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CVE-2022-35979

MEDIUM

5.9

Beschreibung

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.

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-20

Referenzen

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)

IOC Korrelationen

Keine Korrelationen erfasst

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