
Security News
New CNA Scorecard Tool Ranks CVE Data Quality Across the Ecosystem
The CNA Scorecard ranks CVE issuers by data completeness, revealing major gaps in patch info and software identifiers across thousands of vulnerabilities.
github.com/nbutton23/zxcvbn-go
This is a goLang port of python-zxcvbn and zxcvbn, which are python and JavaScript password strength generators. zxcvbn attempts to give sound password advice through pattern matching and conservative entropy calculations. It finds 10k common passwords, common American names and surnames, common English words, and common patterns like dates, repeats (aaa), sequences (abcd), and QWERTY patterns.
Please refer to https://dropbox.tech/security/zxcvbn-realistic-password-strength-estimation for the full details and motivation behind zxcbvn. The source code for the original JavaScript (well, actually CoffeeScript) implementation can be found at:
https://github.com/lowe/zxcvbn
Python at:
https://github.com/dropbox/python-zxcvbn
For full motivation, see:
https://dropbox.tech/security/zxcvbn-realistic-password-strength-estimation
The zxcvbn module has the public method PasswordStrength() function. Import zxcvbn, and call PasswordStrength(password string, userInputs []string). The function will return a result dictionary with the following keys:
Entropy # bits
CrackTime # estimation of actual crack time, in seconds.
CrackTimeDisplay # same crack time, as a friendlier string: # "instant", "6 minutes", "centuries", etc.
Score # [0,1,2,3,4] if crack time is less than # [10^2, 10^4, 10^6, 10^8, Infinity]. # (useful for implementing a strength bar.)
MatchSequence # the list of patterns that zxcvbn based the # entropy calculation on.
CalcTime # how long it took to calculate an answer, # in milliseconds. usually only a few ms.
The userInputs argument is an splice of strings that zxcvbn will add to its internal dictionary. This can be whatever list of strings you like, but is meant for user inputs from other fields of the form, like name and email. That way a password that includes the user's personal info can be heavily penalized. This list is also good for site-specific vocabulary.
Bug reports and pull requests welcome!
Use zxcvbn_test.go to check how close to feature parity the project is.
Thanks to Dan Wheeler (https://github.com/lowe) for the CoffeeScript implementation (see above.) To repeat his outside acknowledgements (which remain useful, as always):
Many thanks to Mark Burnett for releasing his 10k top passwords list: https://xato.net/passwords/more-top-worst-passwords and for his 2006 book, "Perfect Passwords: Selection, Protection, Authentication"
Huge thanks to Wiktionary contributors for building a frequency list of English as used in television and movies: https://en.wiktionary.org/wiki/Wiktionary:Frequency_lists
Last but not least, big thanks to xkcd :) https://xkcd.com/936/
FAQs
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
The CNA Scorecard ranks CVE issuers by data completeness, revealing major gaps in patch info and software identifiers across thousands of vulnerabilities.
Research
/Security News
Two npm packages masquerading as WhatsApp developer libraries include a kill switch that deletes all files if the phone number isn’t whitelisted.
Research
/Security News
Socket uncovered 11 malicious Go packages using obfuscated loaders to fetch and execute second-stage payloads via C2 domains.