CVE-2026-47476
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Uncontrolled Resource Consumption in NVIDIA Triton Inference Server

Vulnerability report for CVE-2026-47476, including description, CVSS score, EPSS score, affected products, exploitability, helpful resources, and attack-flow context.

Publication date: 2026-07-14

Last updated on: 2026-07-15

Assigner: NVIDIA Corporation

Description

NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker can cause uncontrolled resource consumption. A successful exploit of this vulnerability might lead to denial of service.

CVSS Scores

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Meta Information

Published
2026-07-14
Last Modified
2026-07-15
Generated
2026-08-04
AI Q&A
2026-07-15
EPSS Evaluated
2026-08-02
NVD
EUVD

Affected Vendors & Products

Showing 2 associated CPEs
Vendor Product Version / Range
nvidia triton_inference_server *
nvidia triton_inference_server to 26.04 (inc)

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-400 The product does not properly control the allocation and maintenance of a limited resource.

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Executive Summary

This vulnerability in NVIDIA Triton Inference Server for Linux allows an attacker to cause uncontrolled resource consumption, which could lead to a denial of service. The issue is classified under CWE-400 (Uncontrolled Resource Consumption).

Impact Analysis

An attacker could exploit this flaw to consume excessive server resources, causing the Triton Inference Server to become unresponsive or crash. This may disrupt services relying on the server, leading to downtime or degraded performance.

Compliance Impact

This vulnerability could impact compliance with GDPR and HIPAA by enabling denial of service attacks, potentially disrupting services handling sensitive data. Uncontrolled resource consumption may lead to service unavailability, violating availability requirements in these regulations.

Mitigation Strategies

Update Triton Inference Server for Linux to a version beyond 26.04 to address the uncontrolled resource consumption vulnerability. Monitor system resources for unusual consumption patterns and restrict network access to the server to reduce exposure.

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