Division by zero in TensorFlow - CVE-2022-35996
Published: September 15, 2022 / Updated: May 3, 2026
Vulnerability identifier: #VU129094
CSH Severity: Medium
CVSSv4.0: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:U/U:Green
CVE-ID: CVE-2022-35996
CWE-ID: CWE-369
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 division by zero in the Conv2D operation when processing an empty input tensor with valid filter and padding sizes. A remote attacker can supply crafted input values to cause a denial of service.
The issue can be triggered on CPU and GPU.
Remediation
Install security update from vendor's website.