CVE-2025-33177 is a vulnerability classified under CWE-400 (Uncontrolled Resource Consumption) found in the NvMap component of NVIDIA Jetson Orin Series devices running Jetson Linux and IGX OS. NvMap is responsible for managing memory allocations for GPU and related hardware resources. The flaw arises from improper tracking of memory allocations, which can be exploited by a local attacker with limited privileges to cause memory overallocation. This uncontrolled resource consumption can exhaust system memory, leading to denial of service by crashing or severely degrading system performance. The vulnerability affects Jetson Orin versions 35.6.2 and earlier, and 36.4.4 and earlier. The CVSS v3.1 base score is 5.5 (medium severity), reflecting that the attack vector is local (AV:L), requires low privileges (PR:L), no user interaction (UI:N), and impacts availability (A:H) without affecting confidentiality or integrity. No public exploits or patches are currently available, but the vulnerability is published and should be addressed promptly. The threat is particularly relevant for embedded and edge computing environments where Jetson Orin devices are deployed for AI, robotics, or industrial automation tasks, as denial of service could disrupt critical operations.

For European organizations, the impact of CVE-2025-33177 primarily concerns availability disruptions in systems utilizing NVIDIA Jetson Orin devices. These devices are often embedded in AI-driven applications, robotics, autonomous vehicles, and industrial automation, sectors that are growing rapidly in Europe. A successful attack could cause system crashes or degraded performance, leading to operational downtime, loss of productivity, and potential safety risks in critical infrastructure or manufacturing processes. Since the vulnerability requires local access, insider threats or compromised local accounts pose the greatest risk. The absence of confidentiality or integrity impact limits data breach concerns, but availability loss in critical systems can have cascading effects, especially in regulated industries such as automotive, manufacturing, and healthcare. Organizations relying on Jetson Orin for edge AI workloads should consider the risk of service interruptions and plan accordingly.

1. Restrict local access to Jetson Orin devices by enforcing strict access controls and monitoring user privileges to prevent unauthorized local exploitation. 2. Implement system and process monitoring to detect abnormal memory usage patterns indicative of resource exhaustion attempts. 3. Isolate Jetson Orin devices within secure network segments to limit exposure to potentially malicious insiders or compromised hosts. 4. Apply principle of least privilege to all local accounts and services interacting with NvMap or related components. 5. Regularly check NVIDIA’s security advisories for patches or updates addressing this vulnerability and apply them promptly once available. 6. Consider deploying watchdog or automated recovery mechanisms to minimize downtime in case of DoS conditions. 7. Conduct security awareness training for personnel with local access to these devices to reduce risk of accidental or intentional exploitation.