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.
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Affected Vendors & Products
References
History
Tue, 12 May 2026 18:15:00 +0000
| Type | Values Removed | Values Added |
|---|---|---|
| Title | Insecure Deserialization in Optimate Allows Arbitrary Code Execution | |
| Weaknesses | CWE-502 |
Tue, 12 May 2026 16:00:00 +0000
| Type | Values Removed | Values Added |
|---|---|---|
| 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. | |
| References |
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Status: PUBLISHED
Assigner: mitre
Published:
Updated: 2026-05-12T15:08:04.913Z
Reserved: 2026-03-09T00:00:00.000Z
Link: CVE-2026-31219
No data.
Status : Received
Published: 2026-05-12T16:16:13.813
Modified: 2026-05-12T16:16:13.813
Link: CVE-2026-31219
No data.
OpenCVE Enrichment
Updated: 2026-05-12T18:00:12Z