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CVE-2022-35996

nvd nist
Published: Sep 16, 2022Modified: Jun 17, 2026

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7.5
Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Exploitability: 3.9 / Impact: 3.6
Source: NVD

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.

Affected (7)

Products: Google: Tensorflow
1 product
Tensorflow
Configuration A
7 vulnerable
Vulnerable SoftwareAffected Versions
Google
Before 2.7.2
From 2.8.0 to 2.8.1
From 2.9.0 to 2.9.1
Version 2.10 rc0
Version 2.10 rc1
Version 2.10 rc2
Version 2.10 rc3

References (4)

Source: security-advisories@github.com
PatchThird Party Advisory
Source: security-advisories@github.com
Third Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
PatchThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
Third Party Advisory

Timeline

No history available yet.