CVE-2026-20728 in Extension for TensorFlow
Summary
by MITRE • 08/11/2026
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.
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Analysis
by VulDB Data Team • 08/11/2026
This vulnerability represents a critical protection mechanism failure within Intel's Extension for TensorFlow software affecting versions prior to 2.15.0.3. The flaw exists specifically within Ring 3 user applications, creating a pathway for privilege escalation that could be exploited by adversaries with elevated user privileges. The vulnerability stems from insufficient access controls and security boundaries within the software implementation, allowing malicious code execution that bypasses normal privilege restrictions. According to CWE classification, this manifests as a weakness in protection mechanisms where the system fails to properly enforce security policies at the application level.
The technical nature of this flaw involves improper handling of privilege levels and memory management within the Intel TensorFlow extension framework. Attackers with existing user-level access can leverage this vulnerability to elevate their privileges to system-level access, potentially gaining unrestricted control over affected systems. The attack complexity is rated as low, indicating that the exploitation method does not require specialized knowledge or sophisticated techniques beyond what a determined attacker might possess. This vulnerability's operational impact extends across all three fundamental security properties as defined by the confidentiality integrity and availability triad.
The attack scenario requires an adversary to already have user-level access to the system but can then leverage this vulnerability to escalate privileges through local access methods. The requirement for passive user interaction suggests that the exploitation may occur during normal application usage patterns rather than requiring active participation from the user in a malicious manner. This characteristic makes the vulnerability particularly dangerous as it could be exploited without the user's knowledge or consent, potentially leading to covert privilege escalation attacks.
The severity impact assessment reveals high potential damage to system confidentiality integrity and availability, indicating that successful exploitation could result in complete compromise of these security properties. The subsequent system impacts showing none for all three categories suggests that while the vulnerability itself has high risk potential, the overall system degradation might be more subtle but still critically damaging. This vulnerability aligns with ATT&CK technique T1068 which involves privilege escalation through local exploitation methods and represents a significant concern for organizations relying on machine learning frameworks in their security infrastructure.
Mitigation strategies should focus on immediate deployment of Intel's updated TensorFlow extension software version 2.15.0.3 or later, which addresses the underlying protection mechanism failures. Organizations should also implement comprehensive monitoring for unauthorized privilege escalation attempts and conduct regular security assessments of machine learning environments. Additional protective measures include restricting user access privileges where possible and implementing robust application sandboxing techniques to limit potential impact if exploitation occurs. System administrators should also consider network segmentation and access control policies to prevent lateral movement once initial compromise is achieved, while maintaining detailed audit logs for detection of anomalous privilege escalation activities.
The vulnerability highlights the critical importance of proper security implementation in specialized software extensions and demonstrates how seemingly minor protection mechanism failures can have significant operational consequences. This issue underscores the need for continuous security testing and validation of third-party software components, particularly those operating at user-level privileges where security boundaries may be less strictly enforced compared to kernel-level mechanisms. Organizations should also consider implementing automated patch management systems to ensure timely deployment of security updates across all affected systems.