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CVE-2022-35996

MEDIUM

5.9

Descricao

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.

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-369

Referencias

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)

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