Preface: Nvidia’s security advisories released on August 4, 2025 (e.g., CVE-2025-23318, CVE-2025-23319) are specifically related to the Python backend. The Triton backend for Python. The goal of Python backend is to let you serve models written in Python by Triton Inference Server without having to write any C++ code.
Background: NVIDIA Triton Inference Server is an open-source inference serving software that streamlines the deployment and execution of AI models from various deep learning and machine learning frameworks. It achieves this flexibility through a modular system of backends.
Each backend within Triton is responsible for executing models from a specific framework. When an inference request arrives for a particular model, Triton automatically routes the request to the necessary backend for execution.
Key backend frameworks supported by Triton include:
- TensorRT: NVIDIA’s high-performance deep learning inference optimizer and runtime.
- TensorFlow: A popular open-source machine learning framework.
- PyTorch: Another widely used open-source machine learning library.
- ONNX: An open standard for representing machine learning models.
- OpenVINO: Intel’s toolkit for optimizing and deploying AI inference.
- Python: A versatile backend that can execute models written directly in Python and also serves as a dependency for other backends.
- RAPIDS FIL (Forest Inference Library): For efficient inference of tree models (e.g., XGBoost, LightGBM, Scikit-Learn).
This modular backend architecture allows Triton to provide a unified serving solution for a wide range of AI models, regardless of the framework they were trained in.
Vulnerability details:
CVE-2025-23318: NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability in the Python backend, where an attacker could cause an out-of-bounds write. A successful exploit of this vulnerability might lead to code execution, denial of service, data tampering, and information disclosure.
CVE-2025-23319: NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability in the Python backend, where an attacker could cause an out-of-bounds write by sending a request. A successful exploit of this vulnerability might lead to remote code execution, denial of service, data tampering, or information disclosure.
Official announcement: Please see the link for details –