# 恶意SVG文件示例 - 可能触发Skia漏洞
malicious_svg = '''
<svg width="1000" height="1000" xmlns="http://www.w3.org/2000/svg">
  <script type="text/javascript">
    // 特制的图形操作可能触发漏洞
    function triggerExploit() {
      const canvas = document.createElement('canvas');
      const ctx = canvas.getContext('2d');
      
      // 构造特制的图形数据
      const maliciousData = new Uint8Array(1000000);
      // 填充恶意数据
      for(let i = 0; i < maliciousData.length; i++) {
        maliciousData[i] = 0x41; // 'A'
      }
      
      // 可能触发越界写入的操作
      ctx.putImageData(
        new ImageData(
          new Uint8ClampedArray(maliciousData),
          1000, 1000
        ),
        0, 0
      );
    }
  </script>
</svg>
'''

# 通过网页加载恶意SVG
iframe.src = 'data:image/svg+xml;base64,' + b64encode(malicious_svg)

class ChromeSecurityMonitor:
    def __init__(self):
        self.threat_intelligence = ThreatIntelligenceFeed()
        self.event_logger = SecurityEventLogger()
        self.response_engine = SecurityResponseEngine()
        
    def monitor_chrome_activity(self):
        """监控Chrome活动"""
        while True:
            try:
                # 获取Chrome进程信息
                chrome_processes = self.get_chrome_processes()
                
                # 分析进程行为
                for process in chrome_processes:
                    self.analyze_process_behavior(process)
                
                # 检查网络连接
                network_connections = self.get_network_connections()
                self.analyze_network_traffic(network_connections)
                
                # 等待下一次检查
                time.sleep(30)
                
            except Exception as e:
                self.event_logger.log_error(f"监控错误: {e}")
    
    def analyze_process_behavior(self, process):
        """分析进程行为"""
        anomalies = []
        
        # 检查CPU使用率异常
        if process.cpu_percent > 95:
            anomalies.append("CPU使用率异常高")
        
        # 检查内存使用异常
        if process.memory_percent > 90:
            anomalies.append("内存使用率异常高")
        
        # 检查文件访问异常
        suspicious_files = self.check_file_access(process)
        if suspicious_files:
            anomalies.append(f"访问可疑文件: {suspicious_files}")
        
        # 检查网络连接异常
        suspicious_connections = self.check_network_connections(process)
        if suspicious_connections:
            anomalies.append(f"可疑网络连接: {suspicious_connections}")
        
        if anomalies:
            self.event_logger.log_security_event({
                'type': 'process_anomaly',
                'pid': process.pid,
                'anomalies': anomalies,
                'severity': 'high'
            })
            
            # 触发响应措施
            self.response_engine.handle_process_anomaly(process, anomalies)
    
    def check_network_connections(self, process):
        """检查网络连接异常"""
        suspicious_domains = []
        
        try:
            connections = psutil.net_connections()
            for conn in connections:
                if conn.pid == process.pid:
                    # 检查连接的域名
                    if conn.raddr:
                        domain = socket.getnameinfo(conn.raddr, 0)[0]
                        if self.threat_intelligence.is_malicious_domain(domain):
                            suspicious_domains.append(domain)
        
        except Exception as e:
            self.event_logger.log_error(f"网络检查错误: {e}")
        
        return suspicious_domains
    
    def generate_security_report(self):
        """生成安全报告"""
        report = {
            'timestamp': datetime.now().isoformat(),
            'threat_level': self.calculate_threat_level(),
            'affected_systems': self.get_affected_systems(),
            'recommendations': self.generate_recommendations(),
            'incidents': self.get_recent_incidents()
        }
        
        return report

class SecurityResponseEngine:
    def __init__(self):
        self.response_strategies = {
            'process_anomaly': self.handle_process_anomaly,
            'network_threat': self.handle_network_threat,
            'malicious_download': self.handle_malicious_download,
            'data_exfiltration': self.handle_data_exfiltration
        }
        
    def handle_process_anomaly(self, process, anomalies):
        """处理进程异常"""
        severity = self.calculate_severity(anomalies)
        
        if severity >= 'critical':
            # 立即终止进程
            self.terminate_process(process.pid)
            self.alert_admin_team(f"严重进程异常: {process.pid}")
        
        elif severity >= 'high':
            # 隔离进程
            self.isolate_process(process.pid)
            self.collect_process_memory(process.pid)
        
        elif severity >= 'medium':
            # 监控进程
            self.monitor_process(process.pid)
        
