Learned patterns
A trained Logistic Regression model analyzes features and character patterns learned from leaked and generated password examples.
Small patterns.
Big vulnerabilities.
Look beyond letters, numbers, and symbols. Discover how closely a password resembles patterns found in leaked data.
Explore your password risk ↗01 / THE ANALYZER
A little insight goes a long way.
One example. Two different perspectives.
⌁ Check a password
AI POWEREDYour insight starts here.
Enter an example to see its estimated pattern risk, practical guidance, and optional breach results.
● Lower risk● Moderate● Higher risk
ESTIMATED LEAKED-PATTERN RISK
Higher means more similar to learned leaked-password patterns. This is not the probability of an account being hacked.
Your next steps
Known-breach lookup
Data from Have I Been Pwned ↗02 / BEHIND THE RESULT
More than a strength meter.
Independent evidence
The optional breach lookup checks for an exact match in known breach data. It is a database lookup, separate from the AI estimate.
A practical next step
Rule-based guidance helps you spot short lengths, repeated characters, and predictable sequences. Long and unique is a good start.
PRIVACY, EXPLAINED
Know where your
example goes.
Your browser sends your example to this application server for AI analysis. The application does not store password entries or include them in its logs.
For the optional breach check, the server creates a hash and sends only its first five characters to Have I Been Pwned. Neither the password nor its complete hash is sent to that service.
Use invented examples. A low risk score or a password absent from breach data does not guarantee safety. Public deployment requires HTTPS.