CVE-2026-65126 in Infrastructure Controller
Summary
by MITRE • 09/22/2026
NVIDIA Infrastructure Controller for Linux contains a vulnerability where an attacker could cause improper enforcement of a behavioral workflow. A successful exploit of this vulnerability might lead to data tampering, denial of service, and information disclosure.
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Analysis
by VulDB Data Team • 09/22/2026
The NVIDIA Infrastructure Controller for Linux represents a critical component in modern high-performance computing and artificial intelligence clusters, serving as the management plane that orchestrates hardware resources, monitors system health, and enforces operational policies across connected devices. This software acts as an intermediary between the physical infrastructure and higher-level orchestration tools, handling sensitive configuration data and control signals. The identified vulnerability resides within this controller's logic for managing behavioral workflows, which are sequences of operations designed to maintain system stability, enforce security boundaries, or manage resource allocation during specific operational states. These workflows are essential for ensuring that the infrastructure behaves predictably under load or when responding to administrative commands, making their integrity paramount for both performance and security.
The core technical flaw involves an improper enforcement mechanism within these behavioral workflows. Specifically, the vulnerability allows an attacker who has gained access to the management interface or can interact with the controller's API to bypass intended validation checks or state transitions. This lack of rigorous input sanitization or authorization verification means that malicious actors can manipulate the workflow execution path in ways not anticipated by the developers. By exploiting this gap, an adversary can inject unauthorized commands, alter the sequence of operations, or trigger specific code paths that were meant to be restricted under normal circumstances. The flaw essentially undermines the logical controls designed to prevent misuse of administrative functions, creating a pathway for privilege escalation or state manipulation within the management plane itself.
The operational impact of this vulnerability is severe due to the central role played by the Infrastructure Controller in cluster operations. A successful exploit can lead directly to data tampering, where critical configuration files, user credentials, or job scheduling parameters are modified without authorization. This compromises the integrity of the entire computing environment, potentially leading to corrupted computations or misconfigured security policies that persist across reboots and maintenance cycles. Furthermore, the vulnerability enables denial of service conditions by allowing attackers to disrupt normal workflow execution, causing system hangs, resource exhaustion, or complete unavailability of management services. In a production AI cluster, such disruptions can halt training jobs indefinitely, resulting in significant financial loss and operational downtime for organizations relying on these systems for critical workloads.
Additionally, the vulnerability facilitates information disclosure by allowing attackers to extract sensitive data that should remain isolated within the management plane. This may include network topology details, hardware specifications, user identities, or internal API endpoints that are not intended for public exposure. The leakage of such intelligence aids adversaries in planning further attacks against the broader infrastructure, as they gain a detailed map of the target environment's capabilities and weaknesses. The combination of data tampering, service disruption, and information leakage creates a multifaceted threat landscape where an initial foothold can quickly escalate into full compromise of the cluster's administrative controls.
From a classification perspective, this vulnerability aligns with CWE-20 Improper Input Validation and CWE-862 Missing Authorization, as it stems from inadequate checks on user-supplied data or insufficient enforcement of access control policies during workflow execution. In terms of offensive security frameworks, the exploitation techniques map to MITRE ATT&CK tactics such as Defense Evasion for bypassing controls and Credential Access if sensitive information is exfiltrated. The attack vector likely involves remote interaction with the management API, placing it within the Remote Code Execution or Command Injection categories depending on how the workflow manipulation translates into system-level actions.
Mitigation strategies must focus on both immediate remediation and long-term architectural improvements. NVIDIA has released patches that address the specific logic flaws in the behavioral workflow enforcement mechanisms; administrators should prioritize applying these updates to all affected nodes within their clusters. Beyond patching, it is crucial to implement strict network segmentation for management interfaces, ensuring they are accessible only from trusted administrative subnets using multi-factor authentication and strong access controls. Regular auditing of API usage logs can help detect anomalous behavior indicative of exploitation attempts. Furthermore, adopting a zero-trust architecture where every request is verified regardless of origin can reduce the risk posed by such logic flaws in future software versions.