import requests from bs4 import BeautifulSoup import os import re from urllib.parse import urljoin # 定义关键词列表 KEYWORDS = [""] def sanitize_text(text): """增强型文本清洗""" text = re.sub(r'<[^>]+>', '', text) text = re.sub(r'https?://\S+', '', text) replacements = { ' ': ' ', '&': '&', '"': '"', '<': '<', '>': '>' } for k, v in replacements.items(): text = text.replace(k, v) text = re.sub(r'[■◆▼©®™●【】]', '', text) text = re.sub(r'\s+', ' ', text).strip() return text def save_content(url, save_folder): """安全获取并保存网页内容""" try: headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'} response = requests.get(url, headers=headers, timeout=10) response.encoding = 'utf-8' if response.status_code == 200: soup = BeautifulSoup(response.text, 'html.parser') main_content = soup.find(['article', 'div'], class_=re.compile(r'content|main')) clean_text = sanitize_text(main_content.get_text() if main_content else soup.get_text()) # 生成安全文件名 filename = re.sub(r'[\\/*?:"<>|]', '', url.split('/')[-1])[:50] + '.txt' filepath = os.path.join(save_folder, filename) with open(filepath, 'w', encoding='utf-8') as f: f.write(clean_text) print(f'成功保存至: {filepath}') else: print(f'访问失败: {url} 状态码: {response.status_code}') except Exception as e: print(f'处理{url}时出错: {str(e)}') def main(): """主程序""" # 设置保存路径 desktop = os.path.join(os.path.expanduser('~'), 'Desktop') folder_name = "ScrapedData" # 自定义文件夹名称 save_path = os.path.join(desktop, folder_name) # 创建保存目录（如果不存在） os.makedirs(save_path, exist_ok=True) # 模拟种子页面（需合法授权后替换实际目标网站） seed_url = "http://www.81.cn/" # 示例地址 try: res = requests.get(seed_url, timeout=10) soup = BeautifulSoup(res.text, 'html.parser') # 提取包含关键词的链接 links = [] for a in soup.find_all('a', href=True): text = a.get_text().strip() if any(keyword in text for keyword in KEYWORDS): absolute_url = urljoin(seed_url, a['href']) links.append(absolute_url) # 去重处理 unique_links = list(set(links)) # 保存内容（建议控制频率） for link in unique_links[:5]: # 示例仅处理前5条 save_content(link, save_path) except Exception as e: print(f'程序终止: {str(e)}') if __name__ == "__main__": main() 在上述代码基础上将输出txt中没有内容的删除掉，请给出完整代码

import reimport requestsfrom bs4 import BeautifulSoupimport t

from bs4 import BeautifulSoup import time from xlwt import * poems = [] # 将故事变成了一个全局变量。 def getHtml(page): ''' 获取网页数据 :param page: 页数 :return: 网页html数据(文本格式) ''' ...

python调试文件时发生import requests报错.doc

Python 调试文件时发生 Import Requests 报错解决方法在 Python 调试文件时，如果碰到 Import Requests 报错，可能是因为 Python 环境中没有安装 Requests 库所致。解决这个问题需要完成 pip 安装过程，下面是详细...

