CVE-2025-23322 is a high-severity vulnerability identified in NVIDIA's Triton Inference Server, a widely used platform for deploying AI models in production environments on both Windows and Linux systems. The vulnerability is classified as CWE-415, indicating a double free error. This occurs when multiple requests cause a stream to be cancelled before processing, leading the server to attempt to free the same memory twice. Such a double free can corrupt the memory management data structures, potentially causing the application to crash or behave unpredictably. In this case, the primary impact is a denial of service (DoS), where the Triton Inference Server could become unresponsive or terminate unexpectedly, disrupting AI inference workloads. The vulnerability affects all versions prior to 25.06, and no known exploits have been reported in the wild yet. The CVSS 3.1 score is 7.5, reflecting a high severity with network attack vector, low attack complexity, no privileges or user interaction required, and impact limited to availability. Since Triton Inference Server is critical infrastructure for AI model deployment, especially in environments requiring real-time inference, this vulnerability poses a significant risk to service continuity and reliability. The absence of a patch link suggests that users must monitor NVIDIA's advisories closely for updates or mitigations. Given the nature of the vulnerability, attackers could exploit it remotely by sending crafted requests to trigger the double free condition, leading to service crashes without needing authentication or user interaction.

For European organizations, the impact of this vulnerability could be substantial, particularly for those relying on NVIDIA Triton Inference Server to power AI-driven applications in sectors such as automotive, healthcare, finance, and manufacturing. A denial of service could interrupt critical AI inference tasks, leading to operational downtime, degraded service quality, and potential financial losses. In healthcare, for example, AI models used for diagnostics or patient monitoring could be disrupted, affecting patient care. In finance, real-time fraud detection systems might be impaired. Additionally, organizations providing AI-as-a-service or cloud-based AI solutions could face customer dissatisfaction and reputational damage. The vulnerability does not directly compromise confidentiality or integrity, but the availability impact alone can have cascading effects on business continuity and compliance with service-level agreements (SLAs). Given the increasing adoption of AI technologies across Europe, the risk of operational disruption is non-trivial, especially in environments with high dependency on automated inference pipelines.

To mitigate this vulnerability, European organizations should prioritize upgrading to NVIDIA Triton Inference Server version 25.06 or later as soon as it becomes available, as this version addresses the double free issue. Until a patch is applied, organizations should implement network-level protections such as firewall rules and intrusion prevention systems to restrict access to the Triton server endpoints, limiting exposure to untrusted networks. Monitoring and logging of inference server activity should be enhanced to detect abnormal request patterns that might trigger the vulnerability. Employing rate limiting on incoming requests can reduce the likelihood of multiple simultaneous cancellations that cause the double free. Additionally, deploying Triton servers within isolated network segments or behind API gateways can add layers of defense. Organizations should also prepare incident response plans to quickly recover from potential denial of service events, including automated restarts and failover mechanisms to maintain service availability. Close coordination with NVIDIA support channels is recommended to receive timely updates and guidance.