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CVE-2022-35996

MEDIUM

5.9

Beschreibung

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.

CVE Details

CVSS v3.1 Bewertung5.9

SchweregradMEDIUM

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

AngriffsvektorNETWORK

KomplexitatHIGH

Erforderliche PrivilegienNONE

BenutzerinteraktionNONE

Veroffentlicht9/16/2022

Zuletzt geandert11/21/2024

Quellenvd

Honeypot-Sichtungen0

Betroffene Produkte

google:tensorflow

Schwachen (CWE)

CWE-369

Referenzen

https://github.com/tensorflow/tensorflow/commit/611d80db29dd7b0cfb755772c69d60ae5bca05f9(security-advisories@github.com)

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q5jv-m6qw-5g37(security-advisories@github.com)

https://github.com/tensorflow/tensorflow/commit/611d80db29dd7b0cfb755772c69d60ae5bca05f9(af854a3a-2127-422b-91ae-364da2661108)

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q5jv-m6qw-5g37(af854a3a-2127-422b-91ae-364da2661108)

IOC Korrelationen

Keine Korrelationen erfasst

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