Out-of-bounds write in TensorFlow - CVE-2022-23561
Published: February 2, 2022 / Updated: May 3, 2026
TensorFlow
Detailed vulnerability description
The vulnerability allows a remote attacker to perform an arbitrary write.
The vulnerability exists due to out-of-bounds write in TFLite when parsing a crafted TFLite model. A remote attacker can supply a specially crafted model to perform an arbitrary write.
Under certain conditions, the issue can override the linked list used by the memory allocator.