Code execution via unsafe checkpoint deserialization
Published Aug 20, 2026 · Updated Aug 20, 2026
Insecure deserialization in checkpoint parsing in Hugging Face PyTorch Image Models 1.0.24 allows attackers to execute code via crafted checkpoints. The vulnerable load_state_dict, load_checkpoint, and related helper paths passed checkpoint data to torch.load with unsafe defaults, allowing pickled objects embedded in an untrusted checkpoint to be deserialized in the running process. Exploitation requires a user or application to load attacker-supplied checkpoint content; published records describe code execution in the current process and do not show a broader privilege boundary crossing.
Summary
What happened
Insecure deserialization in checkpoint parsing in Hugging Face PyTorch Image Models 1.0.24 allows attackers to execute code via crafted checkpoints. The vulnerable load_state_dict, load_checkpoint, and related helper paths passed checkpoint data to torch.load with unsafe defaults, allowing pickled objects embedded in an untrusted checkpoint to be deserialized in the running process. Exploitation requires a user or application to load attacker-supplied checkpoint content; published records describe code execution in the current process and do not show a broader privilege boundary crossing.
The record
- CVE
- CVE-2026-15679
- Published
- Aug 20, 2026
- Updated
- Aug 20, 2026
- Vendor
- Hugging Face
- Product
- PyTorch Image Models
- Classifications
- CWE-502, T1204.002
- Attack vector
- local
- Privileges
- unauthenticated
Timeline
How it unfolded
- Aug 20, 2026CVE publishedPublication date reported by the CVE source.
- Aug 20, 2026Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
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- Affected versionversion=1.0.24
What conditions does exploitation require?
What is affected?
Published CVSS scores
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Attacks
What attackers are doing with it
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Public exploit references
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Technologies
Your stack
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Your stack
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