CVE-2026-103068 in ByteCoreStack Plugin
Summary
by MITRE • 10/01/2026
Subscriber Privilege Escalation in ByteCoreStack – MCP Connector for AI Tools <= 1.2.2 versions.
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Analysis
by VulDB Data Team • 10/01/2026
The vulnerability identified as a subscriber privilege escalation within the ByteCoreStack MCP Connector for AI Tools, specifically affecting versions up to and including 1.2.2, represents a critical security flaw that undermines the fundamental principle of least privilege in multi-tenant or role-based access control environments. This connector serves as an interface allowing artificial intelligence tools to interact with external systems via the Model Context Protocol, thereby granting these automated agents significant operational capabilities. When such connectors are deployed without rigorous input validation and authorization checks at every step of the request lifecycle, they become susceptible to attacks where a lower-privileged user or process can manipulate API calls to perform actions reserved for administrators or higher-level subscribers. The core technical flaw lies in the insufficient enforcement of access controls on specific endpoints exposed by the MCP connector, allowing an authenticated attacker with subscriber-level credentials to execute administrative functions such as modifying system configurations, accessing sensitive data stores, or managing other users' resources without proper authorization verification.
From a technical perspective, this vulnerability is classified under CWE-269, which denotes Improper Privilege Control, and often correlates with CWE-862, Missing Authorization, depending on the specific implementation details of how identity tokens are validated against requested actions. In many modern API architectures utilizing JSON Web Tokens or similar authentication mechanisms, developers may inadvertently rely solely on the presence of a valid token rather than verifying that the permissions embedded within that token align with the sensitivity of the operation being performed. For an AI tool interacting through this connector, such a flaw is particularly dangerous because it allows malicious actors to potentially hijack the context in which the AI operates. By escalating privileges, an attacker can trick the system into executing commands or retrieving data that should be strictly isolated from subscriber-level access, effectively bypassing security boundaries designed to protect tenant isolation and data confidentiality.
The operational impact of this vulnerability is severe, as it compromises both the integrity and confidentiality of the platform hosting the ByteCoreStack MCP Connector. An attacker who successfully exploits this privilege escalation can gain unauthorized access to proprietary information, alter critical settings that affect service availability or performance, and potentially use elevated privileges to pivot into other parts of the infrastructure if further lateral movement vectors exist. In the context of AI tools, which often have broad permissions by design to function effectively, a compromised connector could lead to significant data exfiltration or manipulation of AI-generated outputs based on unauthorized access to restricted datasets. This not only violates regulatory compliance requirements regarding data protection but also erodes trust in the automated decision-making processes driven by these AI systems.
To mitigate this risk, immediate action is required to upgrade the ByteCoreStack MCP Connector for AI Tools to a version greater than 1.2.2 where these access control issues have been addressed through rigorous code reviews and security testing. Organizations should also implement strict input validation on all API endpoints exposed by the connector, ensuring that every request includes comprehensive authorization checks against the user's role and permissions before processing any administrative or sensitive operations. Additionally, adopting a defense-in-depth strategy involves enabling detailed logging for access control failures to facilitate rapid detection of exploitation attempts, which aligns with MITRE ATT&CK techniques such as T1078 Valid Accounts if attackers leverage stolen credentials, or more specifically the abuse of legitimate tools and protocols like MCP to maintain persistence. Regular security audits and penetration testing focused on API authorization logic are essential to prevent similar privilege escalation vulnerabilities in future updates or integrations involving AI-driven automation tools.