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Yes—an exposed NVIDIA DCGM Exporter may be crashed remotely if its Go profiling endpoints are reachable. CVE-2026-47483 concerns the monitoring software, not an inherent defect in NVIDIA GPUs: concurrent unauthenticated requests to /debug/pprof can reportedly exhaust exporter resources and interrupt GPU metrics collection. Whether a deployment is at risk depends on its software version, profiling configuration, and network access. Check NVIDIA’s current security bulletin and restrict access while you verify those details.
What CVE-2026-47483 affects
The vulnerability is reported in NVIDIA DCGM Exporter, a component that exposes GPU metrics in a Prometheus-compatible format. It is a monitoring-stack issue; it does not mean that every NVIDIA GPU is vulnerable or will fail.
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According to Threadlinqs Intelligence’s incident account, Go runtime profiling handlers can be served alongside the exporter’s metrics endpoint. Some profiling requests can remain open for a caller-specified duration. A large number of concurrent requests that do not require authentication may therefore consume memory until the exporter runs out of resources and crashes. The result is loss of visibility into GPU health and metrics. Resource pressure could also affect training or inference workloads sharing the host, though that impact depends on the deployment.
The incident account reports a CVSS 3.1 score of 8.2, with vector AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:H, and identifies CWE-770, allocation of resources without limits or throttling. It also attributes possible denial-of-service and information-disclosure classifications to NVD and INCIBE. Confirm these details against the current primary records before relying on them for a security assessment.
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Which versions are affected—and why to verify
The incident account summarizes NVIDIA Security Bulletin 5857 as listing DCGM Exporter versions 0.0 through 4.8.2 as affected and naming 4.8.2 as an updated version. Because the stated affected range includes the same exporter version called updated, that summary does not establish an unambiguous inclusive boundary. It also lists DCGM versions 0.0 through 4.5.2 as affected and 4.5.3 as updated.
Do not infer that a particular installation is fixed or vulnerable from this summary alone. Check the NVIDIA Security Bulletin 5857 for its current product-specific guidance, then compare it with the actual DCGM Exporter and DCGM packages deployed in your environment. NVIDIA’s Product Security page says that, from October 1, 2026, bulletins are published on GitHub in Markdown, CSAF, and CVE formats while the website and repository run in parallel. NVIDIA advises customers to follow its bulletins for software or driver updates and specified mitigations.
When a DCGM Exporter is exposed
The issue matters when profiling handlers are enabled and an attacker can reach them. The incident account identifies port 9400 as the default exporter port and says profiling is opt-in in current versions. A default port does not mean the service is necessarily enabled on that port, bound to a public interface, or reachable through a firewall.
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For each deployment, establish these conditions before judging exposure:
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- Version: Record the installed DCGM Exporter and DCGM package versions, not just the image tag or a fleet-wide assumed baseline.
- Profiling: Check whether
--enable-pprofis enabled and whether the/debug/pprofroutes are served. - Reachability: Determine whether port 9400 and the profiling routes can be reached from the public internet, a broader corporate network, or only an authorized monitoring network.
- Resilience: Check whether the exporter has CPU and memory limits and whether monitoring alerts fire when its GPU-metrics scrape target disappears.
A service that is not reachable by untrusted networks has a different exposure profile from one publicly reachable, but access restrictions do not replace NVIDIA’s recommended software updates.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What the reported exposure scans show
Threadlinqs Intelligence reports that security researcher Lava conducted four Shodan scans from March through May 2026. Those scans reportedly found about 2,100 GPU servers across roughly 300 organizations with unauthenticated DCGM metrics exposed to the internet, covering more than 12,000 GPU UUIDs. The account says about 25% of the exposed DCGM hosts also exposed /debug/pprof.
These are scan observations, not a census of all GPU servers or proof that every observed system was exploitable. The same account separately reports 12,096 publicly exposed Prometheus Node Exporter hosts; that is a different exposure finding, not a count of vulnerable DCGM Exporter systems.
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- Apply NVIDIA’s fix for your installation. Use the current NVIDIA bulletin to identify the fixed versions for the relevant components, then update DCGM Exporter and DCGM accordingly.
- Keep the exporter off public interfaces. Bind it to loopback or a private interface where practical. Do not expose DCGM Exporter, Node Exporter, or Prometheus directly to the public internet.
- Restrict monitoring traffic. Use firewall rules or cloud security groups to allow port 9400 and related monitoring access only from authorized infrastructure. If a proxy is used, block
/debug/pprofthere unless access is explicitly needed. - Disable profiling when it is not required. Leave
--enable-pprofdisabled unless an operational need justifies enabling it, and limit access if it must remain available. - Limit blast radius and detect interruption. Set CPU and memory limits for the exporter, and alert when GPU-metrics scrape targets go missing. Treat unexpected external requests to profiling endpoints as a signal to investigate.
What a monitoring outage means
A DCGM Exporter crash interrupts the collection path for GPU metrics; it does not by itself establish that a GPU or its workload has stopped. However, a workload sharing a host may be affected if the attack also creates resource pressure there, as the incident account describes. Operators should distinguish exporter availability from GPU or application health and investigate both if metrics vanish during an incident.
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