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80 changes: 80 additions & 0 deletions SECURITY.md
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# Security Policy

## Reporting a Vulnerability

NVIDIA is dedicated to the security and trust of our software products and services, including all source code repositories managed through our organization.

To report a potential security vulnerability, please use one of the following channels:

1. **NVIDIA Vulnerability Disclosure Program** (preferred): https://www.nvidia.com/en-us/security/
2. **Web form:** [Security Vulnerability Submission Form](https://www.nvidia.com/object/submit-security-vulnerability.html)
3. **Email:** [NVIDIA PSIRT](mailto:psirt@nvidia.com). Please encrypt sensitive reports with NVIDIA's [PGP key](https://www.nvidia.com/en-us/security/pgp-key).
4. **GitHub Private Vulnerability Reporting (where enabled):** use the "Report a vulnerability" button on the Security tab of this repository.

**Do not open a public issue or pull request to report a vulnerability.**

Please include:

* Product or component name and version or branch
* Type of vulnerability
* Steps to reproduce
* Proof of concept, if available
* Potential impact and how it could be exploited

See https://www.nvidia.com/en-us/security/ for past NVIDIA Security Bulletins and Notices.

## Security Architecture and Context

**Project:** Triton Python, C++ and Java client libraries, and GRPC-generated client examples for go, java and scala.

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P2 Project scope omits clients. The project description leaves out the Rust client library and JavaScript generated-client example, although both remain in this repository. Readers assessing security coverage or reporting a vulnerability in either component may be unsure whether this policy applies.

Note: If this suggestion doesn't match your team's coding style, reply to this and let me know. I'll remember it for next time!


**Software type:** Software component (library, backend, client or tool) used as part of a Triton Inference Server deployment.

**Security boundaries:** The main security boundary is between this component and the data, models and configuration it is given, and between it and the server or application that hosts it.

**Repository Exposure Classification:** Public.

**Service Exposure Classification:** Deployment-dependent. Exposure depends on how the software is deployed and configured by the operator.

## Threat Model

1. **Untrusted input:** Requests, models, configuration or data supplied to this component may be malformed or malicious, and could cause crashes, memory errors or unintended behavior if not validated.
2. **Supply chain:** Source and build dependencies fetched at build or install time may be compromised, outdated or unpinned.
3. **Network exposure:** When deployed behind a network-facing server, endpoints may be reachable by untrusted clients. This component does not by itself provide authentication, authorization or encryption.
4. **Resource exhaustion:** Oversized or numerous requests may consume memory, compute or other resources and degrade availability.
5. **Information disclosure:** Logs, metrics and error messages may reveal sensitive data such as paths, identifiers or request content.

## Critical Security Assumptions

* The component is deployed in a trusted environment or behind a gateway that provides authentication, authorization, TLS and rate limiting.
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* Models, configuration and other inputs come from trusted sources.
* Dependencies and the build environment are kept up to date and obtained from trusted sources.
* Operators protect secrets, certificates and credentials, and restrict access to logs and metrics.
* Host operating system, driver and hardware security are the operator's responsibility.

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P2 security Local shared-memory boundary omitted. General host-security language replaces the warning that shared-memory access depends on local permissions and handle secrecy, and that regions require cleanup. A gateway does not protect this local boundary. Operators using system or CUDA shared memory may overlook access to tensor data by other local processes. How this was verified: The C++ client creates and maps POSIX shared-memory regions, exposes a separate unlink operation, and the CUDA client exports IPC handles.

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