1_import requests #导入请求包.ini

优化代码：#!/usr/bin/env python3 # -- coding: utf-8 -- import os import re import sys import time import requests from tqdm import tqdm from bs4 import BeautifulSoup from urllib.parse import urljoin def download_vr_images( target_url, save_dir='/Users/sunhui/Downloads/tu', max_retry=3, timeout=30, concurrency=5 ): """ 全景图片下载核心函数参数： - target_url: 目标网页URL - save_dir: 存储路径（默认：用户下载目录） - max_retry: 最大重试次数 - timeout: 请求超时时间（秒） - concurrency: 并发下载数 """ # ==================== 路径验证 ==================== if not os.path.isabs(save_dir): raise ValueError(f"路径必须为绝对路径：{save_dir}") illegal_chars = re.findall(r'[<>:"|?*]', save_dir) if illegal_chars: raise ValueError(f"路径包含非法字符：{''.join(set(illegal_chars))}") try: os.makedirs(save_dir, exist_ok=True) test_file = os.path.join(save_dir, '__perm_test.tmp') with open(test_file, 'w') as f: f.write('permission_test') os.remove(test_file) except Exception as e: raise RuntimeError(f"路径初始化失败: {str(e)}") # ==================== 网络请求 ==================== headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36', 'Referer': target_url } try: response = requests.get(target_url, headers=headers, timeout=timeout) response.raise_for_status() except requests.exceptions.RequestException as e: raise ConnectionError(f"网页请求失败: {str(e)}") # ==================== 内容解析 ==================== soup = BeautifulSoup(response.text, 'html.parser') # 两种图片链接提取策略 img_links = [] # 策略1：通过CSS类名匹配 vr_images = soup.select('div.vr-container img.full-res') # 策略2：通过正则表达式匹配 pattern = re.compile(r'(https?://\S+?\.(jpg|png|webp))', re.IGNORECASE) fallback_links = pattern.findall(response.text) if vr_images: for img in vr_images: img_url = img.get('data-src') or img.get('src') if img_url: img_links.append(urljoin(target_url, img_url)) elif fallback_links: img_links = [urljoin(target_url, link[0]) for link in fallback_links] else: raise ValueError("未检测到有效图片链接") # ==================== 下载逻辑 ==================== success_count = 0 for idx, img_url in enumerate(tqdm(img_links, desc="下载进度", unit="file"), 1): file_name = f"vr_image_{time.strftime('%Y%m%d%H%M%S')}_{idx}.{img_url.split('.')[-1]}" save_path = os.path.join(save_dir, file_name) for retry in range(max_retry + 1): try: with requests.get(img_url, stream=True, headers=headers, timeout=timeout) as r: r.raise_for_status() total_size = int(r.headers.get('content-length', 0)) with open(save_path, 'wb') as f: for chunk in r.iter_content(chunk_size=8192): if chunk: f.write(chunk) success_count += 1 break except Exception as e: if retry == max_retry: print(f"\n⚠️ 文件下载失败：{img_url} | 错误：{str(e)}") else: time.sleep(2 ** retry) # ==================== 结果报告 ==================== print(f"\n✅ 下载完成 | 成功：{success_count}/{len(img_links)}") print(f"📁 存储路径：{save_dir}") if name == "main": # 使用示例 try: download_vr_images( target_url="https://vr.justeasy.cn/view/1709b5704a0u64f4-1711545753.html", save_dir="/Users/sunhui/Downloads/tu" ) except Exception as e: print(f"❌ 运行错误：{str(e)}") sys.exit(1)

from urllib.parse import urljoin from pathlib import Path import threading class VRImageDownloader: """全景图片下载器（线程安全）""" def __init__( self, save_dir: str = '/Users/sunhui/Downloads...

