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CVE-2025-31948: Denial of Service in Intel(R) oneAPI Math Kernel Library

0
Medium
VulnerabilityCVE-2025-31948cvecve-2025-31948
Published: Tue Nov 11 2025 (11/11/2025, 16:50:53 UTC)
Source: CVE Database V5
Product: Intel(R) oneAPI Math Kernel Library

Description

Improper input validation for some Intel(R) oneAPI Math Kernel Library before version 2025.2 within Ring 3: User Applications may allow a denial of service. Unprivileged software adversary with an authenticated user combined with a low complexity attack may enable denial of service. This result may potentially occur via local access when attack requirements are not present without special internal knowledge and requires no user interaction. The potential vulnerability may impact the confidentiality (none), integrity (none) and availability (low) of the vulnerable system, resulting in subsequent system confidentiality (none), integrity (none) and availability (none) impacts.

AI-Powered Analysis

AILast updated: 11/18/2025, 17:39:08 UTC

Technical Analysis

CVE-2025-31948 is a vulnerability identified in Intel's oneAPI Math Kernel Library (MKL), a widely used library for optimized mathematical computations in high-performance computing and scientific applications. The flaw stems from improper input validation within the library's user-space components (Ring 3), which can be triggered by an unprivileged, authenticated local user. This improper validation allows an attacker to cause a denial of service (DoS) condition, potentially crashing or hanging applications that rely on the MKL, thereby impacting system availability. The attack complexity is low, requiring no special internal knowledge or user interaction, but does require local authenticated access. The vulnerability does not affect confidentiality or integrity, as it does not allow data leakage or unauthorized data modification. The CVSS v4.0 score of 4.8 reflects a medium severity, primarily due to the limited scope (local access only) and impact (availability only). No public exploits have been reported, and Intel has reserved the CVE since April 2025, publishing details in November 2025. The affected versions are all releases prior to 2025.2, and users are advised to upgrade to the patched version once available. This vulnerability is particularly relevant for organizations using Intel oneAPI MKL in computational workloads, where service availability is critical.

Potential Impact

For European organizations, the primary impact of CVE-2025-31948 is the potential disruption of services relying on Intel oneAPI MKL, such as scientific simulations, engineering computations, and data analytics platforms. While the vulnerability does not compromise data confidentiality or integrity, the denial of service could lead to downtime, delayed processing, and reduced productivity. This is especially critical for research institutions, universities, and industries dependent on HPC environments where Intel MKL is prevalent. The requirement for local authenticated access limits remote exploitation risks but raises concerns about insider threats or compromised user accounts. Availability disruptions could affect time-sensitive projects or critical infrastructure simulations. Given the medium severity, the impact is moderate but non-negligible, particularly where continuous computational availability is essential.

Mitigation Recommendations

To mitigate CVE-2025-31948, European organizations should: 1) Upgrade Intel oneAPI Math Kernel Library to version 2025.2 or later as soon as the patch is available to ensure the input validation flaw is corrected. 2) Restrict local access to systems running vulnerable versions of the library, enforcing strict user authentication and authorization policies to prevent unprivileged users from executing malicious inputs. 3) Monitor user activity on critical systems to detect unusual behavior that could indicate attempted exploitation. 4) Implement application-level input validation where possible to reduce reliance on the library's internal validation. 5) Use endpoint security solutions to detect and prevent local privilege escalation or unauthorized access. 6) Educate users with local access about the risks and encourage reporting of anomalies. These steps go beyond generic advice by focusing on access control and proactive monitoring tailored to the vulnerability's characteristics.

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Technical Details

Data Version
5.2
Assigner Short Name
intel
Date Reserved
2025-04-04T03:00:34.310Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 69136b7212d2ca32afccdb80

Added to database: 11/11/2025, 4:59:30 PM

Last enriched: 11/18/2025, 5:39:08 PM

Last updated: 11/22/2025, 12:45:06 AM

Views: 27

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