VYPR
High severity8.0NVD Advisory· Published May 20, 2026

CVE-2026-24213

CVE-2026-24213

Description

NVIDIA Triton Inference Server contains a vulnerability in the DALI backend where an attacker could cause an out-of-bounds read. A successful exploit of this vulnerability might lead to code execution, data tampering, denial of service, or information disclosure.

AI Insight

LLM-synthesized narrative grounded in this CVE's description and references.

NVIDIA Triton Inference Server's DALI backend has an out-of-bounds read vulnerability that could allow an attacker to execute code, tamper with data, or cause denial of service.

Vulnerability

Overview

CVE-2026-24213 is a high-severity vulnerability affecting the NVIDIA Triton Inference Server, specifically within its DALI backend. The root cause is an out-of-bounds read, which occurs when the software reads memory beyond the bounds of an allocated buffer [1]. This type of flaw is commonly triggered by improper input validation or incorrect index handling.

Exploitation and

Attack Surface

An attacker can exploit this vulnerability by crafting a malicious input that triggers the out-of-bounds read in the DALI backend. The attack does not require any special privileges beyond network access to the Triton Inference Server, as the DALI backend processes inference requests. The networiske position needed is remote, as Triton is designed to serve inference requests over a network [1].

Impact

Successful exploitation could lead to code execution, enabling the attacker to run arbitrary code on the server. It could also cause data tampering, information disclosure, or denial of service (DoS). The potential for code execution makes this vulnerability particularly dangerous for environments where the server handles sensitive data or controls critical systems [1].

Mitigation

As of the publication date (May 20, 2026), NVIDIA has not yet released a patched version. Users are advised to monitor NVIDIA's security bulletins and apply any updates as soon as they become available. In the meantime, restricting network access to the Triton Inference Server and implementing robust input validation can reduce the risk [1].

AI Insight generated on May 20, 2026. Synthesized from this CVE's description and the cited reference URLs; citations are validated against the source bundle.

Affected products

2

Patches

0

No patches discovered yet.

Vulnerability mechanics

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References

3

News mentions

0

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