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CVE-2025-9906

CVE-2025-9906 · Arbitrary Code execution in Keras Safe Mode

This page contains facts from public vulnerability sources. Check the original advisory before updating.

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.

CVSS 8.6 · High · EPSS 0.2% · Fix available

Published
Updated

Stack: system · python

Affected products and versions

  • keras

    Versions
    • ≥ 3.0.0, < 3.11.0: Affected (semver)

    Update to 3.11.0

  • keras Debian:11

    Versions
    • 2.3.1+dfsg-3
    • 2.3.1+dfsg2-1
    Affected ranges
    • ECOSYSTEM: (−∞, +∞)

    No fix published

  • keras PyPI

    Versions
    • 0.2.0
    • 0.3.0
    • 0.3.1
    • 0.3.2
    • 0.3.3
    • 1.0.0
    • 1.0.1
    • 1.0.2
    • 1.0.3
    • 1.0.4
    • 1.0.5
    • 1.0.6
    • 1.0.7
    • 1.0.8
    • 1.1.0
    • 1.1.1
    • 1.1.2
    • 1.2.0
    • 1.2.1
    • 1.2.2
    • 2.0.0
    • 2.0.1
    • 2.0.2
    • 2.0.3
    • 2.0.4
    • 2.0.5
    • 2.0.6
    • 2.0.7
    • 2.0.8
    • 2.0.9
    • 2.1.0
    • 2.1.1
    • 2.1.2
    • 2.1.3
    • 2.1.4
    • 2.1.5
    • 2.1.6
    • 2.10.0
    • 2.10.0rc0
    • 2.10.0rc1
    • 2.11.0
    • 2.11.0rc0
    • 2.11.0rc1
    • 2.11.0rc2
    • 2.11.0rc3
    • 2.12.0
    • 2.12.0rc0
    • 2.12.0rc1
    • 2.13.1
    • 2.13.1rc0
    • 2.13.1rc1
    • 2.14.0
    • 2.14.0rc0
    • 2.15.0
    • 2.15.0rc0
    • 2.15.0rc1
    • 2.2.0
    • 2.2.1
    • 2.2.2
    • 2.2.3
    • 2.2.4
    • 2.2.5
    • 2.3.0
    • 2.3.1
    • 2.4.0
    • 2.4.1
    • 2.4.2
    • 2.4.3
    • 2.5.0rc0
    • 2.6.0
    • 2.6.0rc0
    • 2.6.0rc1
    • 2.6.0rc2
    • 2.6.0rc3
    • 2.7.0
    • 2.7.0rc0
    • 2.7.0rc2
    • 2.8.0
    • 2.8.0rc0
    • 2.8.0rc1
    • 2.9.0
    • 2.9.0rc0
    • 2.9.0rc1
    • 2.9.0rc2
    • 3.0.0
    • 3.0.1
    • 3.0.2
    • 3.0.3
    • 3.0.4
    • 3.0.5
    • 3.1.0
    • 3.1.1
    • 3.10.0
    • 3.2.0
    • 3.2.1
    • 3.3.0
    • 3.3.1
    • 3.3.2
    • 3.3.3
    • 3.4.0
    • 3.4.1
    • 3.5.0
    • 3.6.0
    • 3.7.0
    • 3.8.0
    • 3.9.0
    • 3.9.1
    • 3.9.2
    Affected ranges
    • ECOSYSTEM: < 3.11.0

    Update to 3.11.0

  • keras PyPI

    No fix published

  • keras Ubuntu:18.04:LTS

    Versions
    • 1.0.7-2
    • 2.1.1-1
    Affected ranges
    • ECOSYSTEM: (−∞, +∞)

    No fix published

  • keras Ubuntu:20.04:LTS

    Versions
    • 2.2.4-1
    Affected ranges
    • ECOSYSTEM: (−∞, +∞)

    No fix published

Original sources

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