AI 仓库情报摘要

FR-AI / ANALYSIS

为什么值得关注

所有分析在浏览器内完成，不发送任何数据到服务器，兼顾隐私保护与教育意义，并提供即时视觉反馈。

适合谁使用

学习密码安全知识的开发者
完成网络安全课程作业的学生
想要本地检查自己密码的普通用户
评估密码强度指标的安全爱好者

典型使用场景

教育工具，帮助理解密码强度各组成部分
在注册新服务前快速检查个人密码
在网页开发课程中演示实时分析功能
通过自定义集成到注册表单中作为客户端验证器

项目优势

输入即更新，实时分析并伴有流畅动画
包含香农熵、字符集、字典攻击检测和破解时间估算
100%本地处理——无网络请求、无数据存储、可离线运行
响应式设计，适配桌面、平板和手机

使用前须知

字典仅收录100多个常见密码，可能漏掉某些弱变体
破解时间估算基于固定的每秒10亿次尝试，对现代硬件或GPU攻击不够准确
无服务器端组件，无法用于跨账户的密码策略强制

README 快速开始

🔐 Password Strength Analyzer - Web Version

A beautiful, modern web-based password strength analyzer with real-time analysis as you type!

🌐 Web Interface Features

✨ Real-Time Analysis

Instant feedback as you type each character
Smooth animations and transitions
Visual progress bar (0-100 score)
Color-coded status indicators
Show/Hide password toggle
Responsive design - works on all devices

📊 Analysis Metrics

1. Overall Score (0-100)

Visual progress bar with gradient colors
Status: Very Weak → Weak → Moderate → Strong → Very Strong

2. Length Analysis

Real-time length checking
Recommendations for stronger passwords

3. Complexity Analysis

Live indicators for character types:
- ✓ Lowercase letters
- ✓ Uppercase letters
- ✓ Digits
- ✓ Special characters
Instant suggestions for missing types

4. Entropy Analysis

Shannon Entropy calculation
Theoretical Entropy based on character pool
Character pool size display

5. Dictionary Attack Detection

Checks against 100+ common passwords
Detects simple variations
Identifies patterns (sequences, keyboard patterns, etc.)
Visual warnings for vulnerabilities

6. Crack Time Estimation

Estimates brute force attack time
Based on 1 billion attempts/second

🚀 How to Run

Option 1: Double-Click (Easiest)

Navigate to the project folder
Double-click index.html
Opens in your default browser

Option 2: Right-Click

Right-click on index.html
Select "Open with" → Your preferred browser

Option 3: Using Python Server

# Navigate to project directory
cd "C:\Users\dell\Documents\projects\CS  assignment"

# Start a local server (Python 3)
python -m http.server 8000

# Open browser and go to:
# http://localhost:8000

Option 4: Using Live Server (VS Code)

Install "Live Server" extension in VS Code
Right-click index.html
Select "Open with Live Server"

📁 Web Files Structure

CS assignment/
│
├── index.html          # Main HTML structure
├── styles.css          # Beautiful modern styling
├── script.js           # Real-time analysis logic
│
├── Python modules (optional):
├── entropy_calculator.py
├── dictionary_checker.py
├── analyzer.py
├── gui.py
└── main.py

🎨 Interface Sections

1. Header

Gradient title with modern design
Subtitle ex

Password-Analyzer