TROYANOSYVIRUS
Retour aux CVEs

CVE-2022-35985

MEDIUM
5.9

Description

TensorFlow is an open source platform for machine learning. If `LRNGrad` is given an `output_image` input tensor that is not 4-D, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bd90b3efab4ec958b228cd7cfe9125be1c0cf255. 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.

Details CVE

Score CVSS v3.15.9
SeveriteMEDIUM
Vecteur CVSSCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
Vecteur d'attaqueNETWORK
ComplexiteHIGH
Privileges requisNONE
Interaction utilisateurNONE
Publie9/16/2022
Derniere modification11/21/2024
Sourcenvd
Observations honeypot0

Produits affectes

google:tensorflow

Faiblesses (CWE)

CWE-617

Correlations IOC

Aucune correlation enregistree

This product uses data from the NVD API but is not endorsed or certified by the NVD.