensorFlow
Description
The vulnerability allows a local user to cause a denial of service or disclose sensitive information.
The vulnerability exists due to out-of-bounds read in tf.raw_ops.QuantizeV2 when parsing crafted min_range, max_range, and axis inputs. A local user can supply inconsistent tensor arguments to cause a denial of service or disclose sensitive information.
The issue can also trigger undefined behavior by binding a reference to a null pointer.