CVE-2022-35985 - CVE House

Back to Database

Status published Medium CVE-2022-35985

`CHECK` fail in `LRNGrad` in TensorFlow

5.9 CVSS

Vulnerability Description

TensorFlow is an open source platform for machine learning. If `LRNGrad` is given an `output_image` input tensor that is not 4-D, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bd90b3efab4ec958b228cd7cfe9125be1c0cf255. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Impact Analysis

Refer to official advisory for detailed impact metrics.

Remediation

Ensure systems are updated to the latest vendor-supplied patch levels.

THREAT MONITOR

Am I Vulnerable?

Launch our assessment wizard to check if your infrastructure is exposed to • CVE-2022-35985

Check My Exposure

Credits & Attribution

No credits recorded in the NVD database.

References

More from tensorflow

View All →

Arbitrary code injection vulnerability in Keras framework < 2.13

TensorFlow segfault in array_ops.upper_bound

TensorFlow has Floating Point Exception in TFLite in conv kernel

TensorFlow has double free in Fractional(Max/Avg)Pool

TensorFlow has null dereference on ParallelConcat with XLA

Affected Vendor

tensorflow

View all reports →

Affected Software

tensorflow

Vulnerable Versions:

< 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1

Timeline

Official Publish: September 16th, 2022

Last Modified: April 23rd, 2025

Added to House: July 21st, 2026

CVSS Vectors

V3: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

Weaknesses (CWE)

MITRE ATT&CK TTPs

T1499 Endpoint Denial of Service

T1190 Exploit Public-Facing Application

T1059 Command and Scripting Interpreter

T1562 Impair Defenses

Defense Evasion

T1485 Data Destruction