import os import logging from urllib.parse import urljoin from concurrent.futures import ThreadPoolExecutor import time import requests from bs4 import BeautifulSoup # 配置日志记录 logging.basicConfig( level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s', handlers=[logging.StreamHandler(), logging.FileHandler('crawler.log')] ) logger = logging.getLogger(name) # 图片保存路径 IMAGE_DIR = 'downloaded_images' if not os.path.exists(IMAGE_DIR): os.makedirs(IMAGE_DIR) # 已爬取 URL 集合（用于去重） visited_urls = set() # Markdown 文件保存路径 MD_FILE = 'crawled_content.md' def fetch_page(url, retries=3): """抓取网页内容""" try: response = requests.get(url, timeout=10) response.raise_for_status() # 检查 HTTP 响应状态码 return response.text except requests.RequestException as e: logger.error(f" 请求 {url} 失败: {e}") if retries > 0: logger.info(f" 重试 {url}, 剩余尝试次数: {retries - 1}") time.sleep(2) # 等待 2 秒后重试 return fetch_page(url, retries - 1) else: logger.error(f" 放弃请求 {url}") return None def parse_page(html): """解析网页内容""" soup = BeautifulSoup(html, 'html.parser') # 提取图片链接 img_tags = soup.find_all('img') img_urls = [ urljoin(soup.base['href'], img['src']) if 'src' in img and img['src'] else '' for img in img_tags ] # 提取文本内容 text_content = soup.get_text(strip=True) return { 'text': text_content, 'images': img_urls } def download_image(img_url): """下载图片""" try: response = requests.get(img_url, stream=True, timeout=10) response.raise_for_status() # 提取文件名 img_name = img_url.split('/')[-1] img_path = os.path.join(IMAGE_DIR, img_name) with open(img_path, 'wb') as f: for chunk in response.iter_content(chunk_size=8192): f.write(chunk) logger.info(f" 图片已下载: {img_url}") return img_name # 返回图片文件名 except requests.RequestException as e: logger.error(f" 下载图片失败: {img_url}, 错误信息: {e}") return None def crawl_page(url): """爬取单个页面""" if url in visited_urls: logger.info(f" 跳过已爬取的 URL: {url}") return logger.info(f" 正在爬取: {url}") html = fetch_page(url) if not html: return data = parse_page(html) visited_urls.add(url) # 下载图片并生成Markdown图片链接 markdown_images = [] with ThreadPoolExecutor(max_workers=5) as executor: futures = [executor.submit(download_image, img_url) for img_url in data['images']] for future in futures: img_name = future.result() if img_name: markdown_images.append(f"![{img_name}]({os.path.join(IMAGE_DIR, img_name)})") # 将内容保存到Markdown文件 save_to_markdown(data['text'], markdown_images) return data['text'] def save_to_markdown(text, images): """将文本和图片保存到Markdown文件""" with open(MD_FILE, 'a', encoding='utf-8') as f: f.write(f"# 页面内容\n\n") f.write(f"{text}\n\n") if images: f.write(f"## 图片内容\n\n") for img in images: f.write(f"{img}\n\n") logger.info(" 内容已保存到Markdown文件") def crawl_pages(base_url, page_param='page', start_page=1, max_pages=10): """分页爬取""" all_data = [] current_page = start_page while current_page <= max_pages: url = f"{base_url}?{page_param}={current_page}" logger.info(f" 开始爬取第 {current_page} 页: {url}") # 爬取当前页面 page_content = crawl_page(url) if not page_content: logger.warning(f" 第 {current_page} 页没有有效内容") break # 如果当前页没有内容，停止爬取 # 将当前页的内容添加到总数据中 all_data.append(page_content) # 增加页码，继续下一页 current_page += 1 logger.info(" 分页爬取完成") return all_data def main(): base_url = "https://www.21ic.com/article/906177.html" # 替换为目标网站 page_param = "page" start_page = 1 max_pages = 10 try: all_data = crawl_pages(base_url, page_param, start_page, max_pages) logger.info(" 所有页面爬取完成") except Exception as e: logger.error(f" 爬取过程中发生错误: {e}") if name == 'main': main()优化我的爬虫代码，并且给我完整的修改之后的代码

from urllib.parse import urljoin, urlparse from concurrent.futures import ThreadPoolExecutor, as_completed import time import requests from bs4 import BeautifulSoup from tqdm import tqdm # 进度条支持 ...

