sean-t-smith/pwned-by-passgpt
Password cracking research using the Have I Been Pwned (HIBP) dataset to evaluate the effectiveness of the PassGPT Large Language Model (LLM).
This project provides a methodology and tools for understanding and performing password cracking. It takes in password hashes from datasets like Have I Been Pwned or an organization's NTDS.dit file, and demonstrates how to crack them using both traditional techniques and novel AI-based models like PassGPT. Cybersecurity professionals, penetration testers, and security auditors can use this to assess password policy effectiveness and identify vulnerabilities.
No commits in the last 6 months.
Use this if you are a cybersecurity professional needing to efficiently demonstrate password vulnerabilities, test security policies, or escalate privileges during a penetration test.
Not ideal if you are looking for a simple, automated password cracking service without wanting to understand the underlying methodology and tools.
Stars
66
Forks
7
Language
Python
License
GPL-3.0
Category
Last pushed
Apr 13, 2024
Commits (30d)
0
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