CVE-2025-23334

5.9 MEDIUM

📋 TL;DR

CVE-2025-23334 is an out-of-bounds read vulnerability in NVIDIA Triton Inference Server's Python backend that could allow information disclosure. Attackers can exploit this by sending specially crafted requests to vulnerable servers. Organizations using NVIDIA Triton Inference Server with Python backend on Windows or Linux are affected.

💻 Affected Systems

Products:
  • NVIDIA Triton Inference Server
Versions: Versions prior to 24.09
Operating Systems: Windows, Linux
Default Config Vulnerable: ⚠️ Yes
Notes: Only affects deployments using the Python backend; other backends are not vulnerable

📦 What is this software?

⚠️ Risk & Real-World Impact

🔴

Worst Case

Sensitive information disclosure including model data, configuration details, or memory contents from the Triton server process

🟠

Likely Case

Limited information disclosure of adjacent memory contents, potentially revealing partial model parameters or server state

🟢

If Mitigated

No impact if proper network segmentation and request validation are implemented

🌐 Internet-Facing: MEDIUM - Exploitation requires sending requests but could expose sensitive AI model information
🏢 Internal Only: LOW - Requires network access to Triton server and knowledge of Python backend usage

🎯 Exploit Status

Public PoC: ✅ No
Weaponized: UNKNOWN
Unauthenticated Exploit: ✅ No
Complexity: MEDIUM

Exploitation requires understanding of Triton's Python backend and ability to craft malicious inference requests

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: Version 24.09 or later

Vendor Advisory: https://nvidia.custhelp.com/app/answers/detail/a_id/5687

Restart Required: No

Instructions:

1. Download NVIDIA Triton Inference Server version 24.09 or later from NVIDIA NGC or GitHub. 2. Replace existing Triton installation with patched version. 3. Verify Python backend functionality after update.

🔧 Temporary Workarounds

Disable Python Backend

all

Temporarily disable the vulnerable Python backend if not required for your inference workloads

Modify Triton configuration to remove or comment out Python backend settings

Network Segmentation

all

Restrict access to Triton server to trusted networks only

Configure firewall rules to limit Triton server port access to authorized IPs

🧯 If You Can't Patch

  • Implement strict network access controls to limit Triton server exposure
  • Deploy web application firewall (WAF) or API gateway to filter malicious requests

🔍 How to Verify

Check if Vulnerable:

Check Triton server version and verify if Python backend is enabled in configuration

Check Version:

tritonserver --version

Verify Fix Applied:

Confirm Triton server version is 24.09 or later and test Python backend functionality

📡 Detection & Monitoring

Log Indicators:

  • Unusual Python backend errors
  • Memory access violation logs in Triton server
  • Abnormal request patterns to Python models

Network Indicators:

  • Multiple malformed inference requests to Triton server
  • Unusual data extraction patterns from inference endpoints

SIEM Query:

source="triton" AND (error OR exception) AND python_backend

🔗 References

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