漏洞扫描工具误报处理类
# 漏洞扫描工具误报处理类设计
## 类概述
`FalsePositiveHandler` 是一个用于处理漏洞扫描工具误报的类,它提供了一系列方法来分析、验证和记录误报情况,帮助安全团队更高效地管理扫描结果。
## 类定义
```python class FalsePositiveHandler: """ 漏洞扫描工具误报处理类
功能: 1. 记录和跟踪误报情况 2. 提供误报验证机制 3. 生成误报统计报告 4. 集成到自动化工作流中 """
def __init__(self, scanner_name="GenericScanner"): """ 初始化误报处理器
参数: scanner_name (str): 使用的漏洞扫描工具名称 """ self.scanner_name = scanner_name self.false_positives = [] # 存储误报记录 self.verification_methods = { 'manual': self._manual_verification, 'automated': self._automated_verification, 'replay': self._replay_verification }
def add_false_positive(self, vulnerability_id, description, evidence, reason): """ 添加误报记录
参数: vulnerability_id (str): 漏洞ID description (str): 漏洞描述 evidence (str): 漏洞证据 reason (str): 判定为误报的原因 """ record = { 'vulnerability_id': vulnerability_id, 'description': description, 'evidence': evidence, 'reason': reason, 'timestamp': self._get_current_time(), 'status': 'unverified' # unverified, verified, resolved } self.false_positives.append(record) return record
def verify_false_positive(self, vulnerability_id, method='manual'): """ 验证误报记录
参数: vulnerability_id (str): 要验证的漏洞ID method (str): 验证方法 ('manual', 'automated', 'replay')
返回: dict: 验证结果 """ record = self._find_record(vulnerability_id) if not record: return {'status': 'error', 'message': 'Record not found'}
if record['status'] == 'verified': return {'status': 'success', 'message': 'Already verified'}
verification_func = self.verification_methods.get(method) if not verification_func: return {'status': 'error', 'message': 'Invalid verification method'}
result = verification_func(vulnerability_id) record['status'] = 'verified' if result['is_false_positive'] else 'invalid' record['verification_method'] = method record['verification_details'] = result
return result
def generate_report(self, format='json', filter_status=None): """ 生成误报报告
参数: format (str): 报告格式 ('json', 'csv', 'html') filter_status (str): 过滤状态 ('unverified', 'verified', 'resolved')
返回: str: 生成的报告内容 """ filtered_records = self.false_positives if filter_status: filtered_records = [r for r in filtered_records if r['status'] == filter_status]
if format == 'json': import json return json.dumps(filtered_records, indent=2) elif format == 'csv': # 实现CSV生成逻辑 pass elif format == 'html': # 实现HTML生成逻辑 pass else: return "Unsupported format"
def update_false_positive_status(self, vulnerability_id, new_status, comment=None): """ 更新误报状态
参数: vulnerability_id (str): 漏洞ID new_status (str): 新状态 ('verified', 'resolved') comment (str): 备注信息
返回: bool: 更新是否成功 """ record = self._find_record(vulnerability_id) if not record: return False
record['status'] = new_status if comment: record['resolution_comment'] = comment return True
def get_false_positive_stats(self): """ 获取误报统计信息
返回: dict: 统计信息 """ stats = { 'total': len(self.false_positives), 'by_status': { 'unverified': sum(1 for r in self.false_positives if r['status'] == 'unverified'), 'verified': sum(1 for r in self.false_positives if r['status'] == 'verified'), 'resolved': sum(1 for r in self.false_positives if r['status'] == 'resolved') } } return stats
# 私有方法
def _find_record(self, vulnerability_id): """查找误报记录""" for record in self.false_positives: if record['vulnerability_id'] == vulnerability_id: return record return None
def _get_current_time(self): """获取当前时间""" from datetime import datetime return datetime.now().isoformat()
def _manual_verification(self, vulnerability_id): """手动验证方法""" # 这里可以集成到JIRA、ServiceNow等工单系统 # 实际实现中可能需要人工输入验证结果 return { 'is_false_positive': True, # 假设验证为误报 'details': 'Manual verification confirmed as false positive', 'verified_by': 'AnalystName' }
def _automated_verification(self, vulnerability_id): """自动化验证方法""" # 实现自动化验证逻辑,如重放请求、检查环境配置等 return { 'is_false_positive': False, # 假设验证不是误报 'details': 'Automated checks failed to confirm as false positive', 'verification_steps': ['Step1', 'Step2'] }
def _replay_verification(self, vulnerability_id): """重放验证方法""" # 实现请求重放验证逻辑 return { 'is_false_positive': True, 'details': 'Request replay confirmed the vulnerability does not exist', 'replay_result': '200 OK with no vulnerable content' } ```
## 使用示例
```python # 初始化误报处理器 handler = FalsePositiveHandler(scanner_name="Nessus")
# 添加误报记录 handler.add_false_positive( vulnerability_id="NESSUS-12345", description="SQL Injection vulnerability", evidence="Request contained ' OR 1=1 --'", reason="Application sanitizes all inputs before processing" )
# 验证误报 verification_result = handler.verify_false_positive( vulnerability_id="NESSUS-12345", method="replay" ) print(verification_result)
# 更新误报状态 handler.update_false_positive_status( vulnerability_id="NESSUS-12345", new_status="resolved", comment="Fixed in version 2.1.0" )
# 生成报告 report = handler.generate_report(format="json") print(report)
# 获取统计信息 stats = handler.get_false_positive_stats() print(stats) ```
## 扩展功能建议
1. 集成工单系统:与JIRA、ServiceNow等集成,自动创建误报工单 2. 机器学习分类:使用ML模型预测误报概率 3. 知识库集成:连接内部知识库查找类似误报案例 4. API接口:提供REST API供其他系统调用 5. 可视化仪表板:生成交互式误报管理仪表板
这个类设计提供了误报管理的基础框架,可以根据实际需求进行扩展和定制。
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