Input validation error in TensorFlow - CVE-2022-23594
Published: February 2, 2022 / Updated: May 3, 2026
Vulnerability identifier: #VU129147
CSH Severity: Low
CVSSv4.0: CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:H/SC:N/SI:N/SA:N/E:U/U:Clear
CVE-ID: CVE-2022-23594
CWE-ID: CWE-20
Exploitation vector: Local access
Exploit availability:
No public exploit available
Vulnerable software:
TensorFlow
TensorFlow
Software vendor:
TensorFlow
TensorFlow
Description
The vulnerability allows a local user to cause a denial of service or perform out-of-bounds memory access.
The vulnerability exists due to improper input validation in the TFG dialect GraphDef-to-MLIR conversion logic when converting a modified SavedModel GraphDef to MLIR-based IR. A local user can alter the SavedModel format on disk to cause a denial of service or perform out-of-bounds memory access.
Under certain scenarios, heap out-of-bounds read and write operations are possible.
Remediation
Install security update from vendor's website.