CVE-2026-31229CRITICAL 9.8EPSS p44.0%

CVE-2026-31229CVE-2026-31229

Description

The Adversarial Robustness Toolbox (ART) thru 1.20.1 contains an insecure deserialization vulnerability (CWE-502) in its Kubeflow component's model loading functionality. When loading model weights from a file (e.g., model.pt) during robustness evaluation, the code uses torch.load() without the security-restrictive weights_only=True parameter. This allows the deserialization of arbitrary Python objects via the Pickle module. An attacker can exploit this by uploading a maliciously crafted model file to an object storage location referenced by the pipeline, or by controlling the model_id parameter to point to such a file. When the pipeline loads the model, the malicious payload is executed, leading to remote code execution.

Scoring

CVSS 3.19.8 (CRITICAL)
VectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS0.60% probability of exploitation · percentile 44.0% · 2026-06-18T12:00:27Z
Published2026-05-12
Last modified2026-05-13

Underlying weaknesses· 1

CWE-502

References

  1. https://github.com/Trusted-AI/adversarial-robustness-toolbox
  2. https://www.notion.so/CVE-2026-31229-35d1e13931888172863dcc20beeb6b70

1

TypeTargetConfidenceTier
WeaknessDeserialization of Untrusted Datacwe-5020%live

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Sourced from NVD + FIRST.org EPSS. Curated for EU compliance use cases by Adam Lundqvist, Founder at SQUR.