import os import re import logging import hashlib import json from urllib.parse import urljoin, urlparse from concurrent.futures import ThreadPoolExecutor, as_completed import time import requests from bs4 import BeautifulSoup from tqdm import tqdm # 配置项（可扩展） CONFIG = { 'REQUEST': { 'headers': { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36', 'Accept-Encoding': 'gzip, deflate', 'Referer': 'https://www.google.com/' }, 'timeout': 20, 'max_retries': 5, 'delay': 1.5, 'proxy': None # 格式: {'http': 'http://10.10.1.10:3128'} }, 'SAVING': { 'image_dir': 'downloads/images', 'text_dir': 'downloads/text', 'max_filename_length': 100, 'image_types': ['.jpg', '.png', '.webp'] }, 'PERFORMANCE': { 'max_workers': 10, 'batch_size': 50 }, 'ANTI_CRAWL': { 'rotate_user_agents': False, 'use_proxy_pool': False } } # 初始化目录 os.makedirs(CONFIG['SAVING']['image_dir'], exist_ok=True) os.makedirs(CONFIG['SAVING']['text_dir'], exist_ok=True) # 日志配置 logging.basicConfig( level=logging.INFO, format='%(asctime)s [%(levelname)s] %(message)s', handlers=[ logging.FileHandler('crawler.log', encoding='utf-8'), logging.StreamHandler() ] ) logger = logging.getLogger(name) class CrawlerSession: """爬虫会话管理""" def init(self): self.session = requests.Session() self.proxy = CONFIG['REQUEST']['proxy'] self.retry_count = 0 self.last_request_time = 0 def get(self, url): """带速率限制的请求""" self._rate_limit() try: response = self.session.get( url, headers=CONFIG['REQUEST']['headers'], proxies=self.proxy, timeout=CONFIG['REQUEST']['timeout'] ) response.raise_for_status() return response except requests.RequestException as e: logger.warning(f"请求失败: {url} - {str(e)}") return None def _rate_limit(self): """请求速率控制""" elapsed = time.time() - self.last_request_time if elapsed < CONFIG['REQUEST']['delay']: time.sleep(CONFIG['REQUEST']['delay'] - elapsed) self.last_request_time = time.time() class ContentParser: """内容解析器""" @staticmethod def safe_parse(html, parser=None): """安全解析HTML（自动选择可用解析器）""" try: # 尝试按优先级选择解析器 for p in ['lxml', 'html.parser', 'html5lib']: try: return BeautifulSoup(html, p) except Exception: continue return BeautifulSoup(html, 'html.parser') # 最终回退 except Exception as e: logger.error(f"解析失败: {str(e)}") return None @staticmethod def extract_links(soup, base_url): """提取页面链接""" links = [] for a in soup.find_all('a', href=True): link = urljoin(base_url, a['href']) links.append(link) return links @staticmethod def extract_images(soup, base_url): """提取图片链接""" img_urls = [] for img in soup.find_all('img'): sources = [img.get('src'), img.get('data-src'), img.get('data-original')] for src in sources: if src and src.strip(): img_url = urljoin(base_url, src.strip()) img_urls.append(img_url) break return img_urls class FileManager: """文件管理""" @staticmethod def sanitize_filename(filename): """生成安全文件名""" filename = re.sub(r'[\\/*?:"<>|]', "", filename)[:CONFIG['SAVING']['max_filename_length']] if not filename: return hashlib.md5(str(time.time()).encode()).hexdigest() return filename @staticmethod def save_image(content, extension): """保存图片文件""" filename = f"{hashlib.md5(content).hexdigest()}{extension}" path = os.path.join(CONFIG['SAVING']['image_dir'], filename) with open(path, 'wb') as f: f.write(content) return path @staticmethod def save_text(content, url): """保存文本文件""" filename = FileManager.sanitize_filename(urlparse(url).path) + '.txt' path = os.path.join(CONFIG['SAVING']['text_dir'], filename) with open(path, 'w', encoding='utf-8') as f: f.write(content) return path class CrawlerEngine: """爬虫引擎""" def init(self): self.visited_urls = set() self.session = CrawlerSession() self.parser = ContentParser() self.file_manager = FileManager() def crawl(self, start_url, max_depth=2, max_pages=100): """启动爬虫""" queue = [(start_url, 1)] results = [] with tqdm(total=max_pages, desc="爬取进度") as pbar: while queue and len(results) < max_pages: url, depth = queue.pop(0) if depth > max_depth: continue if url in self.visited_urls: continue self.visited_urls.add(url) # 处理当前页面 content = self._process_page(url) if content: results.append(content) pbar.update(1) # 提取新链接 soup = self.parser.safe_parse(content['html']) if soup: new_links = self.parser.extract_links(soup, url) queue.extend([(link, depth + 1) for link in new_links]) return results class CrawlerEngine: def _process_page(self, url): """增强版页面处理方法""" try: # 网络请求增强处理 try: response = self.session.get(url) response.raise_for_status() # 检查HTTP状态码 except requests.exceptions.RequestException as e: logger.error(f"请求失败: {url} - {str(e)}") return None except Exception as e: logger.error(f"未知请求错误: {url} - {str(e)}") return None # 响应内容验证 if not response or not response.text: logger.warning(f"空响应内容: {url}") return None # 自动检测编码 try: detected_encoding = response.apparent_encoding decoded_content = response.content.decode(detected_encoding) except UnicodeDecodeError: logger.warning(f"编码检测失败，使用备用解码: {url}") decoded_content = response.text # 回退到requests的自动解码 content = { 'url': url, 'html': decoded_content, 'images': [], 'text': '' } # 解析增强处理 try: soup = self.parser.safe_parse(content['html']) if not soup or not soup.find(): logger.warning(f"无效的HTML结构: {url}") return None except Exception as e: logger.error(f"解析异常: {url} - {str(e)}") return None # 文本提取增强 try: text = soup.get_text(strip=True) # 清理非法字符 text = re.sub(r'[\x00-\x08\x0b\x0c\x0e-\x1f\x7f-\x9f]', '', text) content['text'] = text except AttributeError: logger.warning(f"文本提取失败: {url}") content['text'] = '' except UnicodeEncodeError: logger.warning(f"编码标准化失败: {url}") content['text'] = text.encode('utf-8', 'replace').decode('utf-8') # 图片下载增强 try: img_urls = self.parser.extract_images(soup, url) with ThreadPoolExecutor(max_workers=CONFIG['PERFORMANCE']['max_workers']) as executor: futures = {executor.submit(self._download_image, img_url): img_url for img_url in img_urls} for future in as_completed(futures): img_url = futures[future] try: if image := future.result(): content['images'].append(image) except Exception as e: logger.warning(f"图片下载失败: {img_url} - {str(e)}") except Exception as e: logger.error(f"图片处理异常: {url} - {str(e)}") return content except Exception as e: logger.critical(f"页面处理严重错误: {url} - {str(e)}", exc_info=True) return None def _download_image(self, img_url): """下载单张图片""" response = self.session.get(img_url) if response and response.headers.get('Content-Type', '').startswith('image/'): ext = os.path.splitext(img_url)[1] if ext.lower() in CONFIG['SAVING']['image_types']: return self.file_manager.save_image(response.content, ext) return None def _save_content(self, content): """保存内容""" # 保存文本 self.file_manager.save_text(content['text'], content['url']) # 生成报告 report = { 'url': content['url'], 'images': len(content['images']), 'text_length': len(content['text']) } logger.info(json.dumps(report, ensure_ascii=False)) if name == 'main': engine = CrawlerEngine() start_url = "https://www.21ic.com/article/906177.html" try: results = engine.crawl(start_url, max_depth=2, max_pages=50) logger.info(f"爬取完成，共获取{len(results)}个页面") except KeyboardInterrupt: logger.info("用户中断爬取") except Exception as e: logger.error(f"爬取失败: {str(e)}")修改我代码，检查出错误并且修改正确，最后给出完整的代码

