CVE-2025-53770：SharePoint零日漏洞扫描器

📋 项目概述

CVE-2025-53770 SharePoint漏洞扫描器是一个专业的网络安全检测工具，专门用于识别存在严重反序列化漏洞的Microsoft SharePoint Server实例。该漏洞（CVSS评分9.8）允许未经身份验证的远程攻击者通过利用ExcelDataSet组件中的反序列化缺陷，实现远程代码执行和机器密钥提取。

本扫描器基于真实世界中观察到的攻击模式开发，通过多维度检测机制提供准确的漏洞评估，包括机器密钥提取检测、二次payload部署验证和SharePoint组件处理指标分析。

⚡ 功能特性

• 🔍 自动化漏洞检测 - 批量扫描多个SharePoint实例，识别CVE-2025-53770漏洞
• 📊 多维度置信度评分 - 基于机器密钥提取、二次payload部署、组件处理等指标综合评分
• 🌐 异步并发扫描 - 支持高并发扫描，提高大规模资产检测效率
• 🛡️ 安全响应分析 - 检测目标安全响应特征，识别潜在的安全防护措施
• 📝 多格式报告输出 - 支持JSON、CSV等多种报告格式，便于集成和审计
• 🔐 SSL/TLS信息收集 - 自动获取目标SSL证书信息，评估传输层安全
• 📌 SharePoint版本识别 - 通过响应特征推断SharePoint版本信息
• ⚙️ 可配置扫描策略 - 自定义并发数、超时时间、重试策略等参数

📦 安装指南

系统要求

• Python 3.8+
• 操作系统：Windows/Linux/macOS
• 依赖包：requests, urllib3

安装步骤

1. 克隆代码库

git clone https://github.com/your-repo/cve-2025-53770-scanner.git
cd cve-2025-53770-scanner

2. 安装依赖

pip install requests urllib3

3. 验证安装

python scanner.py --help

🚀 使用说明

基础用法

扫描单个目标：

python scanner.py -u https://target-sharepoint.com

批量扫描多个目标：

python scanner.py -f targets.txt -o results.json

高级扫描配置：

python scanner.py -f targets.txt --concurrency 20 --timeout 10 --retry 3 --output-format csv

参数说明

参数	说明
-u, --url	指定单个目标URL
-f, --file	指定包含多个目标URL的文件
-o, --output	输出结果文件路径
--output-format	输出格式（json/csv）
--concurrency	并发扫描数量（默认10）
--timeout	请求超时时间（秒）
--retry	失败重试次数
--no-ssl-verify	禁用SSL证书验证

典型使用场景

场景一：企业资产安全评估

python scanner.py -f corporate-sharepoint-servers.txt --concurrency 5 --output-format json -o assessment-$(date +%Y%m%d).json

场景二：紧急漏洞排查

python scanner.py -u https://critical-sharepoint-server.com --timeout 5 --retry 2

💻 核心代码

扫描结果数据模型

@dataclass
class ScanResult:
    """Data class for scan results"""
    host: str
    url: str
    scan_time: str
    vulnerable: bool = False
    status_code: Optional[int] = None
    response_size: int = 0
    error: Optional[str] = None
    response_time: Optional[float] = None
    request_size: int = 0
    detection_confidence: str = "none"
    confidence_score: int = 0
    vulnerability_indicators: List[str] = None
    ssl_info: Dict[str, Any] = None
    sharepoint_info: Dict[str, Any] = None
    security_headers: Dict[str, Any] = None
    sharepoint_version_hint: str = "Unknown"
    endpoint_tested: str = ""
    cached_result: bool = False
    scan_metrics: Dict[str, Any] = None

    def __post_init__(self):
        if self.vulnerability_indicators is None:
            self.vulnerability_indicators = []

漏洞检测核心逻辑

class SharePointVulnerabilityScanner:
    """CVE-2025-53770 SharePoint漏洞扫描器"""
    
    def __init__(self, concurrency=10, timeout=30, retry=3):
        self.concurrency = concurrency
        self.timeout = timeout
        self.retry = retry
        self.session = self._create_session()
        
    def _create_session(self):
        """创建配置了重试策略的会话"""
        session = requests.Session()
        retry_strategy = Retry(
            total=self.retry,
            backoff_factor=1,
            status_forcelist=[429, 500, 502, 503, 504]
        )
        adapter = HTTPAdapter(max_retries=retry_strategy)
        session.mount("http://", adapter)
        session.mount("https://", adapter)
        return session
    
    def check_vulnerability(self, url):
        """检查目标是否存在CVE-2025-53770漏洞"""
        try:
            # 检测端点：ToolPane.aspx是已知的漏洞利用入口
            test_endpoints = [
                "/_layouts/15/ToolPane.aspx",
                "/_layouts/ToolPane.aspx"
            ]
            
            for endpoint in test_endpoints:
                target_url = url.rstrip('/') + endpoint
                response = self.session.get(
                    target_url,
                    timeout=self.timeout,
                    verify=False
                )
                
