Vulnerabilites related to Keras-team - Keras
CVE-2025-9906 (GCVE-0-2025-9906)
Vulnerability from cvelistv5
Published
2025-09-19 08:15
Modified
2025-09-20 03:55
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-502 - Deserialization of Untrusted Data
Summary
The Keras Model.load_model method can be exploited to achieve arbitrary code execution, even with safe_mode=True.
One can create a specially crafted .keras model archive that, when loaded via Model.load_model, will trigger arbitrary code to be executed. This is achieved by crafting a special config.json (a file within the .keras archive) that will invoke keras.config.enable_unsafe_deserialization() to disable safe mode. Once safe mode is disable, one can use the Lambda layer feature of keras, which allows arbitrary Python code in the form of pickled code. Both can appear in the same archive. Simply the keras.config.enable_unsafe_deserialization() needs to appear first in the archive and the Lambda with arbitrary code needs to be second.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/keras-team/keras/pull/21429 | patch |
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| Keras-team | Keras |
Version: 3.0.0 ≤ |
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CVE-2025-9905 (GCVE-0-2025-9905)
Vulnerability from cvelistv5
Published
2025-09-19 08:16
Modified
2025-09-20 03:55
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-913 - Improper Control of Dynamically-Managed Code Resources
Summary
The Keras Model.load_model method can be exploited to achieve arbitrary code execution, even with safe_mode=True.
One can create a specially crafted .h5/.hdf5 model archive that, when loaded via Model.load_model, will trigger arbitrary code to be executed.
This is achieved by crafting a special .h5 archive file that uses the Lambda layer feature of keras which allows arbitrary Python code in the form of pickled code. The vulnerability comes from the fact that the safe_mode=True option is not honored when reading .h5 archives.
Note that the .h5/.hdf5 format is a legacy format supported by Keras 3 for backwards compatibility.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| Keras-team | Keras |
Version: 3.0.0 ≤ 3.11.2 |
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