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HIGHCVE-2026-31219Published Modified CNA mitre

CVE-2026-31219: The _load_model() function in the neural_magic_training

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.

Metrics

CVSS v3.1
8.8
Severity
HIGH
Fixed in
Affected Products
1
Affected packages
  • n/a / n/a
    n/a
CVSS Vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
CVE-2026-31219: The _load_model() function in the neural_magic_training | HarborGuard CVE