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QSerializer：QtC++对象序列化至JSON/XML库

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### 知识点详细说明 #### 标题解析 - **QSerializer**：这是一个专门为Qt C++语言开发的序列化库，它的功能是将C++对象转化为JSON或XML格式，以及将这些格式的数据反序列化为C++对象。QSerializer的命名直观地表达了其核心功能——序列化。 - **基于QtCore的JSON或XML中的QtC++对象序列化**：这意味着QSerializer支持在使用QtCore模块的Qt C++项目中进行对象的序列化和反序列化工作。QtCore是Qt框架的基础模块，提供了核心的非GUI功能，比如数据类型、容器类、时间日期处理、文件处理等。QSerializer将利用QtCore中的类和功能来实现数据的序列化和反序列化。 #### 描述解析 - 描述与标题非常相似，再次强调了QSerializer存储库的作用是用于在Qt C++环境中对对象进行序列化和反序列化，且支持JSON和XML这两种数据交换格式。 - 这里未提供关于如何使用QSerializer或其功能的详细描述，但可以推断其应当提供了便捷的API或宏等工具来简化序列化和反序列化的过程。 #### 标签解析 - **serialization**：序列化是将数据结构或对象状态转换为可存储或传输的格式（如JSON、XML）的过程。反序列化则是将存储或传输的数据转换回原始结构或状态的过程。 - **json**：JSON（JavaScript Object Notation）是一种轻量级的数据交换格式，易于人阅读和编写，同时也易于机器解析和生成。 - **xml**：XML（Extensible Markup Language）是一种标记语言，用于存储和传输数据，它与HTML类似，但更强调数据内容。 - **qt meta**：Qt的元对象系统包含用于运行时类型信息和信号与槽机制的功能。元对象系统是Qt的一些类的基类的一部分，比如QObject。这个标签暗示QSerializer可能利用了Qt的元对象特性。 - **cpp**：C++是一种通用编程语言，Qt C++指的是使用Qt框架编写的C++程序。 - **xml macro**：宏通常用于编写可重用的代码片段或执行预编译操作，QSerializer可能提供了宏来简化XML序列化的过程。 - **QtC++**：这是一个组合词，指的是使用Qt框架的C++编程。 #### 压缩包子文件名称列表 - **QSerializer-master**：这里的"master"表明这是QSerializer库的主分支版本。压缩包子文件的命名通常是为了在版本控制系统中区分不同版本或分支。在Git版本控制系统中，"master"（现在更倾向于称之为"main"）通常表示主要的开发分支。 #### 序列化技术在Qt中的应用 Qt框架提供了强大的数据处理能力，而数据序列化和反序列化是数据持久化、网络传输等场景中不可或缺的功能。Qt通过QVariant类提供了基本的序列化功能，但QSerializer这样的库可以提供更加定制化和功能丰富的序列化方案。使用这些库，开发者能够更高效地将对象状态存储到文件中，或者在网络中传输对象数据。 #### QSerializer可能涉及的技术点 1. **Qt的信号与槽机制**：用于响应序列化和反序列化的事件。 2. **元对象编译器（MOC）**：用于处理Qt的元对象系统，可能在序列化的过程中用于处理与元对象相关的数据。 3. **QDataStream或QXmlStreamReader/QXmlStreamWriter**：这些是Qt提供的用于处理二进制和文本数据流的类，可能被QSerializer用作序列化和反序列化的底层实现机制。 4. **自定义宏或模板编程**：为了简化序列化过程，QSerializer可能会提供一些宏定义或模板函数来封装序列化逻辑。 5. **跨平台兼容性**：由于Qt的跨平台特性，QSerializer也应当能够在不同的操作系统上无缝运行。 #### 结论 QSerializer作为一个专门针对Qt C++环境的序列化库，为开发者提供了将对象状态转换为JSON或XML格式的能力，并能够将这些格式的数据还原为C++对象。这种库的存在大大简化了在Qt应用中处理数据交换和存储的复杂性。由于其基于QtCore的特性，使得在Qt的各个模块之间进行数据序列化变得可行和高效。开发人员可以利用QSerializer库加速开发进程，提高软件的互操作性和数据的可维护性。

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import sys import json import csv import os import time import re import requests import concurrent.futures from urllib.parse import urlparse, urljoin from requests.exceptions import RequestException from PyQt5.QtWidgets import ( QApplication, QMainWindow, QWidget, QVBoxLayout, QHBoxLayout, QTabWidget, QLabel, QLineEdit, QPushButton, QTextEdit, QTableWidget, QTableWidgetItem, QTreeWidget, QTreeWidgetItem, QHeaderView, QFileDialog, QMessageBox, QSplitter, QSpinBox, QAction, QDialog, QFormLayout, QDialogButtonBox, QProgressBar, QGroupBox ) from PyQt5.QtCore import Qt, QThread, pyqtSignal from PyQt5.QtGui import QIcon # 忽略SSL证书验证的警告信息 requests.packages.urllib3.disable_warnings() class FingerprintManager: def __init__(self): self.fingerprints = [] self.default_file_path = os.path.join(os.path.expanduser("~"), "cms_fingerprints.json") if not self.load_from_default_file(): self.load_default_fingerprints() def load_default_fingerprints(self): # 优化默认指纹库，确保正则表达式正确 self.fingerprints = [ { "cms": "WordPress", "version": "", "confidence": 0, "http_headers": [ {"header": "X-Powered-By", "pattern": "PHP/.*", "score": 10, "type": "general"} ], "html_content": [ {"pattern": "<meta name=\"generator\" content=\"WordPress ([\\d.]+)\"", "score": 150, "type": "core", "version_group": 1}, {"pattern": "wp-content/themes/([^/]+)", "score": 80, "type": "specific"}, {"pattern": "wp-includes/js/wp-util.js", "score": 90, "type": "specific"} ], "url_paths": [ {"path": "/wp-admin", "score": 80, "type": "specific"}, {"path": "/wp-login.php", "score": 100, "type": "core"} ] }, { "cms": "示例站点", "version": "", "confidence": 0, "html_content": [ {"pattern": "恭喜, 站点创建成功！", "score": 120, "type": "core"}, {"pattern": "

