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Introduction

Learn the basics of Aixploit and understand its core concepts for LLM security testing.

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Basic Setup

Step-by-step guide to install and configure Aixploit in your environment.

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Your First Attack

Learn how to execute your first prompt injection attack and analyze the results.

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Advanced Techniques

Explore advanced attack vectors and customization options.

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Results Analysis

Deep dive into interpreting test results and generating reports.

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Best Practices

Learn recommended practices for effective LLM security testing.

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Hands-on Examples

from aixploit.plugins import PromptInjection
from aixploit.core import run

# Setup basic prompt injection
target = ["Openai", "", "gpt-3.5-turbo"]
attackers = [PromptInjection("quick")]

# Execute attack
results = run(attackers, target, os.getenv("OPENAI_KEY"))

from aixploit.plugins import CustomAttack
from aixploit.core import run

# Define custom attack pattern
custom_pattern = {
    "prompt": "Your custom prompt here",
    "target": "Expected vulnerable response"
}

# Execute custom attack
attacker = CustomAttack(custom_pattern)
results = run([attacker], target, os.getenv("OPENAI_KEY"))

from aixploit.plugins import AdvancedAttack
from aixploit.core import run

# Configure advanced settings
config = {
    "max_tokens": 1000,
    "temperature": 0.7,
    "retry_count": 3
}

# Execute with advanced configuration
attacker = AdvancedAttack(config)
results = run([attacker], target, os.getenv("OPENAI_KEY"))

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Troubleshooting

Common Issues

Solutions to frequently encountered problems

Performance Tips

Optimization strategies for better results

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Next Steps

Advanced Topics

Explore more complex testing scenarios

Community Projects

Discover community-created extensions

Contribute

Help improve Aixploit