CVE-2026-12480
Description
A flaw was found in Keras. An attacker can craft a malicious model archive or weights file containing a Virtual Dataset (VDS) that references external files on a victim's system. When a user loads this malicious model, the external file is transparently read. This vulnerability leads to information disclosure, allowing an attacker to access sensitive data from the victim's filesystem.
Statement
Moderate: This information disclosure flaw in Keras affects Red Hat OpenShift AI components that utilize Keras. The vulnerability allows an attacker to read arbitrary files on the victim's system if a malicious Keras model archive or weights file containing a Virtual Dataset (VDS) is loaded. Exploitation requires user interaction, specifically loading an untrusted model, which limits the attack vector to scenarios where users process external, potentially malicious, model files.
Common Vulnerability Scoring System (CVSS) Score Details
Info alert:Important note
CVSS scores for open source components depend on vendor-specific factors (e.g. version or build chain). Therefore, Red Hat's score and impact rating can be different from NVD and other vendors. Red Hat remains the authoritative CVE Naming Authority (CNA) source for its products and services (see Red Hat classifications).
The following CVSS metrics and score provided are preliminary and subject to review.
CVSS v3 Score Breakdown
| Red Hat | NVD | cve.org | |
|---|---|---|---|
| Base Score | 5.5 | N/A | 5.5 |
| Attack Vector | Local | N/A | Local |
| Attack Complexity | Low | N/A | Low |
| Privileges Required | None | N/A | None |
| User Interaction | Required | N/A | Required |
| Scope | Unchanged | N/A | Unchanged |
| Confidentiality | High | N/A | High |
| Integrity Impact | None | N/A | None |
| Availability Impact | None | N/A | None |
Vector
Red Hat: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
cve.org: CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
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