CVE-2025-23334
📋 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
- NVIDIA Triton Inference Server
📦 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
🎯 Exploit Status
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
allTemporarily 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
allRestrict 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