### 使用 Python 实现口令分析和生成系统 以下是使用Python实现的简单版口令分析与生成系统的示例代码。这个版本包括基本的功能模块，如读取文本文件、提取和分析口令、以及基于规则生成新的口令。 #### 依赖库安装 首先需要确保已经安装了一些常用的Python包： ```bash pip install pandas regex ``` #### 主程序代码 ```python import re from collections import Counter import random import string import pandas as pd class PasswordAnalyzerGenerator: def __init__(self): self.passwords = [] # 提取文本中的疑似密码字符串 def extract_passwords(self, text_file_path): with open(text_file_path, 'r', encoding='utf-8') as file: content = file.read() # 假设简单的正则表达式匹配可能是密码的部分 (可根据实际情况调整) pattern = r'\b[A-Za-z0-9@#$%^&+=]{6,}\b' potential_passwords = set(re.findall(pattern, content)) print(f"Extracted {len(potential_passwords)} potential passwords.") for pwd in potential_passwords: if not any(char.isdigit() for char in pwd) or len(pwd) < 8: continue # 过滤掉不符合常规要求的假阳性 self.passwords.append(pwd) # 分析每个密码的基本属性 def analyze_passwords(self): analysis_results = [] for password in self.passwords: length = len(password) letter_count = sum(c.isalpha() for c in password) digit_count = sum(c.isdigit() for c in password) special_char_ratio = round((length - letter_count - digit_count)/length*100, 2) if length > 0 else 0 has_time_info = bool(re.search(r'(?:\d{4}|[a-zA-Z]+)\-[a-zA-Z]+\-\d+', password)) # 简单检测是否有类似日期格式的存在 identity_keywords = ["admin", "user", "test"] # 示例身份关键词列表 contains_identity = any(word.lower() in password.lower() for word in identity_keywords) entry = { 'Password': password, 'Length': length, '% Letters': f'{round(letter_count / length * 100, 2)}%' if length > 0 else 'N/A', '% Digits': f'{round(digit_count / length * 100, 2)}%' if length > 0 else 'N/A', '% Special Chars': f'{special_char_ratio}%', 'Has Time Info?': has_time_info, 'Contains Identity Keywords?': contains_identity } analysis_results.append(entry) df_analysis = pd.DataFrame(analysis_results) return df_analysis # 根据分析结果和个人信息生成新密码 @staticmethod def generate_new_password(length=12, use_digits=True, use_special_chars=True, identity_keywords=None): chars = string.ascii_letters if use_digits: chars += string.digits if use_special_chars: chars += "@#$%^&+=" new_pwd = ''.join(random.choice(chars) for _ in range(max(0, length - 3))) if identity_keywords and isinstance(identity_keywords, list) and len(identity_keywords)>0: chosen_keyword = random.choice([kw for kw in identity_keywords if len(kw)<=min(len(new_pwd), 4)]) insertion_point = random.randint(0, min(len(chosen_keyword)-1, max(0,length-len(chosen_keyword)))) new_pwd = new_pwd[:insertion_point] + chosen_keyword + new_pwd[insertion_point:] while True: try: generated = "".join([ *[random.choice(string.ascii_uppercase) for i in range(1)], *[random.choice(string.ascii_lowercase) for j in range(1)], *[random.choice(string.digits) if use_digits else "" for k in range(1)], *[random.choice("@#$%^&+=") if use_special_chars else "" for l in range(1)] ]) final_pwd = new_pwd[:max(0,min(length-4,len(new_pwd)-4))] + generated break except Exception as e: pass return final_pwd[:length] # 测试代码段 if __name__ == "__main__": analyzer_generator = PasswordAnalyzerGenerator() # Step 1: Extracting potential passwords from a sample text file. analyzer_generator.extract_passwords('sample_text.txt') # Step 2: Analyzing the extracted passwords. result_df = analyzer_generator.analyze_passwords() print("Analysis Results:") print(result_df) # Step 3: Generating some example strong passwords based on previous analyses. examples_of_generated_pwds = [analyzer_generator.generate_new_password( length=random.randint(10, 16), use_digits=bool(random.getrandbits(1)), use_special_chars=bool(random.getrandbits(1)), identity_keywords=["Admin", "User"] ) for _ in range(5)] print("\nGenerated Strong Password Examples:") for idx, gen_pwd in enumerate(examples_of_generated_pwds, start=1): print(f"{idx}. Generated Password: {gen_pwd}") ``` 此脚本展示了如何通过Python语言完成以下任务： - **从文本文件中抽取可疑的密码串**：利用正则表达式搜索符合一般密码特征的字符串。 - **详细的密码统计分析**：计算每条记录下的字母、数字和其他字符类型的百分比，并检查是否含有可能表示时间和个人身份的信息。 - **基于规则的新密码创建**：允许用户自定义新密码的各种配置选项（比如长度限制、是否包含特殊符号等），并且可以在不影响整体随机性的前提下加入部分预设的身份标识词汇。 请注意实际生产环境的应用应当考虑更多因素如更复杂的正则规则、更强健的数据校验及错误处理逻辑等。