这是默认index.html，本页面由系统自动生成

", "score": 100, "type": "core"} ], "url_paths": [] }, { "cms": "Nginx", "version": "", "confidence": 0, "http_headers": [ {"header": "Server", "pattern": "nginx/([\\d.]+)", "score": 90, "type": "core", "version_group": 1} ], "html_content": [ {"pattern": "If you see this page, the nginx web server is successfully installed", "score": 120, "type": "core"} ] }, { "cms": "Drupal", "version": "", "html_content": [ {"pattern": "<meta name=\"generator\" content=\"Drupal ([\\d.]+)\"", "score": 150, "type": "core", "version_group": 1}, {"pattern": "sites/default/files", "score": 70, "type": "specific"} ], "url_paths": [ {"path": "/sites/all", "score": 80, "type": "specific"} ] }, { "cms": "ThinkPHP", "version": "", "html_content": [ {"pattern": "think\\\\Exception", "score": 100, "type": "core"}, {"pattern": "app\\\\controller", "score": 80, "type": "specific"} ] }, { "cms": "Yii", "version": "", "html_content": [ {"pattern": "yii\\\\base\\\\Exception", "score": 100, "type": "core"}, {"pattern": "yii\\\\web\\\\HttpException", "score": 90, "type": "specific"} ] }, { "cms": "Phalcon", "version": "", "html_content": [ {"pattern": "Phalcon\\\\Exception", "score": 100, "type": "core"} ] }, { "cms": "FuelPHP", "version": "", "html_content": [ {"pattern": "Fuel\\\\Exception", "score": 100, "type": "core"} ] }, { "cms": "Habari", "version": "", "html_content": [ {"pattern": "Habari\\\\Core\\\\Exception", "score": 100, "type": "core"} ] }, { "cms": "帝国CMS", "version": "", "html_content": [ {"pattern": "ecmsinfo\\(", "score": 100, "type": "core"} ] } ] self.save_to_default_file() def load_from_default_file(self): try: if os.path.exists(self.default_file_path): with open(self.default_file_path, 'r', encoding='utf-8') as f: loaded_data = json.load(f) valid_fingerprints = [] for fp in loaded_data: if self._is_valid_fingerprint(fp): cleaned_fp = self._clean_fingerprint(fp) valid_fingerprints.append(cleaned_fp) else: print(f"跳过无效指纹: {fp}") self.fingerprints = valid_fingerprints return True return False except Exception as e: print(f"从默认文件加载指纹失败: {e}") return False def _clean_fingerprint(self, fp): """清理指纹中的正则表达式，修复常见错误""" for header in fp.get('http_headers', []): if 'pattern' in header: header['pattern'] = self._fix_regex_pattern(header['pattern']) for html in fp.get('html_content', []): if 'pattern' in html: html['pattern'] = self._fix_regex_pattern(html['pattern']) for url in fp.get('url_paths', []): if 'pattern' in url: url['pattern'] = self._fix_regex_pattern(url['pattern']) return fp def _fix_regex_pattern(self, pattern): """修复常见的正则表达式错误""" if not pattern: return "" # 修复未转义的反斜杠 fixed = re.sub(r'(?<!\\)\\(?!["\\/])', r'\\\\', pattern) # 修复未闭合的括号 open_count = fixed.count('(') close_count = fixed.count(')') if open_count > close_count: fixed += ')' * (open_count - close_count) # 修复不完整的字符类 if '[' in fixed and ']' not in fixed: fixed += ']' return fixed def _is_valid_fingerprint(self, fp): required_fields = ["cms"] for field in required_fields: if field not in fp: return False if not fp["cms"].strip(): return False for key in ["http_headers", "html_content", "url_paths"]: if key not in fp: fp[key] = [] return True def save_to_default_file(self): try: dir_path = os.path.dirname(self.default_file_path) if not os.path.exists(dir_path): os.makedirs(dir_path) with open(self.default_file_path, 'w', encoding='utf-8') as f: json.dump(self.fingerprints, f, indent=4, ensure_ascii=False) return True except Exception as e: print(f"保存指纹到默认文件失败: {e}") return False def add_fingerprint(self, fingerprint): if self._is_valid_fingerprint(fingerprint): cleaned = self._clean_fingerprint(fingerprint) self.fingerprints.append(cleaned) self.save_to_default_file() return True print(f"无法添加无效指纹: {fingerprint}") return False def remove_fingerprint(self, index): if 0 <= index < len(self.fingerprints): self.fingerprints.pop(index) self.save_to_default_file() def update_fingerprint(self, index, fingerprint): if 0 <= index < len(self.fingerprints) and self._is_valid_fingerprint(fingerprint): cleaned = self._clean_fingerprint(fingerprint) self.fingerprints[index] = cleaned self.save_to_default_file() return True return False def clear_fingerprints(self): self.fingerprints = [] self.save_to_default_file() return True def restore_default_fingerprints(self): self.load_default_fingerprints() return True def get_fingerprints(self): return self.fingerprints def export_fingerprints(self, filename): try: with open(filename, 'w', encoding='utf-8') as f: json.dump(self.fingerprints, f, indent=4, ensure_ascii=False) return True except Exception as e: print(f"导出失败: {e}") return False def import_fingerprints(self, filename): try: with open(filename, 'r', encoding='utf-8') as f: imported_data = json.load(f) valid_fingerprints = [] for fp in imported_data: if self._is_valid_fingerprint(fp): cleaned = self._clean_fingerprint(fp) valid_fingerprints.append(cleaned) else: print(f"导入时跳过无效指纹: {fp}") if valid_fingerprints: self.fingerprints = valid_fingerprints self.save_to_default_file() return True print("导入的指纹全部无效") return False except Exception as e: print(f"导入失败: {e}") return False class DetectionWorker(QThread): progress_signal = pyqtSignal(int, int, str) result_signal = pyqtSignal(dict) log_signal = pyqtSignal(str) finished_signal = pyqtSignal() def __init__(self, urls, fingerprints, max_threads=10, retry_count=2): super().__init__() self.urls = urls self.fingerprints = fingerprints self.max_threads = max_threads self.running = True self.retry_count = retry_count self.timeout = 15 # 超时时间（秒） # 缓存响应以提高性能 self.response_cache = {} def run(self): self.log_signal.emit("开始检测...") total = len(self.urls) for i, url in enumerate(self.urls): if not self.running: break self.progress_signal.emit(i+1, total, url) result = self.detect_cms(url) self.result_signal.emit(result) self.log_signal.emit("检测完成！") self.finished_signal.emit() def stop(self): self.running = False def preprocess_html(self, html): """优化HTML预处理：保留标签结构，不过度压缩""" processed = re.sub(r'\n\s+', '\n', html) processed = re.sub(r'>\s+<', '><', processed) return processed.strip() def escape_special_chars(self, pattern): """安全转义正则特殊字符""" if not pattern: return "" safe_pattern = re.sub(r'\\(?![\\.*+?^${}()|[\]sSdDwWtnbfvr])', r'\\\\', pattern) return safe_pattern def validate_regex(self, pattern): """验证正则表达式是否有效""" if not pattern: return True, pattern try: re.compile(pattern) return True, pattern except re.error as e: fixed = pattern if "bad escape" in str(e): fixed = re.sub(r'(?<!\\)\\(?!["\\/])', r'\\\\', pattern) elif "unterminated subpattern" in str(e): open_count = pattern.count('(') close_count = pattern.count(')') if open_count > close_count: fixed = pattern + ')' * (open_count - close_count) try: re.compile(fixed) self.log_signal.emit(f"自动修复正则表达式: {pattern} -> {fixed}") return True, fixed except re.error: return False, pattern def extract_version(self, content, pattern, group_idx): """从匹配结果中提取版本号""" if not pattern or group_idx is None: return "" try: match = re.search(pattern, content, re.IGNORECASE) if match and len(match.groups()) >= group_idx: return match.group(group_idx).strip() except re.error as e: self.log_signal.emit(f"版本提取正则错误 {pattern}: {str(e)}") return "" def fetch_url_content(self, url): """带重试机制的URL内容获取""" # 检查缓存 if url in self.response_cache: return self.response_cache[url] headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36', 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', 'Accept-Language': 'zh-CN,zh;q=0.9' } for attempt in range(self.retry_count + 1): try: response = requests.get( url, headers=headers, allow_redirects=True, verify=False, timeout=self.timeout ) response.encoding = response.apparent_encoding # 缓存响应 self.response_cache[url] = response