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The utility judges abcdefghijklmnopqrstuvwxyz to be a strong password even though it clearly has a pattern. I understand that since this meter is data-driven, it cannot be expected to identify such patterns. Anyhow,
Is it feasible to improve the model to understand (such and other) patterns along with those in the training data?
Does it actually make sense for a password meter to have this capability?
The text was updated successfully, but these errors were encountered:
The utility judges
abcdefghijklmnopqrstuvwxyz
to be a strong password even though it clearly has a pattern. I understand that since this meter is data-driven, it cannot be expected to identify such patterns. Anyhow,The text was updated successfully, but these errors were encountered: