External risk intelligence

NVIDIA TRT-LLM could allow an internal attacker to take control of systems or access data.

CVE advisorySeverity: CRITICAL (CVSS 9.8)

CVE-2026-24163

The testing interface in NVIDIA TRT-LLM contains a security flaw that allows an internal attacker to execute unauthorized code or disrupt services. These actions could enable the compromise of the server and potential exposure of sensitive model information.

1Halo Surface Signal

Deserialization

Nvidia Tensorrt Llm

before 1.2

External exposure likelihood

Halo Surface Signal score for CVE-2026-24163

The vulnerability affects an RPC testing interface within the NVIDIA TRT-LLM toolkit. Such testing and debugging components are designed for development, validation, or internal diagnostics and are not intended to be exposed to the public internet in standard production deployments.

Horizon Alert

Summary of the vulnerability and why it matters

A vulnerability in NVIDIA TRT-LLM's RPC testing component could allow an attacker to execute arbitrary code, tamper with data, or cause denial of service. This issue arises from unsafe deserialization and is particularly concerning because it is reachable over the network.

  • Affects code execution and data integrity.
  • Could impact service availability.
  • Potentially accessible remotely.

Attack Path

How an attacker could exploit the issue

An attacker could abuse a deserialization flaw in NVIDIA TRT-LLM's RPC testing interface to execute arbitrary code. This would likely involve targeting an exposed RPC endpoint with specially crafted data to trigger the unsafe deserialization. Exploiting this could allow an attacker to compromise the system running the vulnerable component.

  • Requires network access.
  • Targets RPC testing interface.
  • Unsafe deserialization leads to compromise.

Live Threat

Current exploitation, exposure, and threat context

The current threat picture suggests this vulnerability is unlikely to be widely weaponized due to its specific nature affecting RPC testing interfaces within NVIDIA TRT-LLM. These interfaces are typically used for development or internal diagnostics, not production environments, making them less attractive targets for broad exploitation. However, the severity of potential impacts like code execution means targeted attacks are still a consideration.

  • Affects internal testing interfaces.
  • Not exposed in production deployments.
  • Targeted exploitation remains possible.

Priority actions

Operational Fix

Recommended remediation, mitigation, and detection steps

Prioritize securing the NVIDIA TensorRT-LLM RPC testing interface, as an attacker could exploit unsafe deserialization to gain code execution, cause denial of service, or tamper with data. Given the critical severity and network-accessible attack vector, investigate all instances of TensorRT-LLM, particularly versions prior to 1.2.

  • Upgrade TensorRT-LLM to version 1.2.
  • Isolate affected services from untrusted networks.
  • Monitor RPC endpoints for suspicious deserialization attempts.

Frequently asked questions

What is NVIDIA TensorRT-LLM and what is it used for?

NVIDIA TensorRT-LLM is a software library that helps optimize and run large language models (LLMs) efficiently. It is used to improve the performance of AI models for various applications.

What type of vulnerability is present in NVIDIA TRT-LLM?

The vulnerability in NVIDIA TRT-LLM is an unsafe deserialization flaw, categorized as CWE-502. This means that the software improperly processes serialized data, which an attacker can exploit.

How can an attacker exploit this NVIDIA TRT-LLM vulnerability?

An attacker can exploit this vulnerability by sending specially crafted data to the RPC testing interface. This could potentially lead to code execution, denial of service, data tampering, or information disclosure without needing any special privileges or user interaction.

Who should be concerned about this NVIDIA TRT-LLM vulnerability?

Organizations using NVIDIA TensorRT-LLM should be concerned, especially if the RPC testing interface is accessible from the internet. While typically used for development, any exposure increases risk.

What is the first step to address this NVIDIA TRT-LLM vulnerability?

The immediate step is to ensure you are using NVIDIA TensorRT-LLM version 1.2 or later. If you cannot upgrade, consider isolating the affected services from untrusted networks to prevent external access.

References