CVE-2022-35989 - CVE House

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Status published Medium CVE-2022-35989

`CHECK` fail in `MaxPool` in TensorFlow

5.9 CVSS

Vulnerability Description

TensorFlow is an open source platform for machine learning. When `MaxPool` receives a window size input array `ksize` with dimensions greater than its input tensor `input`, the GPU kernel gives a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 32d7bd3defd134f21a4e344c8dfd40099aaf6b18. 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.

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Credits & Attribution

No credits recorded in the NVD database.

References

More from tensorflow

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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

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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