User-assisted root code execution via model deserialization
Published Dec 23, 2025 · Updated Dec 23, 2025
Deserialization in Tencent MedicalNet allows remote attackers to execute code as root through a malicious pretrained-model file. The generate_model function passes pretrain_path to torch.load without weights-only restrictions, allowing pickle payloads to instantiate attacker-controlled objects during loading. Execution requires a target to open or visit attacker-controlled content that supplies a crafted model file, and the payload runs with the invoking process's privileges.
Summary
What happened
Deserialization in Tencent MedicalNet allows remote attackers to execute code as root through a malicious pretrained-model file. The generate_model function passes pretrain_path to torch.load without weights-only restrictions, allowing pickle payloads to instantiate attacker-controlled objects during loading. Execution requires a target to open or visit attacker-controlled content that supplies a crafted model file, and the payload runs with the invoking process's privileges.
The record
- CVE
- CVE-2025-13714
- Published
- Dec 23, 2025
- Updated
- Dec 23, 2025
- Vendor
- Tencent
- Product
- MedicalNet
- Classifications
- CWE-502, T1204.002
- Attack vector
- local
- Privileges
- unauthenticated
Timeline
How it unfolded
- Dec 23, 2025CVE publishedPublication date reported by the CVE source.
- Dec 23, 2025Record updatedLatest update available in the CVE record.
Exploitability
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- Affected versionversion=18c8bb6cd564eb1b964bffef1f4c2283f1ae6e7b
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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