Red Hat Security Advisory: Red Hat Enterprise Linux AI 1.5 (Intel Gaudi)
Red Hat® Enterprise Linux® AI is a foundation model platform to seamlessly develop, test, and run Granite family large language models (LLMs) for enterprise applications. This container provides NVIDIA hardware enablement and the InstructLab application stack.
AI Analysis
Technical Summary
The vulnerability identified in Red Hat Enterprise Linux AI 1.5 (Intel Gaudi) involves the Pillow image processing library, which is used within the platform's container for NVIDIA hardware enablement and the InstructLab application stack. The flaw (CVE-2025-48379) is a heap-based buffer overflow caused by insufficient size checking when writing DDS image data, allowing a local attacker to execute arbitrary code or cause a denial of service by crashing the application. The advisory also references CVE-2025-47277 but provides no details on it. Red Hat has rated this vulnerability as Important (high severity) but currently has no available fix or mitigation that meets their criteria for ease of use, deployment, or stability.
Potential Impact
Successful exploitation of the Pillow library vulnerability can lead to local arbitrary code execution with the privileges of the user running the affected application or cause denial of service by crashing the application. This impacts the integrity and availability of the affected system components. No known exploits are reported in the wild. The vulnerability affects the Red Hat Enterprise Linux AI 1.5 container environment, specifically the image processing functionality.
Mitigation Recommendations
Currently, Red Hat has not provided an official fix or mitigation for this vulnerability that meets their standards for deployment and stability. Users should monitor Red Hat advisories for updates. No alternative mitigations are recommended by Red Hat at this time.
Red Hat Security Advisory: Red Hat Enterprise Linux AI 1.5 (Intel Gaudi)
Description
Red Hat® Enterprise Linux® AI is a foundation model platform to seamlessly develop, test, and run Granite family large language models (LLMs) for enterprise applications. This container provides NVIDIA hardware enablement and the InstructLab application stack.
Affected software
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability identified in Red Hat Enterprise Linux AI 1.5 (Intel Gaudi) involves the Pillow image processing library, which is used within the platform's container for NVIDIA hardware enablement and the InstructLab application stack. The flaw (CVE-2025-48379) is a heap-based buffer overflow caused by insufficient size checking when writing DDS image data, allowing a local attacker to execute arbitrary code or cause a denial of service by crashing the application. The advisory also references CVE-2025-47277 but provides no details on it. Red Hat has rated this vulnerability as Important (high severity) but currently has no available fix or mitigation that meets their criteria for ease of use, deployment, or stability.
Potential Impact
Successful exploitation of the Pillow library vulnerability can lead to local arbitrary code execution with the privileges of the user running the affected application or cause denial of service by crashing the application. This impacts the integrity and availability of the affected system components. No known exploits are reported in the wild. The vulnerability affects the Red Hat Enterprise Linux AI 1.5 container environment, specifically the image processing functionality.
Mitigation Recommendations
Currently, Red Hat has not provided an official fix or mitigation for this vulnerability that meets their standards for deployment and stability. Users should monitor Red Hat advisories for updates. No alternative mitigations are recommended by Red Hat at this time.
Technical Details
- Gcve Source
- db.gcve.eu
- Csaf Category
- csaf_security_advisory
- Csaf Version
- 2.0
- Publisher
- Red Hat Product Security
- Advisory Id
- RHSA-2025:15867
- Cve Count
- 2
- Additional Cves
- ["CVE-2025-48379"]
Threat ID: 6a4049d227e9c7971982bf34
Added to database: 06/27/2026, 22:08:18 UTC
Last enriched: 08/16/2026, 18:13:56 UTC
Last updated: 09/10/2026, 19:36:50 UTC
Views: 15
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