---
id: "CVE-2026-65120"
kind: "vulnerability"
aliases: ["CVE-2026-65120"]
title: "NVIDIA TensorRT-LLM: server-side request forgery lets attackers reach internal services"
severity: "high"
cvss: 7.1
epss: null
exploited: false
status: "open"
category: "ai-tooling"
products: []
ecosystems: []
tags: ["ai-inference", "ai-tooling", "nvidia", "self-hosted", "tensorrt-llm"]
not_affected_if: ["not-using-tensorrt-llm"]
published_at: "2026-10-27T13:16:59+00:00"
first_seen_at: "2026-10-27T13:31:51+00:00"
updated_at: "2026-10-27T13:32:18+00:00"
sources: [{"source": "nvd", "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-65120", "first_seen_at": "2026-10-27T13:31:51+00:00"}]
---

# NVIDIA TensorRT-LLM: server-side request forgery lets attackers reach internal services

NVIDIA TensorRT-LLM, an LLM inference library, has a server-side request forgery flaw. An attacker can make the server send requests to destinations of their choosing, which may leak information.

_Summary, check and fix written by a model from the sources; labelled as such._

## How to check

- Check the installed TensorRT-LLM version with `pip show tensorrt_llm` and compare it to the fixed release in NVIDIA's bulletin.
- unknown: the sources do not say which request path or setting is affected.

## Fix

- Upgrade TensorRT-LLM to the patched version listed in NVIDIA's security bulletin, which the sources do not name.
- unknown: the sources do not give a fixed version number.

## Timeline

- 2026-10-27T13:31:51+00:00 nvd https://nvd.nist.gov/vuln/detail/CVE-2026-65120

## From the sources

NVIDIA TensorRT-LLM contains a vulnerability where an attacker could cause a server-side request forgery. A successful exploit of this vulnerability might lead to information disclosure.

---

_Free to read at a human pace. An API with keys and an MCP server are in preparation; early access: hello@infrastack.ai_