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CVE-2022-35996

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CVE-2022-35996

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 `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 611d80db29dd7b0cfb755772c69d60ae5bca05f9. 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-369

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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