Input validation error in TensorFlow - CVE-2022-29192
Published: May 17, 2022 / Updated: May 3, 2026
Vulnerability identifier: #VU129144
CSH Severity: Medium
CVSSv4.0: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:U/U:Green
CVE-ID: CVE-2022-29192
CWE-ID: CWE-20
Exploitation vector: Remote access
Exploit availability:
No public exploit available
Vulnerable software:
TensorFlow
TensorFlow
Software vendor:
TensorFlow
TensorFlow
Description
The vulnerability allows a remote attacker to cause a denial of service.
The vulnerability exists due to improper input validation in tf.raw_ops.QuantizeAndDequantizeV4Grad when processing crafted input arguments. A remote attacker can supply non-scalar input_min or input_max values to cause a denial of service.
The issue results in a CHECK-failure because the implementation assumes input_min and input_max are scalars without validating this condition.
Remediation
Install security update from vendor's website.