Code execution via untrusted checkpoint deserialization
Published Dec 23, 2025 · Updated Dec 23, 2025
Deserialization in Tencent Hunyuan-DiT allows remote attackers to execute arbitrary code by supplying a malicious model checkpoint. The model_resume function passes unvalidated checkpoint content to PyTorch deserialization; the corrective commit raises PyTorch to 2.7.1 to use safer loading behavior. Execution requires the target to open the file or visit attacker-controlled content, and the payload runs in the Hunyuan-DiT process context, reported as root.
Summary
What happened
Deserialization in Tencent Hunyuan-DiT allows remote attackers to execute arbitrary code by supplying a malicious model checkpoint. The model_resume function passes unvalidated checkpoint content to PyTorch deserialization; the corrective commit raises PyTorch to 2.7.1 to use safer loading behavior. Execution requires the target to open the file or visit attacker-controlled content, and the payload runs in the Hunyuan-DiT process context, reported as root.
The record
- CVE
- CVE-2025-13707
- Published
- Dec 23, 2025
- Updated
- Dec 23, 2025
- Vendor
- Tencent
- Product
- Hunyuan-DiT
- Classifications
- CWE-502, T1203
- 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=949065b08413ff57b4e1c01ac21dbf01f782f67a
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What is affected?
Published CVSS scores
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Attacks
What attackers are doing with it
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Weakness, pattern, technique
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Technologies
Your stack
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Your stack
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