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Massive Memory Footprint #363

@MD-Mushfiqur123

Description

@MD-Mushfiqur123

Location: src/frequency_lists.coffee (792,976 bytes)
Issue:

Contains ~800KB of hardcoded password dictionaries
Loads entirely into memory on every initialization
No lazy loading or streaming
Impact:

High memory usage (~8MB after parsing)
Slow initialization
Poor mobile performance
🔒 SECURITY CONCERN: No Input Sanitization
Location: src/main.coffee:12-14

Issue: User input processing lacks proper validation:
for arg in user_inputs
if typeof arg in ["string", "number", "boolean"]
sanitized_inputs.push arg.toString().toLowerCase()
Risk:

No length limits on user inputs
Potential memory exhaustion attacks
No protection against malicious input patterns
📊 SUMMARY

Image Immediate Action Required: Fix the integer overflow detection in bruteforce_guesses() - this is a critical security vulnerability that compromises the entire password strength estimation system.

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