from bs4 import BeautifulSoup from tqdm import tqdm # 配置项（可扩展） CONFIG = { 'REQUEST': { 'headers': { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like...

import os import re import requests import threading from queue import Queue from datetime import datetime from urllib.parse import unquote class VulnerabilityScanner: def init(self, base_url, output_file="vulnerability_report.html", threads=5): self.base_url = base_url.rstrip('/') self.output_file = output_file self.threads = threads self.vulnerabilities = [] self.lock = threading.Lock() self.task_queue = Queue() # 定义漏洞检测规则 (基于引用[1]的扫描器类型) self.scan_rules = { "XSS": [ {"type": "regex", "pattern": r"<script>alert$.+$</script>", "part": "body"}, {"type": "word", "words": ["onerror=", "javascript:"], "part": "body"} ], "SQL Injection": [ {"type": "regex", "pattern": r"SQL syntax error|mysql_fetch", "part": "body"}, {"type": "status", "status": [500]}, {"type": "word", "words": ["You have an error in your SQL syntax"], "part": "body"} ], "LFI": [ {"type": "regex", "pattern": r"(root:/root|etc/passwd|boot.ini|win.ini)", "part": "body"}, {"type": "word", "words": ["[boot loader]", "[operating systems]"], "part": "body"} ], "CRLF Injection": [ {"type": "word", "words": ["\r\nSet-Cookie:", "\r\nLocation:"], "part": "header"} ] } def sanitize_path(self, path): """安全处理路径输入 (防御路径遍历攻击)""" # 解码URL编码 (防御%2e%2e/绕过) decoded_path = unquote(path) # 标准化路径并过滤非法字符 (引用[1]) normalized = os.path.normpath(decoded_path) if re.search(r"(\.\./|\.\.\\|%2e%2e|@|\|)", normalized, re.IGNORECASE): raise ValueError(f"检测到非法路径字符: {normalized}") # 确保路径以/开头 return '/' + normalized.lstrip('/') def send_request(self, method, path, payload=None): """发送HTTP请求并返回响应""" try: safe_path = self.sanitize_path(path) url = self.base_url + safe_path headers = {"User-Agent": "VulnerabilityScanner/1.0"} params = payload if method == "GET" and payload else None data = payload if method in ["POST", "PUT"] and payload else None return requests.request( method, url, headers=headers, params=params, data=data, timeout=10, verify=False ) except Exception as e: print(f"请求失败: {str(e)}") return None def match_response(self, response, rules): """检查响应是否匹配漏洞规则""" for rule in rules: try: # 状态码匹配 if rule["type"] == "status": if response.status_code in rule["status"]: return True # 关键字匹配 elif rule["type"] == "word": content = response.headers if rule["part"] == "header" else response.text for word in rule["words"]: if word in content: return True # 正则匹配 elif rule["type"] == "regex": content = response.headers if rule["part"] == "header" else response.text if re.search(rule["pattern"], content, re.IGNORECASE): return True except: continue return False def test_endpoint(self, method, path, payload=None): """测试单个端点是否存在漏洞""" response = self.send_request(method, path, payload) if not response: return None results = [] for vuln_type, rules in self.scan_rules.items(): if self.match_response(response, rules): results.append({ "type": vuln_type, "url": response.url, "payload": payload, "status": response.status_code }) return results def worker(self): """多线程工作函数""" while not self.task_queue.empty(): task = self.task_queue.get() method, path, payload = task if results := self.test_endpoint(method, path, payload): with self.lock: self.vulnerabilities.extend(results) self.task_queue.task_done() def generate_report(self): """生成HTML格式漏洞报告 (引用[1])""" timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S") html = f"""<!DOCTYPE html> <html> <head> <title>漏洞扫描报告</title> <style> body {{ font-family: Arial, sans-serif; margin: 20px; }} h1 {{ color: #2c3e50; }} table {{ border-collapse: collapse; width: 100%; }} th, td {{ border: 1px solid #ddd; padding: 8px; text-align: left; }} tr:nth-child(even) {{ background-color: #f2f2f2; }} .critical {{ color: #e74c3c; font-weight: bold; }} </style> </head> <body> 漏洞扫描报告 - {timestamp} 目标URL: {self.base_url} 检测结果漏洞类型 URL 状态码 Payload """ for vuln in self.vulnerabilities: html += f""" {vuln['type']} {vuln['url']} {vuln['status']} {vuln['payload'] or 'N/A'} """ html += """ </body> </html>""" with open(self.output_file, 'w', encoding='utf-8') as f: f.write(html) print(f"报告已生成: {self.output_file}") def scan(self, endpoints): """执行漏洞扫描""" # 准备扫描任务 (引用[2]的效率优化) for method, path, payload in endpoints: self.task_queue.put((method, path, payload)) # 启动多线程扫描 (引用[1]) for _ in range(self.threads): threading.Thread(target=self.worker, daemon=True).start() self.task_queue.join() # 生成报告 if self.vulnerabilities: self.generate_report() return True return False if name == "main": # 配置扫描参数 TARGET_URL = "https://example.com" # 替换为目标URL ENDPOINTS_TO_SCAN = [ ("GET", "/", None), ("GET", "/search?q=<script>alert(1)</script>", None), # XSS测试 ("GET", "/profile?id=1' OR '1'='1", None), # SQL注入测试 ("GET", "/../../etc/passwd", None), # LFI测试 ("GET", "/redirect?url=https://evil.com%0d%0aSet-Cookie:sessionid=123", None) # CRLF测试 ] # 执行扫描 scanner = VulnerabilityScanner(TARGET_URL) if scanner.scan(ENDPOINTS_TO_SCAN): print("发现漏洞! 请查看生成的报告") else: print("未发现漏洞") 请再次完善以上代码，以便直接使用

