CVE-2025-23327

7.5 HIGH

📋 TL;DR

NVIDIA Triton Inference Server contains an integer overflow vulnerability (CWE-190) where specially crafted inputs could cause denial of service or data tampering. This affects both Windows and Linux deployments of Triton Inference Server. Organizations using vulnerable versions for AI inference workloads are at risk.

💻 Affected Systems

Products:
  • NVIDIA Triton Inference Server
Versions: Versions prior to 24.09
Operating Systems: Windows, Linux
Default Config Vulnerable: ⚠️ Yes
Notes: Affects both Windows and Linux deployments. The vulnerability is present in default configurations when processing inference requests.

📦 What is this software?

⚠️ Risk & Real-World Impact

🔴

Worst Case

Complete service disruption through denial of service combined with potential data corruption or tampering in inference results, affecting downstream applications.

🟠

Likely Case

Service instability or crashes leading to inference pipeline interruptions and degraded AI service availability.

🟢

If Mitigated

Limited impact with proper input validation and network segmentation, potentially causing only temporary service degradation.

🌐 Internet-Facing: HIGH
🏢 Internal Only: MEDIUM

🎯 Exploit Status

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

Exploitation requires sending specially crafted inputs to the inference server, which could be done via API calls. No public exploit code is currently available.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: 24.09 or later

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

Restart Required: Yes

Instructions:

1. Download NVIDIA Triton Inference Server version 24.09 or later from NVIDIA's official channels. 2. Stop the current Triton service. 3. Install the updated version following NVIDIA's installation guide. 4. Restart the Triton service. 5. Verify the update was successful.

🔧 Temporary Workarounds

Input Validation Filter

all

Implement input validation at the API gateway or load balancer to filter suspicious requests before they reach Triton.

Network Segmentation

linux

Restrict Triton server access to trusted clients only using firewall rules.

# Example Linux iptables rule
sudo iptables -A INPUT -p tcp --dport 8000 -s trusted_ip_range -j ACCEPT
sudo iptables -A INPUT -p tcp --dport 8000 -j DROP

🧯 If You Can't Patch

  • Implement strict network access controls to limit Triton server exposure to only necessary clients.
  • Deploy Web Application Firewall (WAF) or API gateway with input validation rules to filter malicious requests.

🔍 How to Verify

Check if Vulnerable:

Check Triton server version using the Triton client or by examining the server logs/configuration. Versions before 24.09 are vulnerable.

Check Version:

curl -v http://triton-server:8000/v2/health/ready 2>&1 | grep -i version

Verify Fix Applied:

Confirm the Triton server version is 24.09 or later and test inference functionality with normal workloads.

📡 Detection & Monitoring

Log Indicators:

  • Unusual request patterns with malformed inputs
  • Server crashes or restarts
  • Error messages related to integer overflow or memory issues

Network Indicators:

  • Unusual traffic spikes to Triton endpoints
  • Requests with abnormally large payloads or parameters

SIEM Query:

source="triton_server" AND (error OR crash OR restart) AND NOT user="normal_workload"

🔗 References

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