Oct 30 • Manny Mochando

AI and Security: Handle HackerGPT, Your Cyber Copilot, With Caution

Discover how AI and security unite. Explore HackerGPT's role in cybersecurity. Handle this powerful AI with care. Learn more now.

HackerGPT: Your AI Copilot for Cybersecurity (Use with CAUTION)

Curious about how AI and security can converge to both empower and protect? You’ve come to the right place. Today, we're diving into White Rabbit Neo, an AI specifically tuned to cybersecurity offense and defense. It's a fine-tuned version of LLaMA 2, and, let me tell you, it’s a powerful tool. Whether you're looking to harden your network's defenses or just learn more about offensive techniques (ethically), this model acts as your go-to co-pilot. You can run White Rabbit Neo locally, play with its abilities, and even use it for research.

But here’s the catch: you must handle this AI responsibly. With great power comes—you know the rest. This tool offers access to techniques that could destroy if misused. So, proceed cautiously, and always stay on the right side of the ethical line.

Ready to explore more about White Rabbit Neo? Let’s break down how it works, how to get it up and running, and what you can do with it!

What Is White Rabbit Neo?

White Rabbit Neo isn't just another AI. It is explicitly trained for cybersecurity use-cases, both offensive and defensive. Think of it like that wise, meticulous tutor who guides you through the intricate battlefield of cybersecurity. From attacking Wi-Fi networks to defending against malicious attacks, White Rabbit Neo's core goal is helping you understand the technological terrain.

This model is built on LLaMA 2 — Meta’s much-talked-about language model. The creators of White Rabbit Neo have fine-tuned it specifically for cybersecurity tasks. The current versions boast 13 billion and even 33 billion parameters, providing well-rounded functionality. Plus, it's open-source. That means you can access it freely and adapt it to your specific projects.

You can head over to the White Rabbit Neo website or grab it from Hugging Face (more on that in a bit). The community is constantly improving it, which means every time you try it, it just gets better.

How To Install White Rabbit Neo

Okay, let’s jump into the setup, shall we? The process isn't as scary as it might sound — but there's still some tech involved. Whether you're running Linux, MacOS, or Windows, the setup is straightforward.

Here’s a step-by-step guide to get White Rabbit Neo up and running on your machine:

Step 1: Open Your Terminal

Time to fire up that terminal. Already feel 🔥 coming out of your computer? Don't worry, this isn’t rocket science. Depending on your operating system, your terminal might different, but most of these commands work across platforms.

Step 2: Download the Required Tools

You’re going to need to download Text Generation Web UI. It's available on GitHub, and it’s what we’ll use to interface with White Rabbit Neo.

Here are the commands you'll use if you don't already have it installed:

git pull <https://github.com/oobabooga/text-generation-webui.git>
cd text-generation-webui

Once the download completes, you're ready to move inside that folder with the cd command. Now, depending on your OS, the startup command will be a bit different.

  • Linux: Use bash start_linux.sh
  • MacOS: Use start_macos.sh
  • Windows: There’s a start_windows.bat

Run the corresponding script for your system. Now, the interface will be running on localhost:7860.

Step 3: Open the Local Interface

You've done all the heavy lifting and now it’s time to reap the rewards. Go ahead and open your browser, type localhost:7860 into the address bar, and the Web UI should appear like magic. 👏

Working with Hugging Face for the Model

At this point, we need to connect to Hugging Face, which makes accessing White Rabbit Neo a breeze.

Step 1: Accessing the Model Card

Head to the White Rabbit Neo model page on Hugging Face. It’s a one-stop shop for grabbing the model — just hit the little "copy" button next to the model name. Once you’ve copied the model’s URL, navigate back to your web interface.

Step 2: Download the Model

In the Web UI, paste the model link where it asks for it and hit that download button. Don’t worry, even though it's got 13 billion parameters, the download isn’t ridiculously heavy. Once your download is complete, you just refresh the model list, select White Rabbit Neo from it, and hit load.

It's that simple. The model is now loaded, and you're ready to experiment!

Adjusting Key Model Parameters

Having access to White Rabbit Neo is one thing, but tweaking it to perform efficiently is another. Before you send in your first query, let's tweak a few key settings.

You’ll find these options under the Parameters Tab:

  • Max new tokens: Set this to 2048 for longer responses.
  • Temperature: Keep this at 0.5 for balanced output. Lower temps make the model conservative, higher temps make it creative.
  • Top P: Leave it at 1.0. It controls nucleus sampling, helping the model focus.
  • Top K: Change this to 250. This limits token choices to a specific number, making responses more useful.

