CVE-2026-47475
Deferred Deferred - Pending Action

Denial of Service in NVIDIA TensorRT-LLM

Vulnerability report for CVE-2026-47475, 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 TensorRT-LLM contains a vulnerability in the OpenAI-compatible inference API where an attacker could trigger a reachable assertion in the sampler thread. A successful exploit of this vulnerability might lead to denial of service.

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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

Affected Vendors & Products

Showing 1 associated CPE
Vendor Product Version / Range
nvidia tensorrt_llm *

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-617 The product contains an assert() or similar statement that can be triggered by an attacker, which leads to an application exit or other behavior that is more severe than necessary.

Attack-Flow Graph

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Executive Summary

NVIDIA TensorRT-LLM has a vulnerability in its OpenAI-compatible inference API. An attacker could trigger a reachable assertion in the sampler thread, which might cause the system to crash or stop responding.

Impact Analysis

This vulnerability could lead to a denial of service, meaning the affected system might become unavailable or unresponsive. This could disrupt services relying on TensorRT-LLM for AI inference tasks.

Compliance Impact

The vulnerability in NVIDIA TensorRT-LLM could lead to denial of service, potentially disrupting services that handle sensitive data. This may impact compliance with GDPR or HIPAA if it affects the availability of personal or health data processing systems.

Mitigation Strategies

Update NVIDIA TensorRT-LLM to the latest patched version as soon as possible to address the reachable assertion in the sampler thread. Monitor NVIDIA's security advisories for updates and apply them promptly.

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