        # 记录响应措施
        self.log_response_measures({
            'type': 'process_anomaly',
            'pid': process.pid,
            'anomalies': anomalies,
            'severity': severity,
            'actions_taken': self.get_response_actions()
        })
    
    def terminate_process(self, pid):
        """终止进程"""
        try:
            process = psutil.Process(pid)
            process.terminate()
            
            # 等待进程结束
            try:
                process.wait(timeout=10)
            except psutil.TimeoutExpired:
                process.kill()
                process.wait()
                
        except Exception as e:
            self.log_error(f"无法终止进程 {pid}: {e}")
    
    def isolate_process(self, pid):
        """隔离进程"""
        try:
            # 创建沙箱环境
            sandbox = create_process_sandbox(pid)
            
            # 重定向网络连接
            sandbox.redirect_network_connections()
            
            # 限制文件访问
            sandbox.restrict_file_access()
            
        except Exception as e:
            self.log_error(f"无法隔离进程 {pid}: {e}")
    
    def collect_process_memory(self, pid):
        """收集进程内存"""
        try:
            process = psutil.Process(pid)
            memory_dump = process.memory_info()
            
            # 保存内存转储
            dump_file = f"/tmp/process_{pid}_memory_{int(time.time())}.dmp"
            with open(dump_file, 'wb') as f:
                f.write(memory_dump.rss)
            
            # 分析内存内容
            self.analyze_memory_content(dump_file)
            
        except Exception as e:
            self.log_error(f"无法收集进程内存 {pid}: {e}")

class ChromeVulnerabilityScanner:
    def __init__(self):
        self.known_vulnerabilities = self.load_vulnerability_database()
        self.chrome_paths = self.find_chrome_installations()
        
    def scan_system(self):
        """扫描系统Chrome安装"""
        scan_results = []
        
        for chrome_path in self.chrome_paths:
            try:
                version_info = self.get_chrome_version(chrome_path)
                vulnerabilities = self.check_vulnerabilities(version_info)
                
                scan_results.append({
                    'path': chrome_path,
                    'version': version_info['version'],
                    'is_up_to_date': version_info['is_up_to_date'],
                    'vulnerabilities': vulnerabilities,
                    'risk_level': self.calculate_risk_level(vulnerabilities)
                })
                
            except Exception as e:
                scan_results.append({
                    'path': chrome_path,
                    'error': str(e),
                    'risk_level': 'unknown'
                })
        
        return scan_results
    
    def get_chrome_version(self, chrome_path):
        """获取Chrome版本"""
        try:
            # 检查Chrome版本
            result = subprocess.run([
                chrome_path, '--version'
            ], capture_output=True, text=True, timeout=10)
            
            if result.returncode == 0:
                version_str = result.stdout.strip()
                version_match = re.search(r'(\d+\.\d+\.\d+\.\d+)', version_str)
                
                if version_match:
                    version = version_match.group(1)
                    current_version = self.get_current_chrome_version()
                    
                    return {
                        'version': version,
                        'is_up_to_date': self.compare_versions(version, current_version) >= 0
                    }
            
            raise ValueError("无法获取Chrome版本")
            
        except Exception as e:
            raise ValueError(f"版本检查失败: {e}")
    
    def check_vulnerabilities(self, version_info):
        """检查版本漏洞"""
        vulnerabilities = []
        
        if not version_info['is_up_to_date']:
            # 查找已知漏洞
            for vuln in self.known_vulnerabilities:
                if self.compare_versions(version_info['version'], vuln['affected_version']) < 0:
                    vulnerabilities.append({
                        'id': vuln['id'],
                        'severity': vuln['severity'],
                        'description': vuln['description'],
                        'affected_version': vuln['affected_version']
                    })
        
        return vulnerabilities
    
    def generate_patch_report(self, scan_results):
        """生成补丁报告"""
        report = {
            'timestamp': datetime.now().isoformat(),
            'total_installations': len(scan_results),
            'outdated_installations': sum(1 for r in scan_results if not r['is_up_to_date']),
            'high_risk_systems': sum(1 for r in scan_results if r['risk_level'] == 'high'),
            'recommendations': []
        }
        
        # 生成更新建议
        for result in scan_results:
            if not result['is_up_to_date']:
                report['recommendations'].append({
                    'path': result['path'],
                    'current_version': result['version'],
                    'recommended_action': '立即更新',
                    'urgency': 'high' if result['risk_level'] == 'high' else 'medium'
                })
        
        return report