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CVE-2025-23325: Uncontrolled Recursion Vulnerability in NVIDIA Triton Inference Server

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Overview

The vulnerability identified as CVE-2025-23325 is a serious cybersecurity issue affecting the NVIDIA Triton Inference Server for both Windows and Linux platforms. The vulnerability could allow attackers to instigate uncontrolled recursion through a specifically crafted input. This could result in a denial of service, potentially leading to system compromise or data leakage.

Vulnerability Summary

CVE ID: CVE-2025-23325
Severity: High (7.5 CVSS)
Attack Vector: Network
Privileges Required: Low
User Interaction: None
Impact: System compromise, potential data leakage

Affected Products

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Product | Affected Versions

NVIDIA Triton Inference Server | All prior versions

How the Exploit Works

The exploit works by an attacker sending a specially crafted input to the NVIDIA Triton Inference Server. This input triggers an uncontrolled recursion in the system, causing it to consume system resources excessively. The excessive use of resources can lead to a system crash or denial of service, potentially giving the attacker an opportunity to compromise the system or leak sensitive data.

Conceptual Example Code

Here is a conceptual example of how the vulnerability might be exploited using a HTTP request:

POST /NVIDIA/Triton/Server/Endpoint HTTP/1.1
Host: target.example.com
Content-Type: application/json
{ "specially_crafted_input": "trigger_uncontrolled_recursion" }

In this example, the `specially_crafted_input` is designed to trigger the uncontrolled recursion vulnerability in the NVIDIA Triton Inference Server, leading to the potential system compromise and data leakage.

Recommended Mitigation

NVIDIA has released a patch to address this vulnerability. All users of the affected server are urged to apply this patch immediately. Alternatively, users can employ a Web Application Firewall (WAF) or Intrusion Detection System (IDS) as a temporary mitigation measure.

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Disclaimer:

The information and code presented in this article are provided for educational and defensive cybersecurity purposes only. Any conceptual or pseudocode examples are simplified representations intended to raise awareness and promote secure development and system configuration practices.

Do not use this information to attempt unauthorized access or exploit vulnerabilities on systems that you do not own or have explicit permission to test.

Ameeba and its authors do not endorse or condone malicious behavior and are not responsible for misuse of the content. Always follow ethical hacking guidelines, responsible disclosure practices, and local laws.

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