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Frank Elkos

Password Strength Checker

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The Science of Password Auditing, Entropy Bits & Brute-Force Resilience

Determining password strength requires mathematical precision rather than subjective guessing. Most user-created passwords suffer from cognitive predictability—relying on names, dates, or basic character swaps like '@' for 'a'. This auditor evaluates real computational resilience against modern automated cracking rigs.

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Mathematical Entropy Calculation: The True Measure of Strength

Password security is fundamentally governed by Shannon Entropy: $E = L imes \log_2(R)$, where $L$ is password length and $R$ is the size of the character pool. A 10-character password drawn from only lowercase letters yields just 47 bits of entropy, which an 8-GPU RTX 4090 hashcat rig can crack in under 12 minutes. Increasing the character pool with uppercase, digits, and symbols elevates entropy to 65.5 bits, extending search time to several years.

GPU Hashcat Cracking Speed Benchmark (NTLM Hashes)

Entropy TierBit RangeTypical PatternCrack Time (100 GH/s)
Very Weak< 30 bitsShort dictionary word (6 chars)Instant (< 0.001 sec)
Weak30 - 49 bitsWord + 2 numbers (e.g., Summer24)4.8 seconds
Moderate50 - 69 bitsMixed 10 chars with numbers3.2 weeks
Strong70 - 99 bitsRandom 14 chars with symbols4,200 years
Cryptographic Fortress100+ bitsRandom 18+ charactersCenturies of cluster compute

Dictionary Attacks, Rainbow Tables & Salting

Modern attackers do not guess blindly. They deploy precomputed rainbow tables and curated breach dictionaries (like RockYou2024 containing 10 billion leaked passwords). A password must not only be long; it must avoid recognizable linguistic roots and semantic associations.

Frequently Asked Questions

Does this tool send my password over the internet to test it? +

No. The entire strength analysis algorithm, entropy calculation, and pattern scanning execute 100% locally in your web browser. No network requests are made.

How does dictionary pattern detection work locally? +

The script scans for common keyboard walks (qwerty, 123456), repetitive sequences, and common word stems entirely in client-side memory.

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