CVE-2026-20728: Escalation of Privilege in Intel Extension for TensorFlow software
CVE-2026-20728 is a medium severity vulnerability in Intel Extension for TensorFlow software before version 2.15.0.3. It involves a protection mechanism failure that may allow escalation of privilege by a system software adversary with privileged user access. The attack requires local access, low complexity, and passive user interaction. The vulnerability impacts confidentiality, integrity, and availability at a high level within the vulnerable system context.
AI Analysis
Technical Summary
This vulnerability in Intel Extension for TensorFlow software before version 2.15.0.3 is due to a protection mechanism failure within Ring 3 user applications. A system software adversary with privileged user rights can exploit this vulnerability via local access with low attack complexity and passive user interaction to escalate privileges. The CVSS 4.0 vector indicates local attack vector, low complexity, privileged required, partial user interaction, and high impact on confidentiality, integrity, and availability within the vulnerable component. No special internal knowledge is required for exploitation.
Potential Impact
The vulnerability allows escalation of privilege which can lead to high impact on confidentiality, integrity, and availability of the vulnerable system. However, the subsequent system-wide confidentiality, integrity, and availability impacts are reported as none. This suggests the impact is contained within the vulnerable software context and does not extend beyond it.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. No official fix or temporary fix has been reported. Until a patch is available, limit local privileged user access and monitor for unusual privilege escalation attempts. Follow vendor guidance once available.
CVE-2026-20728: Escalation of Privilege in Intel Extension for TensorFlow software
Description
CVE-2026-20728 is a medium severity vulnerability in Intel Extension for TensorFlow software before version 2.15.0.3. It involves a protection mechanism failure that may allow escalation of privilege by a system software adversary with privileged user access. The attack requires local access, low complexity, and passive user interaction. The vulnerability impacts confidentiality, integrity, and availability at a high level within the vulnerable system context.
CVSS v4.0
Score 5.4medium
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability in Intel Extension for TensorFlow software before version 2.15.0.3 is due to a protection mechanism failure within Ring 3 user applications. A system software adversary with privileged user rights can exploit this vulnerability via local access with low attack complexity and passive user interaction to escalate privileges. The CVSS 4.0 vector indicates local attack vector, low complexity, privileged required, partial user interaction, and high impact on confidentiality, integrity, and availability within the vulnerable component. No special internal knowledge is required for exploitation.
Potential Impact
The vulnerability allows escalation of privilege which can lead to high impact on confidentiality, integrity, and availability of the vulnerable system. However, the subsequent system-wide confidentiality, integrity, and availability impacts are reported as none. This suggests the impact is contained within the vulnerable software context and does not extend beyond it.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. No official fix or temporary fix has been reported. Until a patch is available, limit local privileged user access and monitor for unusual privilege escalation attempts. Follow vendor guidance once available.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- intel
- Date Reserved
- 2025-12-19T04:00:14.877Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a7b5468bf8831d53910695a
Added to database: 08/11/2026, 16:57:12 UTC
Last enriched: 08/12/2026, 00:28:09 UTC
Last updated: 08/12/2026, 00:28:09 UTC
Views: 2
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