                # 分析响应特征，判断是否存在漏洞
                result = ScanResult(
                    host=urlparse(url).netloc,
                    url=target_url,
                    scan_time=datetime.now().isoformat(),
                    status_code=response.status_code,
                    response_size=len(response.content),
                    response_time=response.elapsed.total_seconds(),
                    endpoint_tested=endpoint
                )
                
                # 漏洞特征检测逻辑
                if self._analyze_vulnerability_indicators(response):
                    result.vulnerable = True
                    result.confidence_score = self._calculate_confidence(response)
                    result.vulnerability_indicators = self._extract_indicators(response)
                    
                return result
                
        except Exception as e:
            return ScanResult(
                host=urlparse(url).netloc,
                url=url,
                scan_time=datetime.now().isoformat(),
                error=str(e)
            )

漏洞利用Payload示例

# 漏洞利用payload模板（用于检测，非实际利用）
class ExploitPayloadGenerator:
    """生成用于漏洞验证的payload"""
    
    @staticmethod
    def generate_viewstate_payload(machine_key):
        """基于机器密钥生成ViewState payload"""
        # 这个payload用于验证是否存在反序列化漏洞
        payload_template = """
        <%@ Page Language="C#" %>
        <script runat="server">
        void Page_Load(object sender, EventArgs e) {
            // 验证代码执行能力，不执行实际攻击
            Response.Write("CVE-2025-53770 Detection");
        }
        </script>
        """
        
        # 使用machineKey加密payload
        encrypted_payload = ExploitPayloadGenerator._encrypt_with_machinekey(
            payload_template, 
            machine_key
        )
        
        return encrypted_payload
    
    @staticmethod
    def _encrypt_with_machinekey(payload, machine_key):
        """模拟使用机器密钥加密payload的过程"""
        # 实际加密逻辑会根据machineKey的validationKey和decryptionKey实现
        # 这里仅作示例
        payload_hash = hashlib.sha256(
            (payload + machine_key).encode()
        ).hexdigest()
        
        return {
            '__VIEWSTATE': payload_hash,
            '__VIEWSTATEGENERATOR': 'CA0B0334',
            '__EVENTVALIDATION': '/wEdAAI='
        }

置信度评分引擎

class ConfidenceScorer:
    """漏洞检测置信度评分引擎"""
    
    # 权重配置
    WEIGHTS = {
        'machine_key_extracted': 40,
        'secondary_payload_success': 30,
        'component_indicators': 20,
        'response_anomalies': 10
    }
    
    @classmethod
    def calculate_score(cls, scan_result):
        """计算漏洞检测置信度"""
        score = 0
        indicators = scan_result.vulnerability_indicators
        
        if not indicators:
            return 0
        
        # 机器密钥提取检测（最高权重）
        if any('machine_key' in ind for ind in indicators):
            score += cls.WEIGHTS['machine_key_extracted']
            
        # 二次payload部署验证
        if any('payload_execution' in ind for ind in indicators):
            score += cls.WEIGHTS['secondary_payload_success']
            
        # SharePoint组件处理指标
        component_matches = sum(
            1 for ind in indicators if 'component' in ind
        )
        if component_matches > 2:
            score += cls.WEIGHTS['component_indicators']
        elif component_matches > 0:
            score += cls.WEIGHTS['component_indicators'] // 2
            
        # 响应异常特征
        if scan_result.response_time and scan_result.response_time > 5:
            score += cls.WEIGHTS['response_anomalies'] // 2
            
        # 根据得分确定置信度等级
        if score >= 70:
            scan_result.detection_confidence = "high"
        elif score >= 40:
            scan_result.detection_confidence = "medium"
        elif score > 0:
            scan_result.detection_confidence = "low"
            
        return score

📊 输出示例

{
  "host": "sharepoint.example.com",
  "url": "https://sharepoint.example.com/_layouts/15/ToolPane.aspx",
  "scan_time": "2025-07-19T14:23:45",
  "vulnerable": true,
  "status_code": 200,
  "response_size": 15423,
  "response_time": 3.245,
  "detection_confidence": "high",
  "confidence_score": 85,
  "vulnerability_indicators": [
    "machine_key_extracted: validationKey found in response",
    "component_indicators: ExcelDataSet deserialization detected",
    "payload_execution: secondary payload verified"
  ],
  "sharepoint_version_hint": "SharePoint Server 2019",
  "endpoint_tested": "/_layouts/15/ToolPane.aspx"
}

---

⚠️ 免责声明：本工具仅用于安全研究和授权测试。未经授权的扫描可能违反法律法规。使用者需自行承担所有责任。FINISHED
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