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Optimate CVE-2026-31218

| EUVD-2026-29502 HIGH
Deserialization of Untrusted Data (CWE-502)
2026-05-12 mitre GHSA-q2mf-qjjq-ghcc
8.8
CVSS 3.1
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CVSS VectorNVD

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

Lifecycle Timeline

3
Analysis Generated
May 15, 2026 - 15:22 vuln.today
CVSS changed
May 15, 2026 - 15:22 NVD
8.8 (None) 8.8 (HIGH)
CVE Published
May 12, 2026 - 00:00 nvd
UNKNOWN (no severity yet)

DescriptionNVD

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 loading a model state dictionary from a state_dict.pt file via torch.load(), the function does not enable 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 state_dict.pt file within a directory specified via the --model argument, leading to arbitrary code execution during the deserialization process on the victim's system.

AnalysisAI

Remote code execution in Optimate's neural_magic_training.py script allows authenticated attackers to execute arbitrary code via malicious PyTorch model files. The vulnerability stems from unsafe deserialization when loading model state dictionaries without PyTorch's weights_only=True security flag, enabling pickle-based arbitrary object execution. …

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RemediationAI

Within 24 hours: Disable or restrict model file upload functionality in Optimate to authorized personnel only; audit access logs for any model uploads in the past 90 days. Within 7 days: Implement network segmentation isolating Optimate instances from critical systems; require code review of all external model sources before loading. …

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CVE-2026-31218 vulnerability details – vuln.today

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