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CVE-2026-47627 – Path Traversal (DoS) – NVIDIA Triton Inference Server (Linux) 0.0–26.05

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Summary

CVE-2026-47627 is a critical path traversal vulnerability (CWE-22) affecting NVIDIA Triton Inference Server for Linux. The flaw allows an unauthenticated, remote attacker to traverse the filesystem via crafted input, with a successful exploit resulting in denial of service. NVIDIA rates the issue 9.8 (CRITICAL) on the CVSS v3.1 scale, reflecting network exploitability, low attack complexity, and no privileges or user interaction required.

Technical details

  • Root cause: Improper limitation of a pathname to a restricted directory (path traversal, CWE-22) within Triton Inference Server’s request/file-handling logic.
  • Trigger conditions: An attacker sends a specially crafted request to a network-exposed Triton Inference Server instance; no authentication or user interaction is needed.
  • Attack vector: Network (AV:N) — exploitable remotely over the network with low attack complexity.
  • Impact: NVIDIA’s advisory records high confidentiality, integrity, and availability impact, with the primary documented consequence being denial of service.
  • This vulnerability was disclosed alongside four other Triton Inference Server issues in the same NVIDIA security bulletin (CVE-2026-47606, CVE-2026-47628, CVE-2026-47629, CVE-2026-47630), all fixed in the same release.

Affected software

  • NVIDIA Triton Inference Server for Linux — all versions 0.0 through 26.05 (inclusive).

Severity

  • CVSS v3.1 Base Score: 9.8 (Critical)
  • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Mitigation and recommended actions

  • Immediate: Upgrade NVIDIA Triton Inference Server to version 26.06 or later, which contains the fix for this vulnerability.
  • If immediate patching is not possible: Restrict network exposure of Triton Inference Server endpoints (e.g., place them behind a firewall/VPN and disallow direct internet access), and monitor for anomalous file-path or request patterns until the upgrade can be applied. NVIDIA notes that risk should be evaluated against your specific deployment configuration.

References

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