CVE-2026-102159 in CloudVision CUE
Summary
by MITRE • 10/06/2026
An access-control flaw in the CV-CUE backend may allow an unauthenticated network attacker to access functionality intended only for internal services. Successful exploitation may expose sensitive location information or disrupt affected services.
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Analysis
by VulDB Data Team • 10/07/2026
The identified vulnerability represents a critical failure in the implementation of access control mechanisms within the CV-CUE backend infrastructure, specifically classified under CWE-284 Improper Access Control. This flaw stems from an insufficient validation of authentication credentials and authorization scopes for incoming network requests directed at specific internal endpoints. In a properly secured architecture, services designated for inter-component communication or administrative management should be restricted to trusted sources, typically via IP whitelisting, mutual TLS, or strict token-based authentication. However, the current configuration allows these sensitive interfaces to remain accessible over standard network protocols without requiring valid credentials from external entities. This misconfiguration effectively bypasses the intended security boundary between untrusted external networks and protected internal service layers, creating a direct path for unauthorized interaction with backend logic that was never designed for public or remote consumption.
From an operational perspective, this vulnerability enables an unauthenticated attacker to interact directly with functions meant exclusively for internal services. The immediate consequence of such exploitation is the potential exposure of sensitive location information, which may include precise geographic coordinates, facility locations, or user movement patterns depending on the specific data models handled by the backend. Beyond privacy violations and regulatory compliance risks associated with data leakage, the attacker gains the ability to disrupt affected services. By invoking internal endpoints that are not optimized for high-volume external traffic or lack rate-limiting protections, an adversary can induce service degradation or complete unavailability through resource exhaustion or state corruption. This dual impact of information disclosure and denial of service significantly compromises the confidentiality, integrity, and availability pillars of security for the organization relying on this system.
The attack vector aligns with ATT&CK techniques related to Initial Access via Valid Accounts if credentials are later harvested from exposed endpoints, but more critically it maps to T1078 Valid Accounts when considering the exploitation of misconfigured service accounts or API keys that might be inadvertently exposed through these internal interfaces. Furthermore, the ability to access functionality intended for internal services often facilitates lateral movement within a network environment, allowing an attacker who has breached the perimeter to pivot deeper into the infrastructure by leveraging trusted relationships between systems. This scenario highlights the dangers of over-permissive service-to-service communication patterns and underscores the necessity of implementing zero-trust principles where every request is verified regardless of its origin point.
To mitigate this vulnerability, immediate remediation efforts should focus on enforcing strict network-level access controls alongside robust application-layer authentication. Network segmentation strategies must be employed to ensure that internal backend services are not directly reachable from untrusted networks such as the public internet or guest Wi-Fi segments. Implementing reverse proxies with rigorous validation rules can help filter out unauthorized requests before they reach the core logic. Additionally, all API endpoints intended for internal use should require mutual authentication using certificates or signed tokens, ensuring that only verified service identities can communicate. Regular security audits and penetration testing focused on access control flaws are essential to identify similar misconfigurations across other components of the CV-CUE ecosystem, thereby reducing the overall attack surface and preventing future exploitation attempts by malicious actors seeking to leverage internal services for unauthorized data extraction or disruption.