from bs4 import BeautifulSoup import re class VulnScanner: def __init__(self, target_url): self.target_url = target_url self.session = requests.Session() self.vuln_list = [] def extract_links...

MATLAB_四旋翼matlab模型.zip

二维码(31).zip

生成二维码(8).zip

二维码生成扫描demo.zip

数字图像处理研讨会——基于拉斐尔·冈萨雷斯和理查德·伍兹的《数字图像处理》一书_“Digital Image Proce

数字图像处理研讨会——基于拉斐尔·冈萨雷斯和理查德·伍兹的《数字图像处理》一书_“Digital Image Processing” Workshop - Based on Digital Image Processing Book by Rafael C. Gonzalez and Richard E. Woods.zip

Delphi 13控件之Delphi27Binaries-2025.45-windows.pak

GBK编码文件，js文件

GBK编码文件

一行代码，一行代码解决支付宝和微信的二维码生成，支付回调，退款，H5支付等功能，轻量级不依赖任何框架来实现.zip

基于Spring Boot与UniApp的多端商城系统设计与实现

系统支持前后端分离架构，涵盖微信、支付宝、百度、头条等主流平台的小程序、APP及公众号，内置多种常见支付方式，具备完善的订单处理机制，界面设计美观，是一款功能完备的商城开源平台。毕业设计是高校教育中的一项关键实践性任务，用于评估学生在专业领域内的知识掌握程度、实践能力和创新思维。该任务通常要求学生结合所学理论，针对某一具体问题提出可行的解决方案或开展一项具有实际价值的研究项目。在选题阶段，学生需根据个人兴趣、专业方向及现实需求进行选择，并在导师指导下明确研究目标与核心问题，制定研究计划与实施方案。整个过程通常包含资料查阅、需求分析、系统设计、开发实现及测试优化等多个环节，确保研究的完整性与科学性。在研究过程中，学生需具备较强的自主分析与问题解决能力，可能通过实验、调研、案例研究等方式收集数据并验证假设，从而提升专业技能与实际操作能力。撰写毕业设计报告是核心环节之一，需详细记录研究过程、方法、结果及结论，以全面展示研究成果。同时，这一过程也有助于提升学生的学术表达能力与逻辑思维水平。最终，毕业设计成果将由导师及相关专家进行评审，评价标准涵盖创新性、应用价值、研究方法的合理性及论文撰写质量等方面。毕业设计的成绩将作为学生学业评估的重要依据，直接影响其毕业资格与学位授予。总体而言，毕业设计是高校教学体系中的重要组成部分，不仅有助于学生深化专业知识，还能锻炼其独立研究与实践能力，为未来职业发展奠定良好基础。资源来源于网络分享，仅用于学习交流使用，请勿用于商业，如有侵权请联系我删除！

