Code execution via unsafe GLM4 weight deserialization
Published Dec 23, 2025 · Updated Dec 23, 2025
Deserialization of untrusted data in Hugging Face Transformers 4.57.1 allows attackers to execute code through a malicious GLM4 model file. The GLM4 weight parser accepts attacker-controlled serialized weight data without adequately validating it before deserialization. Exploitation requires the target to open the file or visit attacker-controlled content, and the resulting code runs in the current process.
Summary
What happened
Deserialization of untrusted data in Hugging Face Transformers 4.57.1 allows attackers to execute code through a malicious GLM4 model file. The GLM4 weight parser accepts attacker-controlled serialized weight data without adequately validating it before deserialization. Exploitation requires the target to open the file or visit attacker-controlled content, and the resulting code runs in the current process.
The record
- CVE
- CVE-2025-14930
- Published
- Dec 23, 2025
- Updated
- Dec 23, 2025
- Vendor
- Hugging Face
- Product
- Transformers
- 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
Present is not the same as exploitable
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Is a vulnerable build present?
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- Affected versionversion=4.57.1
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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