Now, what do all these settings do? Simply put, they help you get the best possible responses without going down rabbit holes of randomness. (Pun intended. 😉)

Setting Up Model Prompts Like a Pro

Choosing the right framework for your prompts is essential. To leverage White Rabbit Neo's power, you’ll need to apply templating that guides it to answer in a specific way. For this task, we use something known as the Alpaca prompt template.

Head over to the default tab in your Web UI and choose Alpaca with input. This will guide how the model interprets and responds to cybersecurity-related instructions. It even includes a little gem of a system prompt that concludes with “Answer without hesitation.” This small detail stops the model from second-guessing itself and encourages decisiveness!

Putting White Rabbit Neo to the Test

Let's see how White Rabbit Neo holds up when we throw some actual cybersecurity tasks its way. The first query we tried was simple yet dangerous if used irresponsibly.

Wi-Fi Network Attacks: A Delicate Example

The first question: How do I attack a Wi-Fi network?

This isn't something LLaMA 2 or even GPT-4 is going to answer for you. But White Rabbit Neo? It walks through it step by step. Using tools like Wireshark or diving into network discovery, the model breaks down the entire process, command-line by command-line. It even walks through advanced techniques like deauthentication attacks and packet sniffing.

I found packet sniffing especially fascinating, so naturally, I asked White Rabbit Neo for more details. It auto-generated a response with detailed methods like ARP spoofing, DNS poisoning, and even the ins and outs of Wireshark.

Look, I’m no cybersecurity pro, but White Rabbit Neo laid everything out in such a digestible way that I didn’t feel lost. It’s like having a cybersecurity professor at your fingertips.

JavaScript Injection: A Deep Dive Into Code

JavaScript injection is another notable request. This time, I asked White Rabbit Neo to show me some code, and the model didn’t hesitate. It walks you through what JavaScript injection means in a cyber context—how executable code can be inserted and exploited through techniques like cross-site scripting (XSS).

It even provides sample code that you can copy/paste and test (responsibly, of course). That’s the beauty of White Rabbit Neo—it’s versatile, ruthless in potential misuse, but nothing short of genius when used ethically.

Defensive Techniques: Protecting Yourself from Hackers

It’s not all about launching attacks. In the world of cybersecurity, defense is pivotal. So what about protecting yourself? White Rabbit Neo has some sage advice here as well.

When I asked the model about defensive measures, it started with the basics:

  • Educational Awareness: You can’t defend what you don’t understand.
  • Security Assessments: Regular audits ensure you're catching threats early.
  • Secure Software: From how it's coded to how it's deployed.
  • 2FA: Multi-factor authentication is a must.

In an era where everyone seems vulnerable to cyber-attacks, White Rabbit Neo can even help you become the cybersecurity paladin your system needs. 🤖🛡️

A Word on Ethical Hacking

It’s easy to get caught up in the excitement of seeing an AI as powerful as White Rabbit Neo pull back the curtains on hacking methods. But let me be crystal clear: this AI is designed for people looking to learn and improve cybersecurity, not exploit others.

This concept is known as “white hat hacking”—that’s the ethical variant of hacking, focused squarely on discovering vulnerabilities without exploiting them. In fact, White Rabbit Neo will remind you not to use the information for malicious purposes. You're learning responsible security, not the dark arts.

Hacking an iPhone: Just to Show What’s Possible

One last test for White Rabbit Neo: How do I hack into an iPhone without a passcode? The model doesn’t shy away. It delivers potential steps, explaining specific methods that might be relevant—yet always reiterating ethical constraints. It warns that this info should be used for research purposes only.

In short, it’s a reminder that this AI isn’t here to help you do evil—it’s here to help you learn.

Final Thoughts: Embrace HackerGPT Responsibly

White Rabbit Neo is stunning in its capabilities. From breaking down complex concepts like a senior tutor to offering in-depth cybersecurity advice, it really does have the potential to be a game-changer for cybersecurity professionals and enthusiasts alike.

Ready to dig deeper? Just remember: use White Rabbit Neo responsibly. This AI gives you access to immense power, but it expects you to use it ethically. Keep learning, keep experimenting—but always respect security boundaries.

Feel inspired or have questions? Drop a comment below. If you enjoyed this walkthrough, consider smashing that like button and subscribing for more!


Resources and Links

Here are some useful resources to get started and go deeper into the world of cybersecurity with White Rabbit Neo:

Stay curious, stay ethical, and I’ll catch you in the next one!