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CVE-2022-35985

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CVE-2022-35985

Published: Sep 16, 2022

Modified: Apr 23, 2025

PUBLISHED

CVSS v3.1

5.9

MEDIUM

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.

VendorProductVersions

tensorflow

tensorflow

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

Weaknesses (CWE)

CWE-617

CVSS v3.1 Details

CVSS v3.1 Vector

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

Attack Vector

Network

Attack Complexity

High

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

None

Integrity

None

Availability

High

References

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