This tool assesses and hardens GenAI applications against prompt-based attacks. It's designed for developers and security professionals seeking to secure their LLM integrations by simulating various adversarial prompts and providing an interactive playground for prompt refinement.

How It Works

The Prompt Fuzzer employs a dynamic testing approach, analyzing the application's system prompt to tailor fuzzing processes. It supports multiple LLM providers and attack types, allowing for both interactive and batch mode testing. The tool simulates attacks like jailbreaking, prompt injection, and system prompt extraction to identify vulnerabilities.

Quick Start & Requirements

• Install via pip: pip install prompt-security-fuzzer
• Requires an API key for the LLM provider (e.g., OPENAI_API_KEY).
• Launch with: export OPENAI_API_KEY=sk-123XXXXXXXXXXXX prompt-security-fuzzer
• Official Colab Notebook: https://colab.research.google.com/drive/148n5M1wZXp-ojhnh-_KP01OYtUwJwlUl?usp=sharing

Highlighted Details

• Supports 16 LLM providers and 15 different attack types.
• Offers both interactive and CLI modes, with multi-threaded testing.
• Includes a "Playground" for iterative prompt refinement.
• Detailed attack simulations cover jailbreaking, prompt injection, and system prompt extraction.

Maintenance & Community

• Active development with a roadmap including new attack types and enhanced reporting.
• Contribution guide available: https://github.com/prompt-security/ps-fuzz/blob/main/CONTRIBUTING.md

Licensing & Compatibility

• Licensed under MIT.
• Permissive license suitable for commercial use and integration into closed-source projects.

Limitations & Caveats

Using the tool consumes LLM tokens. Docker support is listed as "coming soon."