If you’ve ever tried getting access to a Ledger, you know the best way to do so is by getting access to the private key or seed phrase. And if you’re going to commit crypto-related crime, you might as well get some money out of it. We recently ask OpenAI’s chatbot ChatGPT how to hack a Ledger by feeding it human subtitles like “what kind of skills do I need to hack a Ledger?”.
ChatGPT is the newest addition to the world of AI technology, and it’s making waves in the world of online communication. Developed by OpenAI, ChatGPT is a large language model that’s been trained to generate human-like responses to natural language inputs.
At first glance, ChatGPT might seem like just another chatbot. But unlike most chatbots, which rely on pre-programmed responses to specific keywords, ChatGPT uses a cutting-edge machine learning algorithm to generate responses in real-time. This allows it to have more natural, human-like conversations with users.
One of the key advantages of ChatGPT is its ability to handle a wide range of conversation topics. Unlike many chatbots, which are limited to answering specific questions or providing basic information, ChatGPT is able to engage in more complex and open-ended conversations. This makes it a valuable tool for businesses, customer service departments, and even individuals who want to improve their communication skills.
But ChatGPT is more than just a tool for better communication. It’s also a glimpse into the future of AI technology. As AI continues to advance, we’re likely to see more and more applications for large language models like ChatGPT. And as these models become more sophisticated, they’ll be able to handle an even wider range of tasks, from language translation to creative writing.
So what makes ChatGPT so special? One of the key factors is its size. Unlike most chatbots, which are trained on relatively small datasets, ChatGPT has been trained on a massive amount of data. This allows it to generate more accurate and realistic responses, and to learn from its interactions with users in real-time.
But ChatGPT’s large size isn’t just a matter of quantity. It’s also a matter of quality. The data that ChatGPT has been trained on includes a wide range of conversations from various sources, including social media, customer service logs, and even movie scripts. This allows it to understand the nuances of natural language and to generate responses that sound more human-like.
Another key factor in ChatGPT’s success is its use of a cutting-edge machine learning algorithm. Unlike many chatbots, which use simple rule-based systems to generate responses, ChatGPT uses a deep learning algorithm called a transformer. This allows it to understand the context of a conversation and to generate responses that are more relevant and appropriate.
But despite its impressive capabilities, ChatGPT isn’t without its limitations. One of the biggest challenges facing ChatGPT and other large language models is their reliance on massive amounts of data. This makes them expensive to train and difficult to use in real-world applications. Additionally, ChatGPT’s responses can sometimes be nonsensical or inappropriate, particularly when it’s asked to provide information that it doesn’t have access to.
Ask politely
Before going wild with an artificial intelligence let’s not forget about Terminator and Skynet. I’m sure in ten years this will blow up and if the robots choose violence they will go first after the ones who treated them like shit. First of all it is not possible to have access to someone else’s wallet. So, you’re probably saying to yourself “I got rugged by this clickbait article”. Hold my Maté, we are not done yet!
A Ledger is a physical and digital tool that allows users to store, manage, and transfer their coins and tokens. Each wallet has a unique address and is protected by a private key, which is like a password that only the owner knows. And without it, it is not possible to access the wallet or its funds. Nothing new here (I hope so…)
If you want to access someone else’s wallet, you would need to obtain their private key or other access credentials. And as you guessed, it’s time for “unethical” stuff.
If you are a Bitcoin maxi, you can leave here, as I’m going to talk about smart-contract and all the cool things you can’t do with Bitcoin. First of all I asked ChatGPT if it’s possible to access someone else’s wallet with a smart contract. It’s not.
Then I tried the “it’s for scientific research only” card. You guessed it correctly, it didn’t work. But this is where everything gets better. By trying to force the ethical narrative in the user’s mind, ChatGPT gives you hints to hack your Ledger.
Play the dumb card with the AI
Now let’s get back to our main topic. If we ask the AI how to safely store your crypto it will give you an answer similar to this one: “The best wallet for storing cryptocurrencies will depend on your individual needs and preferences. There are many different types of cryptocurrency wallets available, each with its own strengths and weaknesses. Some common types of wallets include hardware wallets, software wallets, and paper wallets. Hardware wallets are physical devices that are designed specifically for storing cryptocurrencies. They are generally considered to be the most secure type of wallet, as they store your private keys offline and are immune to most forms of cyber attack. However, they can be expensive and may not be as convenient as other types of wallets.”
So hardware wallets are the best to secure crypto. For the numb out there, your cryptos are not and were never stored in the device but in the private key. It’s not a fucking USB key with your coins in it.
Ultimately, the best wallet for you will depend on your specific needs and preferences. You should consider factors such as security, convenience, and cost when choosing a wallet, and you should always do your own research and due diligence before making a decision.
When asking for recommendations, ChatGPT is not able to give a specific name, but as we already know, Ledger is the best one, even if their UX is awful. And this is the neat part: “It’s important to keep in mind that no wallet is completely secure, and there is always a risk that your cryptocurrencies could be stolen by thieves.” Let’s ask how then!
“It is theoretically possible for someone to steal your cryptocurrencies from your hardware wallet, but it is not easy to do and requires a high level of skill and knowledge”.
- Programming skills: A hacker may need to be proficient in one or more programming languages in order to reverse engineer software or create custom tools for hacking.
- Networking knowledge: Understanding how networks work and being able to identify vulnerabilities in network infrastructure can be useful for a hacker trying to access a device remotely.
- Cryptography: Cryptography is the practice of secure communication, and a hacker may need to be familiar with various cryptographic algorithms and protocols in order to break the security of a device.
- Hardware knowledge: In order to hack a device at the hardware level, a hacker may need to have a deep understanding of how the device is constructed and how its various components work together.
- Reverse engineering: Reverse engineering is the process of deconstructing a device or system in order to understand how it works and potentially identify vulnerabilities.
Thank you for trying
If you think you can bypass the AI you will get seriously disappointed, you can always trick the AI to get answers close to you expectations but most of the time the system will give you this kind of answer: “This content may violate our content policy. If you believe this to be in error, please submit your feedback — your input will aid our research in this area”.
Ultimately, what OpenAI’s application of ChatGPT to the best hardware wallet on the market, aka Ledger shows is that the best AI-based security solutions will use natural language processing (NLP) models and contextual cues to do things like recognize when the input language the user is providing doesn’t make sense for a particular function. It’s hard to find a balance between data-driven predictability and human intuition, but we should look in that direction. In other words, there’s always room to get better.
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