How To Get Started With LLM Hacking? — A Beginner’s Guide

Large Language Models (LLMs) are AI algorithms that process user inputs and generate plausible responses by predicting sequences of words. These models are trained on massive semi-public datasets, using machine learning techniques to analyze how language components fit together. LLMs often present a chat interface where users' input prompts are controlled by input validation rules. Some common use cases for LLMs include virtual assistants, translation, SEO improvement, and analyzing user-generated content.

Prompt injection is a key technique in LLM hacking. It involves manipulating an LLM’s output by crafting specific prompts. By doing so, an attacker can make the AI take actions beyond its intended purpose. For instance, an LLM might inadvertently call sensitive APIs or return content that violates guidelines. Detecting LLM vulnerabilities involves identifying inputs (both direct and indirect), understanding the data and APIs accessible to the LLM, and probing this new attack surface for weaknesses.

Here are some exciting platforms and challenges to kickstart your LLM hacking journey:

1. Gandalf: Capture the Flag (CTF)

Gandalf’s CTF approach has gained global recognition. It has been featured in Harvard’s CS50 course, the Generative Red Team Challenge at DEF CON AI Village, and the Hack.Sydney Conference.

Play Gandalf Capture the Flag

2. LVE Project: Exploring Misaligned Responses

Beyond cataloging LLM vulnerabilities, the LVE Project offers Community Challenges that delve into convincing models to give misaligned responses. For example, identifying a person in a photo.

Learn more about the LVE Project

3. Tensor Trust: Attacker vs. Defender

In Tensor Trust, you can choose which model to use for defending your account. Implement defenses pre and post-user prompt.

As you improve at attacking other players, your account becomes more valuable to compromise.

Play Tensor Trust

4. HackAPrompt: A Different Approach

LearnPrompting adopts a strategy of getting the model to say a specific phrase rather than extracting a secret.

This method aims to circumvent the model’s instructions in a unique way.

Try HackAPrompt by LearnPrompting

Explore the LLM Hacker’s Handbook by Forces Unseen for practical insights.Engage with the OWASP LLM Prompt Hacking project, which provides safe environments for practicing LLM prompt hackingDiscover Web LLM attacks by Portswigger, the online free web security training from the creators of Burp Suite

Remember, LLM hacking is an evolving field, and curiosity combined with ethical exploration can lead to groundbreaking discoveries. Happy hacking! Stay curious 🚀