The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization (CWE-502) in its model serving component. When starting a model server with the ludwig serve command, the framework loads model weight files using torch.load() without enabling the security-restrictive weights_only=True parameter. This default behavior allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by providing a maliciously crafted PyTorch model file, leading to arbitrary code execution on the system hosting the Ludwig model server.
Metrics
Affected Vendors & Products
References
History
Wed, 13 May 2026 11:00:00 +0000
| Type | Values Removed | Values Added |
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| First Time appeared |
Ludwig-ai
Ludwig-ai ludwig |
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| Vendors & Products |
Ludwig-ai
Ludwig-ai ludwig |
Tue, 12 May 2026 18:45:00 +0000
| Type | Values Removed | Values Added |
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| Title | Insecure Deserialization in Ludwig Model Serving Enables Arbitrary Code Execution | |
| Weaknesses | CWE-502 |
Tue, 12 May 2026 17:30:00 +0000
| Type | Values Removed | Values Added |
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| Description | The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization (CWE-502) in its model serving component. When starting a model server with the ludwig serve command, the framework loads model weight files using torch.load() without enabling the security-restrictive weights_only=True parameter. This default behavior allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by providing a maliciously crafted PyTorch model file, leading to arbitrary code execution on the system hosting the Ludwig model server. | |
| References |
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Status: PUBLISHED
Assigner: mitre
Published: 2026-05-12T00:00:00.000Z
Updated: 2026-05-12T17:15:17.362Z
Reserved: 2026-03-09T00:00:00.000Z
Link: CVE-2026-31238
No data.
Status : Received
Published: 2026-05-12T18:16:52.210
Modified: 2026-05-12T18:16:52.210
Link: CVE-2026-31238
No data.