CVE-2025-23323
📋 TL;DR
NVIDIA Triton Inference Server contains an integer overflow vulnerability where sending an invalid request can cause a segmentation fault and crash the service. This affects all users running vulnerable versions on Windows or Linux systems. The vulnerability leads to denial of service, disrupting AI inference workloads.
💻 Affected Systems
- NVIDIA Triton Inference Server
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete service disruption causing extended downtime for AI inference services, potentially affecting critical applications that depend on real-time model inference.
Likely Case
Service crashes requiring manual restart, causing temporary disruption to inference workloads until service is restored.
If Mitigated
Minimal impact with proper network segmentation and request validation in place, though service could still crash if exploited.
🎯 Exploit Status
Exploitation requires sending a specially crafted invalid request; no authentication needed.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Check NVIDIA advisory for specific patched version
Vendor Advisory: https://nvidia.custhelp.com/app/answers/detail/a_id/5687
Restart Required: Yes
Instructions:
1. Review NVIDIA security advisory for patched version
2. Download latest Triton Inference Server from NVIDIA NGC
3. Stop current Triton service
4. Install updated version
5. Restart Triton service
6. Verify service functionality
🔧 Temporary Workarounds
Network Access Control
linuxRestrict access to Triton Inference Server to trusted networks only
# Linux firewall example
sudo iptables -A INPUT -p tcp --dport 8000 -s trusted_network -j ACCEPT
sudo iptables -A INPUT -p tcp --dport 8000 -j DROP
Request Validation Proxy
allDeploy a reverse proxy with request validation to filter malicious requests
# nginx config snippet
location /v2/models/ {
proxy_pass http://triton:8000;
# Add request size limits and validation
client_max_body_size 10M;
}
🧯 If You Can't Patch
- Implement strict network segmentation to isolate Triton servers from untrusted networks
- Deploy monitoring and alerting for service crashes with automated restart capabilities
🔍 How to Verify
Check if Vulnerable:
Check Triton version against NVIDIA advisory; if running unpatched version, assume vulnerableCheck Version:
curl -v http://localhost:8000/v2/health/ready 2>&1 | grep -i versionVerify Fix Applied:
Verify Triton version matches patched version from NVIDIA advisory and test with normal inference requests📡 Detection & Monitoring
Log Indicators:
- Segmentation fault errors in Triton logs
- Unexpected service termination
- High volume of malformed requests
Network Indicators:
- Spike in malformed HTTP requests to Triton port
- Requests with unusual payload sizes or structures
SIEM Query:
source="triton.logs" AND ("segmentation fault" OR "SIGSEGV" OR "unexpected termination")