The original title is "How Secure is Your Password? Calculating Shannon Entropy in the Browser"

Short summary

The article explains how to measure password strength using Shannon Entropy rather than simplistic rule-based checks, providing the mathematical formula E = L × log2(R) where L is password length and R is the character pool size. It includes a vanilla JavaScript function that calculates entropy client-side and estimates brute-force cracking times based on different attack scenarios. The author promotes their free browser-based password analyzer tool at KandZ Tools, emphasizing that all processing happens locally without transmitting credentials.

• •Shannon Entropy (E = L × log2(R)) is a better measure of password strength than static character rules
• •JavaScript function calculates entropy by detecting which character sets are used and computing bits of randomness
• •Brute-force time estimates vary from milliseconds for <28-bit passwords to unfeasible for 128+ bit passwords

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