Code execution via configuration-triggered unsafe deserialization
Published Sep 19, 2025 · Updated Sep 19, 2025
Code execution in Model.load_model in Keras 3.0.0 through 3.10.0 allows attackers to run Python code via a crafted .keras archive. The archive config is parsed before layer deserialization, allowing config.json to invoke keras.config.enable_unsafe_deserialization() before a Lambda layer deserializes attacker-controlled code. Execution requires a user or local process to load the untrusted model, and the code runs with that process's privileges.
Summary
What happened
Code execution in Model.load_model in Keras 3.0.0 through 3.10.0 allows attackers to run Python code via a crafted .keras archive. The archive config is parsed before layer deserialization, allowing config.json to invoke keras.config.enable_unsafe_deserialization() before a Lambda layer deserializes attacker-controlled code. Execution requires a user or local process to load the untrusted model, and the code runs with that process's privileges.
The record
- CVE
- CVE-2025-9906
- Published
- Sep 19, 2025
- Updated
- Sep 19, 2025
- Vendor
- Keras
- Product
- Keras
- Classifications
- CWE-502, T1204.002
- Attack vector
- local
- Privileges
- Unavailable
Timeline
How it unfolded
- Sep 19, 2025CVE publishedPublication date reported by the CVE source.
- Sep 19, 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?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=3.0.0 <3.11.0
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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