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CVE-2022-35999

MEDIUM

5.9

Descricao

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.

Detalhes CVE

Pontuacao CVSS v3.15.9

SeveridadeMEDIUM

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

Vetor de ataqueNETWORK

ComplexidadeHIGH

Privilegios necessariosNONE

Interacao do usuarioNONE

Publicado9/16/2022

Ultima modificacao11/21/2024

Fontenvd

Avistamentos honeypot0

Produtos afetados

google:tensorflow

Fraquezas (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)

Correlacoes IOC

Sem correlacoes registradas

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