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CVE-2022-35999

MEDIUM

5.9

Beschreibung

TensorFlow is an open source platform for machine learning. When `Conv2DBackpropInput` receives empty `out_backprop` inputs (e.g. `[3, 1, 0, 1]`), the current CPU/GPU kernels `CHECK` fail (one with dnnl, the other with cudnn). This can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 27a65a43cf763897fecfa5cdb5cc653fc5dd0346. 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-617

Referenzen

https://github.com/tensorflow/tensorflow/commit/27a65a43cf763897fecfa5cdb5cc653fc5dd0346(security-advisories@github.com)

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-37jf-mjv6-xfqw(security-advisories@github.com)

https://github.com/tensorflow/tensorflow/commit/27a65a43cf763897fecfa5cdb5cc653fc5dd0346(af854a3a-2127-422b-91ae-364da2661108)

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-37jf-mjv6-xfqw(af854a3a-2127-422b-91ae-364da2661108)

IOC Korrelationen

Keine Korrelationen erfasst

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