CVE-2026-31219HIGH 8.8EPSS p42.1%

CVE-2026-31219CVE-2026-31219

Description

The _load_model() function in the neural_magic_training.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f (2024-07-21) is vulnerable to insecure deserialization (CWE-502). When a user provides a single model file path (e.g., .pt or .pth) via the --model command-line argument, the function loads the file using torch.load() without enabling the weights_only=True security parameter. This allows the deserialization of arbitrary Python objects through the Pickle module. A remote attacker can exploit this by providing a maliciously crafted model file, leading to arbitrary code execution during deserialization on the victim's system.

Scoring

CVSS 3.18.8 (HIGH)
VectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
EPSS0.56% probability of exploitation · percentile 42.1% · 2026-06-18T12:00:27Z
Published2026-05-12
Last modified2026-05-15

Underlying weaknesses· 1

CWE-502

References

  1. https://github.com/nebuly-ai/optimate
  2. https://www.notion.so/CVE-2026-31219-35d1e139318881c8a629ec19671e74c3

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.