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CVE-2022-35979

MEDIUM

5.9

Descricao

TensorFlow is an open source platform for machine learning. If `QuantizedRelu` or `QuantizedRelu6` are given nonscalar inputs for `min_features` or `max_features`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89. 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-20

Referencias

https://github.com/tensorflow/tensorflow/commit/49b3824d83af706df0ad07e4e677d88659756d89(security-advisories@github.com)

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v7vw-577f-vp8x(security-advisories@github.com)

https://github.com/tensorflow/tensorflow/commit/49b3824d83af706df0ad07e4e677d88659756d89(af854a3a-2127-422b-91ae-364da2661108)

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v7vw-577f-vp8x(af854a3a-2127-422b-91ae-364da2661108)

Correlacoes IOC

Sem correlacoes registradas

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