External risk intelligence

NVIDIA Triton Server flaw could let attackers steal data or disrupt services

CVE advisorySeverity: CRITICAL (CVSS 9.8)

CVE-2026-24213

NVIDIA Triton Inference Server has a critical flaw allowing attackers to steal sensitive data or disrupt services by remotely sending malicious requests.

4Halo Surface Signal

Out-of-bounds Read

Nvidia Triton Inference Server

before 26.03

External exposure likelihood

Halo Surface Signal score for CVE-2026-24213

The NVIDIA Triton Inference Server functions as an API endpoint for processing data. As an API service designed to handle inference requests, it is network-reachable and commonly deployed to receive input from various network sources, making it a plausible candidate for exposure in environments where inference services are integrated into external-facing applications or API gateways.

Horizon Alert

Summary of the vulnerability and why it matters

NVIDIA Triton Inference Server has a vulnerability in its DALI backend that could allow an attacker to read memory outside of allocated bounds. This could potentially lead to unauthorized code execution, data alteration, service disruption, or exposure of sensitive information.

  • This affects systems using the DALI backend.
  • Exploitation can result in serious security impacts.

Attack Path

How an attacker could exploit the issue

An unauthenticated attacker can exploit this vulnerability by sending specially crafted requests to the NVIDIA Triton Inference Server's DALI backend. This could allow them to read arbitrary memory, potentially leading to the disclosure of sensitive information, modification of data, or even full system compromise through code execution.

  • Network access required.
  • Target DALI backend processing.
  • Crafted inference requests sent.

Live Threat

Current exploitation, exposure, and threat context

This vulnerability in NVIDIA Triton Inference Server's DALI backend allows for an out-of-bounds read, which could lead to significant impacts like code execution or data manipulation. Attackers generally favor vulnerabilities that are remotely exploitable without authentication and offer a high impact, making this type of flaw attractive for widespread exploitation. The current threat landscape often sees such critical server-side vulnerabilities being actively targeted.

  • Network-exploitable and no authentication needed.
  • Potential for code execution and data tampering.
  • Published in May 2026.

Priority actions

Operational Fix

Recommended remediation, mitigation, and detection steps

Prioritize patching NVIDIA Triton Inference Server versions prior to 26.03 to address the critical out-of-bounds read vulnerability. If immediate patching is not feasible, implement network segmentation or strict access controls to isolate affected instances and prevent potential exploitation leading to code execution or data compromise.

  • Patch to version 26.03 or later.
  • Isolate affected servers from network traffic.
  • Monitor for unauthorized access attempts.

Frequently asked questions

What is NVIDIA Triton Inference Server and its DALI backend?

NVIDIA Triton Inference Server is a software used for running AI models for inference, which means using trained models to make predictions on new data. The DALI backend is a component within Triton that helps process and prepare input data for these AI models efficiently.

What type of weakness does CVE-2026-24213 represent?

CVE-2026-24213 is an 'out-of-bounds read' vulnerability. This means a program attempts to access data beyond the memory that has been allocated to it, which can lead to unpredictable behavior and security risks like data leaks or crashes.

How can an attacker trigger the vulnerability in NVIDIA Triton Server?

An attacker can trigger this vulnerability by sending specially crafted requests to the DALI backend of the NVIDIA Triton Inference Server. It does not require authentication, and the attacker targets the specific way the DALI backend processes data.

Who needs to be concerned about this NVIDIA Triton Server vulnerability?

Organizations using NVIDIA Triton Inference Server with the DALI backend should be concerned. The Halo Surface Signal indicates this is a 'Likely' external threat because Triton often acts as an API endpoint, making it a plausible target for external attacks if not properly secured.

What is the first step to address this CVE in Triton?

The primary recommendation is to update NVIDIA Triton Inference Server to version 26.03 or later. If updating immediately isn't possible, limiting network access to the affected server can help prevent exploitation.

References