High [CVE-2026-12484] Arbitrary code execution via unsafe deserialization of PyTorch data
This high-severity Red Hat Linux advisory covers CVE-2026-12484 affecting Red Hat OpenShift AI (RHOAI).
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Summary
A vulnerability in keras-team/keras version 3.15.0 allows unsafe deserialization of attacker-controlled PyTorch pickle data through the public `keras.layers. TorchModuleWrapper.from_config` method.
This method invokes `torch.load(..., weights_only=False)` without requiring an explicit unsafe opt-in, such as a `safe_mode=False` parameter. When called outside a `SafeModeScope(True)` context, the absence of an ambient safe mode state permits unsafe deserialization by default.
This issue can lead to arbitrary code execution if untrusted Keras layer configurations are processed using this method. The vulnerability arises because the method does not enforce safe deserialization practices unless explicitly guarded by Keras safe mode.
This occurs because the method does not enforce safe deserialization practices by default, potentially allowing malicious code to run on the system. This Important vulnerability affects Red Hat OpenShift AI components utilizing Keras for model processing.
This risk is present when users process external or unverified model configurations within their OpenShift AI deployments. Red Hat severity: Important — CVSS 7.8 (CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H).
Weakness: CWE-502. Affected Red Hat products: Red Hat OpenShift AI (RHOAI).
Red Hat does not currently list a fixing RHSA for this CVE.
- 3.15.0
Official advisory · high-confidence parse· fetched 8 days ago·verify at source
Fixed versions
No fixed release is recorded yet. That does not prove no patch exists. Confirm against the vendor advisory.
Official advisory · high-confidence parse· fetched 8 days ago·verify at source
Mitigation checklist
- To mitigate this issue, ensure that Red Hat OpenShift AI environments only process Keras layer configurations from trusted sources. Avoid loading or processing any untrusted Keras layer configurations, as this vulnerability can lead to arbitrary code execution.
Official advisory · high-confidence parse· fetched 8 days ago·verify at source
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