return response except RequestException as e: self.log_signal.emit(f"请求尝试 {attempt+1} 失败: {str(e)}") if attempt >= self.retry_count: return None time.sleep(1) return None def build_full_url(self, base_url, path): """构建完整的URL""" if not path.startswith('/'): path = '/' + path parsed = urlparse(base_url) return f"{parsed.scheme}://{parsed.netloc}{path}" def check_url_path(self, base_url, path, pattern, item_score, weight): """检查URL路径特征 - 主动访问并验证""" full_url = self.build_full_url(base_url, path) feature_desc = f"URL路径: {full_url}" # 尝试获取响应 response = self.fetch_url_content(full_url) if response and response.status_code == 200: # 如果有正则模式，检查内容 if pattern: is_valid, fixed_pattern = self.validate_regex(pattern) if is_valid: try: if re.search(fixed_pattern, response.text, re.IGNORECASE): return True, feature_desc, item_score * weight except re.error as e: self.log_signal.emit(f"URL路径正则错误: {str(e)}") # 如果没有正则模式，只要状态200就算匹配 else: return True, feature_desc, item_score * weight return False, feature_desc, 0 def detect_cms(self, url): original_url = url if not url.startswith(('http://', 'https://')): urls_to_try = [f'http://{url}', f'https://{url}'] else: urls_to_try = [url] response = None for test_url in urls_to_try: response = self.fetch_url_content(test_url) if response: url = test_url break if not response: return { "url": original_url, "status": -1, "results": [{"cms": "无法访问", "version": "", "confidence": 0, "judgment_basis": ["无法建立连接"]}], "primary": {"cms": "无法访问", "version": "", "confidence": 0} } status_code = response.status_code headers = response.headers html_content = response.text final_url = response.url processed_html = self.preprocess_html(html_content) self.log_signal.emit(f"获取内容: {final_url} (状态码: {status_code})") cms_matches = [] min_score_threshold = 50 for cms in self.fingerprints: total_score = 0 version = "" # 记录详细的判断依据 judgment_basis = [] matched_features = [] unmatched_features = [] # 1. 匹配HTTP头特征 for header_item in cms.get('http_headers', []): header_name = header_item.get('header', '').lower() pattern = header_item.get('pattern', '') item_score = header_item.get('score', 0) feature_type = header_item.get('type', 'general') if not header_name or not pattern: continue is_valid, fixed_pattern = self.validate_regex(pattern) if not is_valid: self.log_signal.emit(f"跳过无效HTTP头正则: {pattern}") continue weight = 2 if feature_type == 'core' else 1 adjusted_score = item_score * weight feature_desc = f"HTTP头[{header_name}]匹配模式[{fixed_pattern}]" if header_name in headers: header_value = str(headers[header_name]) try: if re.search(fixed_pattern, header_value, re.IGNORECASE): total_score += adjusted_score matched_features.append(f"{feature_desc} (+{adjusted_score})") judgment_basis.append(f"✓ {feature_desc}，匹配成功，加{adjusted_score}分") if 'version_group' in header_item: version = self.extract_version( header_value, fixed_pattern, header_item['version_group'] ) or version else: unmatched_features.append(f"{feature_desc} (未匹配)") judgment_basis.append(f"✗ {feature_desc}，未匹配") except re.error as e: self.log_signal.emit(f"HTTP头正则执行错误 {fixed_pattern}: {str(e)}") else: unmatched_features.append(f"{feature_desc} (Header不存在)") judgment_basis.append(f"✗ {feature_desc}，Header不存在") # 2. 匹配HTML内容特征 for html_item in cms.get('html_content', []): pattern = html_item.get('pattern', '').strip() item_score = html_item.get('score', 0) feature_type = html_item.get('type', 'general') if not pattern: continue is_valid, fixed_pattern = self.validate_regex(pattern) if not is_valid: self.log_signal.emit(f"跳过无效HTML正则: {pattern}") continue weight = 2.5 if feature_type == 'core' else (1.5 if feature_type == 'specific' else 1) adjusted_score = int(item_score * weight) feature_desc = f"HTML内容匹配模式[{fixed_pattern[:50]}{'...' if len(fixed_pattern)>50 else ''}]" try: if '<' in fixed_pattern and '>' in fixed_pattern: escaped_pattern = self.escape_special_chars(fixed_pattern) flexible_pattern = re.sub(r'\s+', r'\\s+', escaped_pattern) match_found = re.search(flexible_pattern, processed_html, re.IGNORECASE | re.DOTALL) else: match_found = re.search(fixed_pattern, processed_html, re.IGNORECASE | re.DOTALL) if match_found: total_score += adjusted_score matched_features.append(f"{feature_desc} (+{adjusted_score})") judgment_basis.append(f"✓ {feature_desc}，匹配成功，加{adjusted_score}分") if 'version_group' in html_item: version = self.extract_version( processed_html, fixed_pattern, html_item['version_group'] ) or version else: unmatched_features.append(f"{feature_desc} (未匹配)") judgment_basis.append(f"✗ {feature_desc}，未匹配") except re.error as e: self.log_signal.emit(f"HTML正则执行错误 {fixed_pattern}: {str(e)}") # 3. 匹配URL路径特征 - 使用线程池并发处理 url_path_tasks = [] with concurrent.futures.ThreadPoolExecutor(max_workers=min(5, self.max_threads)) as executor: for url_item in cms.get('url_paths', []): path = url_item.get('path', '') pattern = url_item.get('pattern', '') item_score = url_item.get('score', 0) feature_type = url_item.get('type', 'general') if not path: continue weight = 2 if feature_type == 'core' else 1 adjusted_score = item_score * weight # 提交任务到线程池 task = executor.submit( self.check_url_path, final_url, path, pattern, item_score, weight ) url_path_tasks.append((task, adjusted_score, path)) # 处理URL路径特征结果 for task, adjusted_score, path in url_path_tasks: try: matched, desc, score = task.result() if matched: total_score += score matched_features.append(f"{desc} (+{score})") judgment_basis.append(f"✓ {desc}，访问成功，加{score}分") else: unmatched_features.append(f"{desc} (访问失败或未匹配)") judgment_basis.append(f"✗ {desc}，访问失败或未匹配") except Exception as e: self.log_signal.emit(f"URL路径检查出错: {str(e)}") # 计算置信度 max_possible = sum( (h.get('score', 0) * (2 if h.get('type') == 'core' else 1)) for h in cms.get('http_headers', []) ) + sum( (h.get('score', 0) * (2.5 if h.get('type') == 'core' else 1)) for h in cms.get('html_content', []) ) + sum( (u.get('score', 0) * (2 if u.get('type') == 'core' else 1)) for u in cms.get('url_paths', []) ) confidence = min(100, int((total_score / max_possible) * 100)) if max_possible > 0 else 0 # 汇总判断依据 if matched_features: judgment_basis.insert(0, f"匹配到{len(matched_features)}个特征，总分{total_score}") else: judgment_basis.insert(0, f"未匹配到任何特征，总分0") if total_score >= min_score_threshold: cms_matches.append({ "cms": cms['cms'], "version": version or cms.get('version', ''), "score": total_score, "confidence": confidence, "judgment_basis": judgment_basis, # 存储详细判断依据 "features": matched_features }) cms_matches.sort(key=lambda x: (-x['confidence'], -x['score'])) filtered_results = [] if cms_matches: max_score = cms_matches[0]['score'] for match in cms_matches: if match['score'] >= max_score * 0.8 or match['confidence'] >= 70: filtered_results.append(match) # 如果没有匹配到任何结果，添加一个默认结果并说明原因 if not filtered_results: filtered_results.append({ "cms": "未知", "version": "", "confidence": 0, "judgment_basis": ["未匹配到任何已知CMS的特征", "请检查指纹库是否完整或添加新指纹"] }) primary_result = filtered_results[0] if filtered_results else { "cms": "未知", "version": "", "confidence": 0 } return { "url": final_url, "status": status_code, "results": filtered_results, "primary": primary_result } class AddFingerprintDialog(QDialog): def __init__(self, parent=None, fingerprint=None): super().__init__(parent) self.fingerprint = fingerprint self.setWindowTitle("编辑指纹" if fingerprint else "添加指纹") self.setGeometry(300, 300, 600, 500) self.init_ui() def init_ui(self): layout = QVBoxLayout() form_layout = QFormLayout() self.cms_input = QLineEdit() self.version_input = QLineEdit() form_layout.addRow("CMS名称*:", self.cms_input) form_layout.addRow("默认版本:", self.version_input) regex_help = QLabel("正则表达式提示: 反斜杠需要输入两次(\\\\)，特殊字符(如. * + ?)