ONNX: Malicious ONNX models can crash servers by exploiting unprotected object settings. (onnx onnx)

CVE-2026-34445
HIGH 8.6

En bref

Source
NVD
EPSS
EPSS 0.29 % · centile 22 ()
État
PUBLISHED
Publiée
Mise à jour
Attribuée par
GitHub_M
Statut NVD
Analyzed

Description

Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, the ExternalDataInfo class in ONNX was using Python’s setattr() function to load metadata (like file paths or data lengths) directly from an ONNX model file. It didn’t check if the "keys" in the file were valid. Due to this, an attacker could craft a malicious model that overwrites internal object properties. This issue has been patched in version 1.21.0.

Faiblesses (CWE)

  • CWE-20 — Validation d'entrée incorrecte
  • CWE-400 — Consommation de ressources non maîtrisée (déni de service)
  • CWE-915 — Affectation de masse

Références

Scores

VersionScoreVecteurÉvalué par
CVSS 3.1HIGH 8.6CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:HGitHub_M
CVSS 3.1HIGH 8.6CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:HNVD · security-advisories@github.com (Secondary)

Avis

Références européennes

Avis du CERT-FR

Configurations affectées (CPE NVD)

Produits affectés

ProduitVersions
onnx · onnxaffected < 1.21.0

Sources

SourceLicence
CVE List (CVEProject cvelistV5)CVE Program Terms of Use
EPSS (FIRST.org)FIRST — attribution requested
ENISA EUVDENISA — reproduction authorised, source acknowledged
CERT-FR (ANSSI)Licence Ouverte / Etalab 2.0
NVD (NIST) via fkie-cad/nvd-json-data-feedsPublic domain — this product uses data from the NVD API but is not endorsed or certified by the NVD