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HIBPv7 Hash Cracking Resources

[Update 10/15/2023] - Temporarily unarchived the repository to update references. Some of the projects used are now legacy with other solutions taking their place. This repository will be maintained as a historical reference point for HIBPv7.

I needed a large sample of actual password hashes for analysis to improve password security. The HaveIBeenPwned repository was a great collection of password hashes from breaches and covered a diversity of environments. The hashes were made public and over time I cracked them for analysis:

  • HIBPv7: 578,006,177/613,584,246 (94.20%) passwords

Resources in this repository use this sample as a base of real-world passwords and are utilized in a few different applications.

While looking at the HIBP dataset, I realized that many passwords were low quality and would not meet AD password complexity requirements. I wanted to clean up the input data because the better the input set, the better the output. I created filtered sub lists to provide meaningful analysis that could be used to develop other resources.

Getting Started:

Wordlists

HIBPv7_7M.txt: Contains the top 7 million most popular passwords from HIBPv7 in no particular order. From the top 7 million most popular passwords, I cracked 99.65% of them, and this is the resulting list.

HIBPv7_100M-min-reqs.txt: From the top 100 million most popular passwords in HIBPv7, I cracked 99.18% of them, and this is the result after filtering for minimum complexity requirements. The wordlist contains around 8.5 million passwords.

HIBPv7_Top15_Masks-min-reqs.txt: Wordlist from the filtered down HIBP data (~70m passwords) and the set's top 15 most popular password masks. The wordlist contains around 30 million passwords and would meet the minimum complexity requirements of most password policies.

Masks and Tokens

Password Masks: These password masks are in Hashcat format taken from the filtered down HIBP dataset and sorted by most popular.

Common tokens: A list of password tokens is generated using the Python NTLK library. The passwords were passed to a parser that attempted to filter down the passwords to their base tokens and then sorted by most common. This list results from parsing tokens from the filtered down HIBP set.

Summary:

  • Wordlists:
    • HIBPv7_7m.txt
      • Top 7M passwords (99.65%) from HIBPv7
    • HIBPv7_100M_min-reqs.txt
      • 8.5m passwords from HIBPv7 that would meet min AD complexity requirements
    • HIBPv7_Top15_Masks-min-reqs.txt
      • 30m passwords from HIBPv7 based on the top 15 masks that would meet min AD complexity requirements
  • Masks and Tokens
    • password_masks_min-reqs
      • Most popular password masks from all HIBP data filtered for minimum complexity requirements.
    • password_masks_no-reqs
      • Most popular password masks from all HIBP data filtered for passwords greater than or equal to 8 characters.
    • common_tokens_min-reqs
      • Most popular password words/tokens from all HIBP data filtered for minimum complexity requirements.
    • Text files are just the words and csv files contain additional metadata

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