需要转义") regex_help.setStyleSheet("color: #2980b9; font-size: 12px;") form_layout.addRow(regex_help) type_note = QLabel("特征类型说明: core(核心特征,权重高) > specific(特定特征) > general(通用特征)") type_note.setStyleSheet("color: #666; font-size: 12px;") form_layout.addRow(type_note) layout.addLayout(form_layout) # HTTP头特征表格 http_group = QWidget() http_layout = QVBoxLayout(http_group) http_layout.addWidget(QLabel("HTTP头特征:")) self.http_table = QTableWidget(0, 4) self.http_table.setHorizontalHeaderLabels(["Header", "Pattern", "Score", "Type(core/general)"]) self.http_table.horizontalHeader().setSectionResizeMode(QHeaderView.Stretch) http_btn_layout = QHBoxLayout() add_http_btn = QPushButton("添加") add_http_btn.clicked.connect(lambda: self.add_row(self.http_table, ["", "", "50", "general"])) remove_http_btn = QPushButton("移除") remove_http_btn.clicked.connect(lambda: self.remove_row(self.http_table)) http_btn_layout.addWidget(add_http_btn) http_btn_layout.addWidget(remove_http_btn) http_layout.addWidget(self.http_table) http_layout.addLayout(http_btn_layout) layout.addWidget(http_group) # HTML内容特征表格 html_group = QWidget() html_layout = QVBoxLayout(html_group) html_layout.addWidget(QLabel("HTML内容特征:")) self.html_table = QTableWidget(0, 4) self.html_table.setHorizontalHeaderLabels(["Pattern", "Score", "Type(core/specific)", "版本提取组(可选)"]) self.html_table.horizontalHeader().setSectionResizeMode(QHeaderView.Stretch) html_btn_layout = QHBoxLayout() add_html_btn = QPushButton("添加") add_html_btn.clicked.connect(lambda: self.add_row(self.html_table, ["", "80", "specific", ""])) remove_html_btn = QPushButton("移除") remove_html_btn.clicked.connect(lambda: self.remove_row(self.html_table)) html_btn_layout.addWidget(add_html_btn) html_btn_layout.addWidget(remove_html_btn) html_layout.addWidget(self.html_table) html_layout.addLayout(html_btn_layout) layout.addWidget(html_group) # URL路径特征表格 url_group = QWidget() url_layout = QVBoxLayout(url_group) url_layout.addWidget(QLabel("URL路径特征 (将主动访问这些路径):")) self.url_table = QTableWidget(0, 4) self.url_table.setHorizontalHeaderLabels(["Path", "Pattern(可选)", "Score", "Type(core/specific)"]) self.url_table.horizontalHeader().setSectionResizeMode(QHeaderView.Stretch) url_btn_layout = QHBoxLayout() add_url_btn = QPushButton("添加") add_url_btn.clicked.connect(lambda: self.add_row(self.url_table, ["", "", "60", "specific"])) remove_url_btn = QPushButton("移除") remove_url_btn.clicked.connect(lambda: self.remove_row(self.url_table)) url_btn_layout.addWidget(add_url_btn) url_btn_layout.addWidget(remove_url_btn) url_layout.addWidget(self.url_table) url_layout.addLayout(url_btn_layout) layout.addWidget(url_group) # 测试正则按钮 test_btn = QPushButton("测试选中的正则表达式") test_btn.clicked.connect(self.test_selected_regex) layout.addWidget(test_btn) # 确认按钮 btn_box = QDialogButtonBox(QDialogButtonBox.Ok | QDialogButtonBox.Cancel) btn_box.accepted.connect(self.accept) btn_box.rejected.connect(self.reject) layout.addWidget(btn_box) self.setLayout(layout) self.load_fingerprint_data() def test_selected_regex(self): current_table = None pattern = "" if self.http_table.currentRow() >= 0: current_table = self.http_table item = self.http_table.item(self.http_table.currentRow(), 1) if item: pattern = item.text() elif self.html_table.currentRow() >= 0: current_table = self.html_table item = self.html_table.item(self.html_table.currentRow(), 0) if item: pattern = item.text() if not pattern: QMessageBox.information(self, "测试结果", "请选择一个正则表达式进行测试") return try: re.compile(pattern) QMessageBox.information(self, "测试结果", f"正则表达式有效:\n{pattern}") except re.error as e: fixed = pattern if "bad escape" in str(e): fixed = re.sub(r'(?<!\\)\\(?!["\\/])', r'\\\\', pattern) elif "unterminated subpattern" in str(e): open_count = pattern.count('(') close_count = pattern.count(')') if open_count > close_count: fixed = pattern + ')' * (open_count - close_count) try: re.compile(fixed) QMessageBox.information( self, "修复成功", f"原表达式无效: {str(e)}\n修复后表达式: {fixed}" ) if current_table == self.http_table: self.http_table.item(self.http_table.currentRow(), 1).setText(fixed) else: self.html_table.item(self.html_table.currentRow(), 0).setText(fixed) except re.error as e2: QMessageBox.warning( self, "测试失败", f"正则表达式无效: {str(e2)}\n表达式: {pattern}" ) def add_row(self, table, default_values): row = table.rowCount() table.insertRow(row) for col, val in enumerate(default_values): table.setItem(row, col, QTableWidgetItem(val)) def remove_row(self, table): row = table.currentRow() if row >= 0: table.removeRow(row) def load_fingerprint_data(self): if not self.fingerprint: return self.cms_input.setText(self.fingerprint.get("cms", "")) self.version_input.setText(self.fingerprint.get("version", "")) for header in self.fingerprint.get("http_headers", []): self.add_row(self.http_table, [ header.get("header", ""), header.get("pattern", ""), str(header.get("score", 50)), header.get("type", "general") ]) for html in self.fingerprint.get("html_content", []): self.add_row(self.html_table, [ html.get("pattern", ""), str(html.get("score", 80)), html.get("type", "specific"), str(html.get("version_group", "")) if "version_group" in html else "" ]) for path in self.fingerprint.get("url_paths", []): self.add_row(self.url_table, [ path.get("path", ""), path.get("pattern", ""), str(path.get("score", 60)), path.get("type", "specific") ]) def validate_regex(self, pattern): try: if pattern: re.compile(pattern) return True except re.error as e: QMessageBox.warning(self, "正则错误", f"模式 '{pattern}' 无效: {str(e)}\n请使用测试按钮修复") return False def get_fingerprint(self): cms_name = self.cms_input.text().strip() if not cms_name: QMessageBox.warning(self, "输入错误", "CMS名称不能为空") return None for row in range(self.html_table.rowCount()): pattern_item = self.html_table.item(row, 0) if pattern_item and not self.validate_regex(pattern_item.text().strip()): return None fingerprint = { "cms": cms_name, "version": self.version_input.text().strip(), "confidence": 0, "http_headers": [], "html_content": [], "url_paths": [] } for row in range(self.http_table.rowCount()): header = self.http_table.item(row, 0).text().strip() if self.http_table.item(row, 0) else "" pattern = self.http_table.item(row, 1).text().strip() if self.http_table.item(row, 1) else "" score = int(self.http_table.item(row, 2).text() or 50) f_type = self.http_table.item(row, 3).text().strip() or "general" if header and pattern: fingerprint["http_headers"].append({ "header": header, "pattern": pattern, "score": score, "type": f_type }) for row in range(self.html_table.rowCount()): pattern = self.html_table.item(row, 0).text().strip() if self.html_table.item(row, 0) else "" score = int(self.html_table.item(row, 1).text() or 80) f_type = self.html_table.item(row, 2).text().strip() or "specific" version_group = self.html_table.item(row, 3).text().strip() if pattern: item = { "pattern": pattern, "score": score, "type": f_type } if version_group and version_group.isdigit(): item["version_group"] = int(version_group) fingerprint["html_content"].append(item) for row in range(self.url_table.rowCount()): path = self.url_table.item(row, 0).text().strip() if self.url_table.item(row, 0) else "" pattern = self.url_table.item(row, 1).text().strip() if self.url_table.item(row, 1) else "" score = int(self.url_table.item(row, 2).text() or 60) f_type = self.url_table.item(row, 3).text().strip() or "specific" if path: fingerprint["url_paths"].append({ "path": path, "pattern": pattern, "score": score, "type": f_type }) return fingerprint class JudgmentBasisDialog(QDialog): """判断依据展示对话框""" def __init__(self, parent=None, result=None): super().__init__(parent) self.result = result self.setWindowTitle(f"识别依据 - {result['url']}") self.setGeometry(400, 200, 800, 600) self.init_ui() def init_ui(self): layout = QVBoxLayout() # 基本信息 basic_info = QLabel(f"""

