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CVE-2022-35999

MEDIUM

5.9

Descripcion

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.

Detalles CVE

Puntuacion CVSS v3.15.9

SeveridadMEDIUM

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

Vector de ataqueNETWORK

ComplejidadHIGH

Privilegios requeridosNONE

Interaccion usuarioNONE

Publicado9/16/2022

Ultima modificacion11/21/2024

Fuentenvd

Avistamientos honeypot0

Productos afectados

google:tensorflow

Debilidades (CWE)

CWE-617

Referencias

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)

Correlaciones IOC

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