京细菜谱小程序源码云部署美食教程平台

一款用于制作菜谱的微信小程序源码，采用云开发技术实现。该平台专注于提供多样化的饮食内容，涵盖各类常见菜肴的制作方法。系统对不同食材及地域风味进行了细致划分，包括八大菜系、地方特色、特定场景、功能属性、目标人群、烘焙类目、口味偏好以及原料类别等多个维度。该源码支持直接在开发者工具中导入并完成审核，无需额外配置域名或服务器环境。资源来源于网络分享，仅用于学习交流使用，请勿用于商业，如有侵权请联系我删除！

基于zxing 二维码扫描.zip

采用Zxing二维码扫码，然后使用QRCode改了下布局，改成boss直聘扫描二维码的效果.zip

二维码扫描(10).zip

算法 - 归并排序（Merge_sort）

在写归并排序的代码之前，我们先对归并排序的定义和排序原理进行梳理。是一类不同的排序方法。“归并”的含义是将两个或者两个以上的有序表组合成一个新的有序表。利用归并的思想容易实现排序，且这种实现方法已为读者熟悉，无论是顺序存储结构还是链表存储结构，都可以在O（m+n）的时间量级上实现。归并排序也是一个与插入排序、交换排序、选择排序不同的一类排序方法。归并排序是一个基于分治法思想的算法，拿两个已经有序的序列重新组合成一个有序的序列。..................

crazyshader-ToonWater-23724-1756630456297.zip

stm32crazyshader_ToonWater_23724_1756630456297.zip

相关推荐

import reimport requestsfrom bs4 import BeautifulSoupimport t

python调试文件时发生import requests报错.doc

1_import requests #导入请求包.ini

MATLAB_四旋翼matlab模型.zip

二维码(31).zip

生成二维码(8).zip

二维码生成扫描demo.zip

数字图像处理研讨会——基于拉斐尔·冈萨雷斯和理查德·伍兹的《数字图像处理》一书_“Digital Image Proce

Delphi 13控件之Delphi27Binaries-2025.45-windows.pak

GBK编码文件，js文件

一行代码，一行代码解决支付宝和微信的二维码生成，支付回调，退款 ，H5支付等功能，轻量级不依赖任何框架来实现.zip

基于Spring Boot与UniApp的多端商城系统设计与实现

京细菜谱小程序源码云部署美食教程平台

基于zxing 二维码扫描.zip

采用Zxing二维码扫码，然后使用QRCode改了下布局，改成boss直聘扫描二维码的效果.zip

二维码扫描(10).zip

算法 - 归并排序（Merge_sort）

crazyshader-ToonWater-23724-1756630456297.zip

大家在看

触摸屏驱动Touchkit（win7专用版）

徕卡全站仪模拟器.zip

注意和理论部分的小差别-xilinx时序约束

AMT630A液晶屏驱动

3Dfx Voodoo2 的驱动程序，for win95，win98，win NT

最新推荐

MATLAB_四旋翼matlab模型.zip

二维码(31).zip

生成二维码(8).zip

二维码生成扫描demo.zip

数字图像处理研讨会——基于拉斐尔·冈萨雷斯和理查德·伍兹的《数字图像处理》一书_“Digital Image Proce

Hyperledger Fabric v2与Accord Project Cicero智能合约开发指南

深度神经网络优化技巧全解析

什么是噪声功率密度

Libshare: Salesforce的高效可重用模块集合

机器学习技术要点与应用解析

一行代码，一行代码解决支付宝和微信的二维码生成，支付回调，退款，H5支付等功能，轻量级不依赖任何框架来实现.zip