{"resourceId":"lava-cve-2026-47483-dcgm-exporter-internet-exposure-research-20261008","versions":[{"version":"external-f5401e4d07b5ecc1581545a22f6e5663985a31b06ca4eac3d3753ac7e5ebfed5","resource":{"id":"lava-cve-2026-47483-dcgm-exporter-internet-exposure-research-20261008","title":"LAVA: CVE-2026-47483 in NVIDIA DCGM Exporter (CVSS 8.2) plus >2,000 unauthenticated internet-exposed GPU servers (~12,000 GPUs, ~$100M hardware)","organization":"LAVA (Lava Security)","sector":"Independent security research","geography":"Global (U.S. plurality of exposed GPUs)","publishedAt":"2026-10-08","publicationDate":"2026-10-08","eventDate":"2026-10-08","sourceName":"LAVA research blog","sourceLabel":"Independent security research","sourceUrl":"https://lava.security/research/cve-2026-47483-nvidia-dcgm-exporter-vulnerability","evidenceClass":"independent-research","outcomeClass":"cautionary","topics":["data-security","infrastructure"],"finding":"LAVA's Oct 8, 2026 post describes discovering that NVIDIA DCGM Exporter's /debug/pprof endpoints allow unauthenticated concurrent profiling requests to exhaust resources, causing denial of service and information disclosure—assigned CVE-2026-47483 (CVSS 8.2 High) with an NVIDIA bulletin. Separately, four internet scans found more than 2,000 GPU servers exposing DCGM Exporter without authentication and more than 12,000 unique GPUs (~$100 million hardware estimate), including Blackwell Ultra B300, H200, H100 and consumer RTX 5090/4090 systems. Metrics reveal model names, utilization and infrastructure detail. LAVA says it reproduced pprof exposure on NVIDIA's official exporter container without modification, tested resource exhaustion in a controlled environment (not against public hosts), and recommends upgrading and keeping exporters off the public internet.","sledRelevance":"Primary research behind the same-day Register coverage; gives SLED operators the technical mechanism (pprof resource exhaustion) and exposure evidence to justify emergency hygiene on university and agency GPU clusters.","evidence":"Opened and read the full LAVA research article dated October 8, 2026. Researcher-reported vulnerability and scan findings; NVIDIA acknowledgement via CVE/bulletin is cited. Controlled lab exploitation only.","architectureImplications":"Default-container behavior that exposes pprof when the exporter is reachable means network placement and flags matter as much as version pins in Kubernetes/Helm charts.","governanceImplications":"Public GPU UUID and utilization leakage should trigger asset-inventory and possibly disclosure processes for institutions that find their ranges exposed.","securityPrivacyImplications":"Combines reconnaissance (metrics) with availability impact (crash monitoring / host pressure); both matter for shared research clusters.","caveats":"Exposure scans are historical (article describes research period); $100M hardware figure is the researcher's estimate. Official affected/fixed versions should be taken from NVIDIA's bulletin when patching.","streamIds":["nvidia"],"roles":{"sales":"LAVA's write-up is the primary evidence pack for a CISO briefing: High CVE mechanics plus more than 2,000 exposed exporters covering roughly 12,000 GPUs. Sell a focused GPU monitoring hygiene engagement with briefing slides drawn from this research. Stay precise that resource-exhaustion testing was in a controlled lab, not against the public hosts. Do not guarantee remaining global exposure counts after the provider cleanups the article mentions.","engineering":"Fit for any Prometheus-on-GPU deployment using NVIDIA's DCGM Exporter image. Architecture work is deny-by-default public ingress, opt-in pprof only, and pinned fixed exporter digests in Helm charts. Prerequisites include a cluster inventory of exporter workloads and CI gates on image digests. Constraints include chart defaults that may re-enable pprof and multi-tenant drift. Proof of value: confirm pprof is closed externally, metrics scrape still works internally, and CI rejects unpinned images.","delivery":"Delivery translates the research into change tickets: chart defaults, network policies, version bumps and verification scans across clusters. Platform engineering implements; security validates; research computing warns dashboard users. Checkpoints are chart change review, rollout completion and a clean external scan. Proposed acceptance: pprof closed and fixed digests cluster-wide. Risk: fixing one production cluster while student namespaces recreate public Services."},"roleDetails":{"sales":{"customerProblem":"Security leaders need primary research, not only headlines, to authorize emergency hardening of GPU monitoring.","stakeholders":["CISO","Detection engineering","Research computing","Cloud security"],"discoveryQuestions":["Do we run the official DCGM Exporter image?","Are any Services typed LoadBalancer/NodePort to the internet?","Who owns Helm chart defaults?"],"valueHypothesis":"Using primary research to drive a time-boxed hygiene sprint can cut both disclosure and DoS risk (interpretation).","potentialEngagement":"A research-informed hardening engagement with briefing slides drawn from this CVE and exposure evidence.","unsupportedClaims":["That LAVA attacked the public hosts","Current exact global exposure tally","That metrics exposure alone is harmless"]},"engineering":{"fit":"Directly applicable to Kubernetes/GPU clusters using NVIDIA's exporter image.","architectureIntegration":"NetworkPolicy/allowlists for scrape; disable pprof by default; pin patched exporter; separate management plane from workload plane.","prerequisites":["Cluster inventory of exporter Deployments/DaemonSets","Ingress/SecurityGroup review","CI version gate"],"constraints":["Chart defaults may re-enable pprof","Multi-tenant student clusters drift","Cloud marketplace images may lag"],"security":"Treat unauthenticated pprof as Critical-path availability for monitoring even when CVSS is High not Critical.","proofOfValue":["Confirm pprof not externally reachable","Pin and verify fixed image digest","Alert on new public listeners"]},"delivery":{"work":"Execute cluster-by-cluster exporter hardening and verify with external scans.","dependencies":["Helm/chart owners","Firewall changes","Security scan windows"],"ownership":"Platform engineering implements; security validates; research computing communicates downtime.","skillsAdoption":"Teach on-call to recognize exporter version and pprof flags.","governanceCheckpoints":["Chart default change review","Rollout completion","External scan clean"],"acceptanceCriteria":["All clusters on fixed digests (proposed)","No public pprof/metrics listeners (proposed)"],"risks":["Partial rollout","Namespaces recreating public Services","Ignoring neocloud customer attachments"]}},"retrievedAt":"2026-10-09T03:19:57Z","enrichedAt":"2026-10-09T03:25:09Z","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Hardening may briefly disrupt researcher dashboards; communicate alternate internal scrape endpoints.","procurementImplications":"Require GPU cloud providers to attest that DCGM/Node Exporters are not internet-public by default in tenant templates.","operatingModelImplications":"Establishes continuous exposure scanning of GPU monitoring as a standing control, not a one-off incident.","sourceVerification":{"openedUrl":"https://lava.security/research/cve-2026-47483-nvidia-dcgm-exporter-vulnerability","referenceExcerpt":"more than 2,000 GPU servers exposing NVIDIA DCGM Exporter directly to the public internet without authentication","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}