Password Strength Analyzer & Generator – Entropy Scoring + Secure Generation

1. Introduction

The Password Strength Analyzer & Generator is a Python-based cybersecurity project designed to help users create and evaluate strong passwords. It analyzes complexity, length, and randomness, gives a strength score with real-time feedback, and generates secure passwords using customizable criteria (length, character types, pattern avoidance). The project promotes better password hygiene to resist brute-force and dictionary attacks.

2. Existing System vs Proposed System

3. Working

1. Input: User enters a password or requests generation.
2. Analysis: Length, character variety, dictionary terms, repetition/sequence checks.
3. Scoring: Numerical score → Weak / Moderate / Strong.
4. Suggestion: Actionable tips to improve security.
5. Generation: Produce a strong random password (length/charset options).

4. Technology Stack

• Language: Python
• Libraries: secrets, random, string, re, math, tkinter/Flask
• Algorithm: Entropy scoring + rule-based strength classification
• Storage: Optional SQLite/Encrypted text (AES) for generated passwords
• Add-ons: Clipboard copy, password history

5. Modules

6. Advantages

• Educates users on strong password habits.
• Generates unique, secure passwords offline.
• Real-time feedback for better awareness.
• Avoids dictionary/predictable patterns.
• Lightweight and privacy-preserving.

7. Applications

• Password management & onboarding checks.
• Cybersecurity awareness training.
• Website/mobile password validation modules.
• Student labs in ethical hacking & security.
• IT audits to evaluate password strength.

Python Integration Sketch (Entropy + Generator)

import math, re, secrets, string

DICT = {"password","welcome","admin","qwerty","letmein"}  # replace with larger set
SEQ = ["abcdefghijklmnopqrstuvwxyz","qwertyuiop","0123456789"]

def has_seq(p, min_run=4):
    low = p.lower()
    for s in SEQ:
        for i in range(len(s)-min_run+1):
            run = s[i:i+min_run]
            if run in low or run[::-1] in low:
                return True
    return False

def charset_size(p):
    size = 0
    pools = [string.ascii_lowercase, string.ascii_uppercase,
             string.digits, string.punctuation]
    for pool in pools:
        if any(c in pool for c in p): size += len(pool)
    return max(size, 1)

def entropy_bits(p):
    # Shannon approximation for uniform random over chosen charset
    return len(p) * math.log2(charset_size(p))

def strength_score(p):
    score = entropy_bits(p)
    # penalties
    if any(w in p.lower() for w in DICT): score -= 20
    if re.search(r"(.)\1{2,}", p): score -= 10   # repeats like aaa or !!! 
    if has_seq(p): score -= 12
    if len(p) < 8: score -= 15
    return max(score, 0)

def bucket(score):
    return "Weak" if score < 40 else ("Moderate" if score < 70 else "Strong")

def generate(n=16, upper=True, lower=True, digits=True, symbols=True):
    alphabet = ""
    if lower: alphabet += string.ascii_lowercase
    if upper: alphabet += string.ascii_uppercase
    if digits: alphabet += string.digits
    if symbols: alphabet += "!@#$%^&*()-_=+[]{};:,.?/|~"
    if not alphabet: alphabet = string.ascii_letters + string.digits
    return "".join(secrets.choice(alphabet) for _ in range(n))

pwd = "Tr0ub4dor&3"  # sample
score = strength_score(pwd)
print(pwd, score, bucket(score))
print("Sample strong:", generate(20))
              

What You Get