GHSA-f5xg-pvfx-vwh9 · Severity: high — The _load_model() function in the neural_magic_training.py script of the optimate project in...
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.
Conclusion & alert: CVE-2026-31219 is rated Moderate Risk (47.9/100): CVSS High severity, with low exploitation likelihood (EPSS 0.16%). Mandatory action: Review affected assets and schedule remediation.
Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.
EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).
| # | Date | Old EPSS score | New EPSS score | Delta (New - Old) |
|---|---|---|---|---|
| 1 | 2026-05-22 | 0.46% | 0.16% | -0.30% |
| 2 | 2026-05-18 | 0.42% | 0.46% | +0.05% |
| 3 | 2026-05-16 | — | 0.42% | — |
Full EPSS history (4 records total)
CVSS metrics for this CVE.
| Base score | Version | Severity | Vector | Exploitability | Impact | Score source |
|---|---|---|---|---|---|---|
| 8.8 | 3.1 | HIGH |
|
2.8 | 5.9 | 134c704f-9b21-4f2e-91b3-4a467353bcc0 |
GHSA-f5xg-pvfx-vwh9 · Severity: high — The _load_model() function in the neural_magic_training.py script of the optimate project in...
| Vendor | Product | Version | Raw CPE |
|---|---|---|---|
| No affected products in dataset. | |||