CVE-2026-20728
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Protection Mechanism Failure in Intel Extension for TensorFlow

Vulnerability report for CVE-2026-20728, including description, CVSS score, EPSS score, affected products, exploitability, helpful resources, and attack-flow context.

Publication date: 2026-08-11

Last updated on: 2026-08-12

Assigner: Intel Corporation

Description

Protection mechanism failure for some Intel Extension for TensorFlow software before version 2.15.0.3 within Ring 3: User Applications may allow an escalation of privilege. System software adversary with a privileged user combined with a low complexity attack may enable escalation of privilege. This result may potentially occur via local access when attack requirements are present without special internal knowledge and requires passive user interaction. The potential vulnerability may impact the confidentiality (high), integrity (high) and availability (high) of the vulnerable system, resulting in subsequent system confidentiality (none), integrity (none) and availability (none) impacts.

CVSS Scores

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Meta Information

Published
2026-08-11
Last Modified
2026-08-12
Generated
2026-09-01
AI Q&A
2026-08-12
EPSS Evaluated
2026-08-30
NVD
EUVD

Affected Vendors & Products

Showing 1 associated CPE
Vendor Product Version / Range
intel extension_for_tensorflow to 2.15.0.3 (exc)

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-693 The product does not use or incorrectly uses a protection mechanism that provides sufficient defense against directed attacks against the product.

Attack-Flow Graph

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Executive Summary

This is a privilege escalation vulnerability in Intel Extension for TensorFlow software before version 2.15.0.3. A system software adversary with privileged user access could exploit it via local access with low complexity and passive user interaction. It may allow an attacker to gain higher privileges than intended.

Detection Guidance

This vulnerability is specific to Intel Extension for TensorFlow before version 2.15.0.3 and requires privileged user access combined with local attack conditions. Detection primarily involves checking the installed TensorFlow version and system access logs. No direct network detection commands are applicable due to the local privilege escalation nature of the issue.

Impact Analysis

If exploited, this vulnerability could lead to unauthorized access to sensitive data, system manipulation, or disruption of services. It may compromise confidentiality, integrity, and availability of the system, potentially causing significant operational and security risks.

Compliance Impact

This vulnerability may impact confidentiality, integrity, and availability of systems, which are critical for compliance with standards like GDPR and HIPAA. However, the provided CVE details do not specify direct compliance impacts or regulatory implications.

Mitigation Strategies

Update Intel Extension for TensorFlow to version 2.15.0.3 or later to address the protection mechanism failure.

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