---
id: "CVE-2026-24269"
kind: "vulnerability"
aliases: ["CVE-2026-24269"]
title: "NVIDIA TensorRT-LLM: server-side request forgery leads to data disclosure and tampering"
severity: "high"
cvss: 7.1
epss: null
exploited: false
status: "open"
category: "ai-tooling"
products: []
ecosystems: []
tags: ["ai-tooling", "llm-serving", "nvidia", "self-hosted", "tensorrt-llm"]
not_affected_if: ["no-tensorrt-llm-deployment"]
published_at: "2026-10-27T13:16:57+00:00"
first_seen_at: "2026-10-27T13:31:51+00:00"
updated_at: "2026-10-27T13:32:20+00:00"
sources: [{"source": "nvd", "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-24269", "first_seen_at": "2026-10-27T13:31:51+00:00"}]
---

# NVIDIA TensorRT-LLM: server-side request forgery leads to data disclosure and tampering

NVIDIA TensorRT-LLM, a library for serving large language models, has a server-side request forgery flaw. An attacker who can send crafted requests can make the server fetch internal resources, which may expose information and allow data tampering.

_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 whether the sources name the exact affected version range

## Fix

- Upgrade `tensorrt_llm` to the patched version listed in NVIDIA's security bulletin (version not given in the sources)
- Restrict outbound requests from the inference server to required hosts until patched

## Timeline

- 2026-10-27T13:31:51+00:00 nvd https://nvd.nist.gov/vuln/detail/CVE-2026-24269

## 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 and data tampering.

---

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