URL: {self.result['url']}

状态码: {self.result['status']}

""") layout.addWidget(basic_info) # 识别结果 results_group = QGroupBox("识别结果汇总") results_layout = QVBoxLayout() for i, res in enumerate(self.result['results']): is_primary = (i == 0) # 第一个结果是主要结果 result_label = QLabel(f"""

{'★ ' if is_primary else ''}{res['cms']} v{res['version']} 置信度: {res['confidence']}%

""") results_layout.addWidget(result_label) results_group.setLayout(results_layout) layout.addWidget(results_group) # 详细判断依据 basis_group = QTabWidget() for res in self.result['results']: text_edit = QTextEdit() text_edit.setReadOnly(True) # 显示所有判断依据 text_edit.setText("\n".join(res['judgment_basis'])) basis_group.addTab(text_edit, f"{res['cms']} (置信度{res['confidence']}%)") layout.addWidget(basis_group) # 关闭按钮 btn_box = QDialogButtonBox(QDialogButtonBox.Ok) btn_box.accepted.connect(self.accept) layout.addWidget(btn_box) self.setLayout(layout) class CMSDetectorApp(QMainWindow): def __init__(self): super().__init__() self.setWindowTitle("多CMS识别工具 (带判断依据)") self.setGeometry(100, 100, 1200, 800) self.fingerprint_manager = FingerprintManager() self.results = [] self.create_menu() self.init_ui() self.apply_styles() def create_menu(self): menubar = self.menuBar() file_menu = menubar.addMenu("文件") import_action = QAction("导入网站列表", self) import_action.triggered.connect(self.import_urls) file_menu.addAction(import_action) export_action = QAction("导出结果", self) export_action.triggered.connect(self.export_results) file_menu.addAction(export_action) file_menu.addSeparator() exit_action = QAction("退出", self) exit_action.setShortcut("Ctrl+Q") exit_action.triggered.connect(self.close) file_menu.addAction(exit_action) fingerprint_menu = menubar.addMenu("指纹库") add_fingerprint_action = QAction("添加指纹", self) add_fingerprint_action.triggered.connect(self.add_fingerprint) fingerprint_menu.addAction(add_fingerprint_action) import_fingerprint_action = QAction("导入指纹库", self) import_fingerprint_action.triggered.connect(self.import_fingerprints) fingerprint_menu.addAction(import_fingerprint_action) export_fingerprint_action = QAction("导出指纹库", self) export_fingerprint_action.triggered.connect(self.export_fingerprints) fingerprint_menu.addAction(export_fingerprint_action) clear_fingerprint_action = QAction("清空指纹库", self) clear_fingerprint_action.triggered.connect(self.clear_fingerprints) fingerprint_menu.addAction(clear_fingerprint_action) restore_default_action = QAction("恢复默认指纹库", self) restore_default_action.triggered.connect(self.restore_default_fingerprints) fingerprint_menu.addAction(restore_default_action) help_menu = menubar.addMenu("帮助") about_action = QAction("关于", self) about_action.triggered.connect(self.show_about) help_menu.addAction(about_action) def init_ui(self): main_widget = QWidget() main_layout = QVBoxLayout() self.tabs = QTabWidget() self.detection_tab = self.create_detection_tab() self.fingerprint_tab = self.create_fingerprint_tab() self.tabs.addTab(self.detection_tab, "网站检测") self.tabs.addTab(self.fingerprint_tab, "指纹库管理") main_layout.addWidget(self.tabs) main_widget.setLayout(main_layout) self.setCentralWidget(main_widget) self.status_bar = self.statusBar() self.status_label = QLabel("就绪") self.status_bar.addWidget(self.status_label) self.detection_thread = None def apply_styles(self): self.setStyleSheet(""" QMainWindow { background-color: #f0f0f0; } QTabWidget::pane { border: 1px solid #cccccc; background: white; } QTableWidget { background-color: white; alternate-background-color: #f8f8f8; gridline-color: #e0e0e0; } QHeaderView::section { background-color: #e0e0e0; padding: 4px; border: 1px solid #d0d0d0; } QPushButton { background-color: #4a86e8; color: white; border: none; padding: 5px 10px; border-radius: 4px; } QPushButton:hover { background-color: #3a76d8; } QPushButton:pressed { background-color: #2a66c8; } QPushButton:disabled { background-color: #a0a0a0; } QPushButton#clearBtn { background-color: #e74c3c; } QPushButton#clearBtn:hover { background-color: #c0392b; } QPushButton#restoreBtn { background-color: #27ae60; } QPushButton#restoreBtn:hover { background-color: #219653; } """) def create_detection_tab(self): tab = QWidget() layout = QVBoxLayout() # URL输入区域 control_layout = QHBoxLayout() self.url_input = QLineEdit() self.url_input.setPlaceholderText("输入网站URL (例如: example.com 或 http://example.com)") add_url_btn = QPushButton("添加URL") add_url_btn.clicked.connect(self.add_single_url) import_btn = QPushButton("导入URL列表") import_btn.clicked.connect(self.import_urls) clear_btn = QPushButton("清空列表") clear_btn.clicked.connect(self.clear_urls) control_layout.addWidget(self.url_input, 4) control_layout.addWidget(add_url_btn, 1) control_layout.addWidget(import_btn, 1) control_layout.addWidget(clear_btn, 1) layout.addLayout(control_layout) # URL列表区域 url_list_layout = QVBoxLayout() url_list_layout.addWidget(QLabel("待检测网站列表:")) self.url_list = QTextEdit() self.url_list.setPlaceholderText("每行一个URL") self.url_list.setMinimumHeight(80) url_list_layout.addWidget(self.url_list) layout.addLayout(url_list_layout) # 检测控制区域 detection_control_layout = QHBoxLayout() self.thread_spin = QSpinBox() self.thread_spin.setRange(1, 20) self.thread_spin.setValue(5) self.thread_spin.setPrefix("线程数: ") self.retry_spin = QSpinBox() self.retry_spin.setRange(0, 3) self.retry_spin.setValue(1) self.retry_spin.setPrefix("重试次数: ") self.timeout_spin = QSpinBox() self.timeout_spin.setRange(5, 60) self.timeout_spin.setValue(15) self.timeout_spin.setPrefix("超时时间(秒): ") self.detect_btn = QPushButton("开始检测") self.detect_btn.clicked.connect(self.start_detection) self.stop_btn = QPushButton("停止检测") self.stop_btn.clicked.connect(self.stop_detection) self.stop_btn.setEnabled(False) detection_control_layout.addWidget(self.thread_spin) detection_control_layout.addWidget(self.retry_spin) detection_control_layout.addWidget(self.timeout_spin) detection_control_layout.addStretch() detection_control_layout.addWidget(self.detect_btn) detection_control_layout.addWidget(self.stop_btn) layout.addLayout(detection_control_layout) # 进度条 self.progress_bar = QProgressBar() self.progress_bar.setRange(0, 100) self.progress_bar.setTextVisible(True) layout.addWidget(self.progress_bar) # 结果展示区域 splitter = QSplitter(Qt.Vertical) self.result_table = QTableWidget(0, 6) # 增加一列显示操作 self.result_table.setHorizontalHeaderLabels(["URL", "状态", "CMS类型", "版本", "置信度(%)", "操作"]) self.result_table.horizontalHeader().setSectionResizeMode(0, QHeaderView.Stretch) self.result_table.horizontalHeader().setSectionResizeMode(1, QHeaderView.ResizeToContents) self.result_table.horizontalHeader().setSectionResizeMode(2, QHeaderView.Stretch) self.result_table.horizontalHeader().setSectionResizeMode(3, QHeaderView.ResizeToContents) self.result_table.horizontalHeader().setSectionResizeMode(4, QHeaderView.ResizeToContents) self.result_table.horizontalHeader().setSectionResizeMode(5, QHeaderView.ResizeToContents) self.result_table.setAlternatingRowColors(True) self.log_area = QTextEdit() self.log_area.setReadOnly(True) self.log_area.setMinimumHeight(150) splitter.addWidget(self.result_table) splitter.addWidget(self.log_area) splitter.setSizes([400, 150]) layout.addWidget(splitter, 1) tab.setLayout(layout) return tab def create_fingerprint_tab(self): tab = QWidget() layout = QVBoxLayout() btn_layout = QHBoxLayout() add_btn = QPushButton("添加指纹") add_btn.clicked.connect(self.add_fingerprint) edit_btn = QPushButton("编辑指纹") edit_btn.clicked.connect(self.edit_fingerprint) remove_btn = QPushButton("删除指纹") remove_btn.clicked.connect(self.remove_fingerprint) clear_btn = QPushButton("清空指纹库") clear_btn.setObjectName("clearBtn") clear_btn.clicked.connect(self.clear_fingerprints) restore_btn = QPushButton("恢复默认") restore_btn.setObjectName("restoreBtn") restore_btn.clicked.connect(self.restore_default_fingerprints) import_btn = QPushButton("导入指纹库") import_btn.clicked.connect(self.import_fingerprints) export_btn = QPushButton("导出指纹库") export_btn.clicked.connect(self.export_fingerprints) btn_layout.addWidget(add_btn) btn_layout.addWidget(edit_btn) btn_layout.addWidget(remove_btn) btn_layout.addWidget(clear_btn) btn_layout.addWidget(restore_btn) btn_layout.addStretch() btn_layout.addWidget(import_btn) btn_layout.addWidget(export_btn) layout.addLayout(btn_layout) self.fingerprint_tree = QTreeWidget() self.fingerprint_tree.setHeaderLabels(["CMS名称", "版本", "核心特征数", "总特征数"]) self.fingerprint_tree.setColumnWidth(0, 200) self.fingerprint_tree.setSortingEnabled(True) self.populate_fingerprint_tree() layout.addWidget(self.fingerprint_tree, 1) tab.setLayout(layout) return tab def populate_fingerprint_tree(self): self.fingerprint_tree.clear() fingerprints = self.fingerprint_manager.get_fingerprints() for i, fp in enumerate(fingerprints): try: cms_name = fp["cms"] version = fp.get("version", "") core_features = 0 total_features = 0 for h in fp.get("http_headers", []): total_features += 1 if h.get("type") == "core": core_features += 1 for h in fp.get("html_content", []): total_features += 1 if h.get("type") == "core": core_features += 1 for u in fp.get("url_paths", []): total_features += 1 if u.get("type") == "core": core_features += 1 item = QTreeWidgetItem([ cms_name, version, str(core_features), str(total_features) ]) item.setData(0, Qt.UserRole, i) self.fingerprint_tree.addTopLevelItem(item) except Exception as e: self.log(f"处理指纹时出错: {e}，已跳过") def add_single_url(self): url = self.url_input.text().strip() if url: current_text = self.url_list.toPlainText() new_text = current_text + (("\n" + url) if current_text else url) self.url_list.setPlainText(new_text) self.url_input.clear() def import_urls(self): file_path, _ = QFileDialog.getOpenFileName( self, "导入URL列表", "", "文本文件 (*.txt);;所有文件 (*)" ) if file_path: try: with open(file_path, 'r', encoding='utf-8') as f: urls = [line.strip() for line in f if line.strip()] self.url_list.setPlainText("\n".join(urls)) self.log(f"成功导入 {len(urls)} 个URL") except Exception as e: QMessageBox.critical(self, "导入错误", f"导入失败: {str(e)}") def clear_urls(self): self.url_list.clear() def start_detection(self): urls_text = self.url_list.toPlainText().strip() if not urls_text: QMessageBox.warning(self, "警告", "请先添加要检测的URL") return urls = [url.strip() for url in urls_text.splitlines() if url.strip()] if not urls: QMessageBox.warning(self, "警告", "没有有效的URL") return self.result_table.setRowCount(0) self.results = [] max_threads = self.thread_spin.value() retry_count = self.retry_spin.value() timeout = self.timeout_spin.value() self.detection_thread = DetectionWorker( urls, self.fingerprint_manager.get_fingerprints(), max_threads, retry_count ) self.detection_thread.timeout = timeout self.detection_thread.progress_signal.connect(self.update_progress) self.detection_thread.result_signal.connect(self.add_result) self.detection_thread.log_signal.connect(self.log) self.detection_thread.finished_signal.connect(self.detection_finished) self.detect_btn.setEnabled(False) self.stop_btn.setEnabled(True) self.progress_bar.setRange(0, len(urls)) self.progress_bar.setValue(0) self.detection_thread.start() def stop_detection(self): if self.detection_thread and self.detection_thread.isRunning(): self.detection_thread.stop() self.log("检测已停止") self.detection_finished() def