CVE-2026-47479
Deferred Deferred - Pending Action

Uncontrolled Resource Consumption in NVIDIA Triton Inference Server

Vulnerability report for CVE-2026-47479, 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.

Attack-Flow Graph

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Executive Summary

NVIDIA Triton Inference Server for Linux has a flaw where an attacker can trigger excessive resource usage. This may lead to system overload and denial of service by consuming too much memory or CPU.

Detection Guidance

Detecting uncontrolled resource consumption in NVIDIA Triton Inference Server may involve monitoring system resource usage such as CPU, memory, and network. Check for processes consuming excessive resources using commands like 'top', 'htop', or 'ps aux' on Linux. Review Triton server logs for unusual activity or errors indicating resource exhaustion.

Impact Analysis

An attacker could exploit this to consume excessive server resources, causing the system to slow down or crash, disrupting services that rely on the Triton Inference Server.

Mitigation Strategies

Immediately update NVIDIA Triton Inference Server to the latest version beyond 26.04 to address the vulnerability. Restrict network access to the Triton server using firewalls or network segmentation. Monitor system resources closely and implement rate limiting to prevent resource exhaustion attacks.

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