Medium [CVE-2026-12479] Path Traversal in keras-team/keras
This medium-severity Red Hat Linux advisory covers CVE-2026-12479 affecting Red Hat OpenShift AI (RHOAI).
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Summary
A path traversal vulnerability exists in keras-team/keras version 3.14.0, specifically in the `DiskIOStore.make` method within the Keras 3 model saving and loading library. This vulnerability arises from the improper handling of user-provided layer names, which are used to construct directory paths without sanitizing for parent directory components (`..`).
While forward slashes (`/`) are restricted in layer names, directory traversal sequences are not. This allows an attacker to craft a malicious Keras model that, when saved or loaded, can escape the intended temporary working directory and perform unauthorized file system operations, such as creating directories or writing files in arbitrary locations.
This path traversal vulnerability occurs due to improper handling of user-provided layer names, which allows an attacker to craft a malicious Keras model. This vulnerability requires user interaction to process a specially crafted Keras model.
Red Hat severity: Moderate — CVSS 6.1 (CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:L). Weakness: CWE-22.
Affected Red Hat products: Red Hat OpenShift AI (RHOAI). Red Hat does not currently list a fixing RHSA for this CVE.
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 14 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 14 days ago·verify at source
Mitigation checklist
- Users should avoid saving or loading Keras models from untrusted sources within Red Hat OpenShift AI. Ensure that all Keras models processed originate from trusted repositories or have been thoroughly vetted for integrity. Implementing strict access controls and sandboxing for environments handling Keras model operations can further limit the potential impact. If the service is reloaded or restarted, these operational controls will remain in effect.
Official advisory · high-confidence parse· fetched 14 days ago·verify at source
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