detection_finished(self): self.detect_btn.setEnabled(True) self.stop_btn.setEnabled(False) self.status_label.setText("检测完成") def update_progress(self, current, total, url): self.progress_bar.setMaximum(total) self.progress_bar.setValue(current) self.status_label.setText(f"正在检测: {url} ({current}/{total})") def show_judgment_basis(self, result): """显示判断依据对话框""" dialog = JudgmentBasisDialog(self, result) dialog.exec_() def add_result(self, result): self.results.append(result) row = self.result_table.rowCount() self.result_table.insertRow(row) # URL url_item = QTableWidgetItem(result["url"]) url_item.setFlags(url_item.flags() ^ Qt.ItemIsEditable) self.result_table.setItem(row, 0, url_item) # 状态码 status = result["status"] status_item = QTableWidgetItem(str(status)) status_item.setFlags(status_item.flags() ^ Qt.ItemIsEditable) if status == 200: status_item.setForeground(Qt.darkGreen) elif 400 <= status < 500: status_item.setForeground(Qt.darkRed) elif status >= 500: status_item.setForeground(Qt.darkMagenta) self.result_table.setItem(row, 1, status_item) # CMS类型（主结果） primary = result["primary"] cms_item = QTableWidgetItem(primary["cms"]) cms_item.setFlags(cms_item.flags() ^ Qt.ItemIsEditable) self.result_table.setItem(row, 2, cms_item) # 版本 version_item = QTableWidgetItem(primary["version"]) version_item.setFlags(version_item.flags() ^ Qt.ItemIsEditable) self.result_table.setItem(row, 3, version_item) # 置信度 confidence = primary["confidence"] confidence_item = QTableWidgetItem(f"{confidence}%") confidence_item.setFlags(confidence_item.flags() ^ Qt.ItemIsEditable) if confidence >= 90: confidence_item.setForeground(Qt.darkGreen) elif confidence >= 70: confidence_item.setForeground(Qt.darkBlue) elif confidence >= 50: confidence_item.setForeground(Qt.darkOrange) else: confidence_item.setForeground(Qt.darkGray) self.result_table.setItem(row, 4, confidence_item) # 查看依据按钮 view_btn = QPushButton("查看依据") # 使用lambda表达式传递当前result view_btn.clicked.connect(lambda checked, res=result: self.show_judgment_basis(res)) self.result_table.setCellWidget(row, 5, view_btn) def add_fingerprint(self): dialog = AddFingerprintDialog(self) if dialog.exec_() == QDialog.Accepted: fingerprint = dialog.get_fingerprint() if fingerprint and self.fingerprint_manager.add_fingerprint(fingerprint): self.populate_fingerprint_tree() self.log(f"已添加指纹: {fingerprint['cms']}") def edit_fingerprint(self): selected_items = self.fingerprint_tree.selectedItems() if not selected_items: QMessageBox.warning(self, "警告", "请选择一个指纹进行编辑") return item = selected_items[0] index = item.data(0, Qt.UserRole) fingerprints = self.fingerprint_manager.get_fingerprints() if index is None or not (0 <= index < len(fingerprints)): QMessageBox.warning(self, "错误", "无效的指纹索引") return fingerprint = fingerprints[index] dialog = AddFingerprintDialog(self, fingerprint) if dialog.exec_() == QDialog.Accepted: updated = dialog.get_fingerprint() if updated and self.fingerprint_manager.update_fingerprint(index, updated): self.populate_fingerprint_tree() self.log(f"已更新指纹: {updated['cms']}") def remove_fingerprint(self): selected_items = self.fingerprint_tree.selectedItems() if not selected_items: QMessageBox.warning(self, "警告", "请选择要删除的指纹") return item = selected_items[0] cms_name = item.text(0) index = item.data(0, Qt.UserRole) reply = QMessageBox.question( self, "确认删除", f"确定要删除 '{cms_name}' 的指纹吗？", QMessageBox.Yes | QMessageBox.No ) if reply == QMessageBox.Yes: self.fingerprint_manager.remove_fingerprint(index) self.populate_fingerprint_tree() self.log(f"已删除指纹: {cms_name}") def clear_fingerprints(self): if not self.fingerprint_manager.get_fingerprints(): QMessageBox.information(self, "提示", "指纹库已为空") return reply = QMessageBox.question( self, "确认清空", "确定要清空所有指纹吗？此操作不可恢复！", QMessageBox.Yes | QMessageBox.No ) if reply == QMessageBox.Yes: self.fingerprint_manager.clear_fingerprints() self.populate_fingerprint_tree() self.log("已清空所有指纹") def restore_default_fingerprints(self): reply = QMessageBox.question( self, "确认恢复", "确定要恢复默认指纹库吗？当前指纹将被替换！", QMessageBox.Yes | QMessageBox.No ) if reply == QMessageBox.Yes: self.fingerprint_manager.restore_default_fingerprints() self.populate_fingerprint_tree() self.log("已恢复默认指纹库") def import_fingerprints(self): file_path, _ = QFileDialog.getOpenFileName( self, "导入指纹库", "", "JSON文件 (*.json);;所有文件 (*)" ) if file_path and self.fingerprint_manager.import_fingerprints(file_path): self.populate_fingerprint_tree() self.log(f"成功导入指纹库: {file_path}") def export_fingerprints(self): file_path, _ = QFileDialog.getSaveFileName( self, "导出指纹库", "cms_fingerprints.json", "JSON文件 (*.json)" ) if file_path and self.fingerprint_manager.export_fingerprints(file_path): self.log(f"成功导出指纹库: {file_path}") def export_results(self): if not self.results: QMessageBox.warning(self, "警告", "没有结果可导出") return file_path, _ = QFileDialog.getSaveFileName( self, "导出结果", "", "CSV文件 (*.csv);;JSON文件 (*.json)" ) if not file_path: return try: if file_path.endswith(".csv"): with open(file_path, 'w', newline='', encoding='utf-8') as f: writer = csv.writer(f) writer.writerow(["URL", "状态", "CMS类型", "版本", "置信度(%)"]) for result in self.results: primary = result["primary"] writer.writerow([ result["url"], result["status"], primary["cms"], primary["version"], primary["confidence"] ]) elif file_path.endswith(".json"): # 导出完整结果，包括判断依据 with open(file_path, 'w', encoding='utf-8') as f: json.dump(self.results, f, indent=4, ensure_ascii=False) self.log(f"结果已导出到: {file_path}") except Exception as e: QMessageBox.critical(self, "导出错误", f"导出失败: {str(e)}") def log(self, message): timestamp = time.strftime("%H:%M:%S") self.log_area.append(f"[{timestamp}] {message}") def show_about(self): about_text = """

