High [CVE-2026-12481] Arbitrary code execution via deserialization vulnerability
This high-severity Red Hat Linux advisory covers CVE-2026-12481 affecting Red Hat OpenShift AI 3.4, Red Hat OpenShift AI (RHOAI).
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Summary
A vulnerability in keras-team/keras version 3.14.0 allows for arbitrary code execution due to improper handling of deserialization in the `Lambda` layer.
Specifically, the `_raise_for_lambda_deserialization()` function fails to enforce the safe-mode guard when `safe_mode` is set to `None`, which is the default value when `from_config()` is called outside of a `SafeModeScope` context.
This logic error conflates `None` (unset/default-deny) with `False` (explicitly disabled), bypassing the guard and allowing attacker-controlled `marshal` bytecode to be deserialized.
Affected call sites include `keras.layers.deserialize(config)`, `keras.models.clone_model(model)`, and any direct invocation of `Lambda.from_config(config)` without an enclosing `SafeModeScope(True)`. This vulnerability can be exploited to achieve arbitrary OS-level code execution in the context of the server or user process.
A flaw was found in the Keras deep learning library. Specifically, a security safeguard designed to prevent unsafe deserialization is bypassed when the `safe_mode` setting is not explicitly enabled, allowing malicious code to be processed.
This can lead to complete compromise of the affected server or user process. Exploitation requires user interaction, such as loading a specially crafted Keras model.
Red Hat severity: Important — CVSS 8.8 (CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H).
Affected versions
No affected-version range was extracted from the source record. The vendor advisory is authoritative — check it before change work.
Official advisory · high-confidence parse· fetched 21 days ago·verify at source
- rhoai/odh-kserve-storage-initializer-rhel9:1787073479
- RHSA-2026:60520
Official advisory · high-confidence parse· fetched 21 days ago·verify at source
Mitigation checklist
- To reduce exposure, only deserialize Keras models from trusted sources. When deserializing models, explicitly enable `safe_mode` by wrapping the deserialization call within a `SafeModeScope(True)` context. This ensures the deserialization safeguard is enforced, preventing the execution of arbitrary code.
Official advisory · high-confidence parse· fetched 21 days ago·verify at source
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