CVE-2022-35941 — HIGH (CVSS 7.5) AI Security Vulnerability

TensorFlow is an open source platform for machine learning. The `AvgPoolOp` function takes an argument `ksize` that must be positive but is not checked. A negative `ksize` can trigger a `CHECK`...

Full analysis pending. Showing NVD description excerpt.

Affected Systems

Package	Ecosystem	Vulnerable Range	Patched
tensorflow	pip	—	No patch
tensorflow	pip	—	No patch
tensorflow	pip	—	No patch
tensorflow	pip	—	No patch
tensorflow	pip	—	No patch
tensorflow	pip	—	No patch
tensorflow	pip	—	No patch

Severity & Risk

CVSS 3.1

7.5 / 10

EPSS

N/A

KEV Status

Not in KEV

Sophistication

N/A

Recommended Action

No patch available

Monitor for updates. Consider compensating controls or temporary mitigations.

Compliance Impact

Compliance analysis pending. Sign in for full compliance mapping when available.

Technical Details

NVD Description

TensorFlow is an open source platform for machine learning. The `AvgPoolOp` function takes an argument `ksize` that must be positive but is not checked. A negative `ksize` can trigger a `CHECK` failure and crash the program. We have patched the issue in GitHub commit 3a6ac52664c6c095aa2b114e742b0aa17fdce78f. 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 to this issue.

Weaknesses (CWE)

CWE-617

CVSS Vector

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

References

Timeline

Published

September 16, 2022

Last Modified

November 21, 2024

First Seen

September 16, 2022