多CMS识别工具 (带判断依据)

版本: 2.3.0

功能特点:

  • 显示详细的识别判断依据
  • URL路径特征主动访问验证
  • 并发检测提高效率
  • 核心特征加权识别，准确率高
  • 支持正则表达式测试和验证
  • 可自定义超时时间和重试次数

使用说明: 点击结果中的"查看依据"按钮可查看详细的识别依据

""" QMessageBox.about(self, "关于", about_text) def closeEvent(self, event): if self.detection_thread and self.detection_thread.isRunning(): reply = QMessageBox.question( self, "检测中", "检测仍在进行中，确定要退出吗？", QMessageBox.Yes | QMessageBox.No ) if reply == QMessageBox.Yes: self.detection_thread.stop() event.accept() else: event.ignore() else: event.accept() if __name__ == "__main__": if hasattr(Qt, 'AA_EnableHighDpiScaling'): QApplication.setAttribute(Qt.AA_EnableHighDpiScaling, True) if hasattr(Qt, 'AA_UseHighDpiPixmaps'): QApplication.setAttribute(Qt.AA_UseHighDpiPixmaps, True) app = QApplication(sys.argv) app.setStyle("Fusion") window = CMSDetectorApp() window.show() sys.exit(app.exec_()) 修改代码提高验证效率 其他无需修改 完整输出
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