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150 lines
5.3 KiB
150 lines
5.3 KiB
import queue
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#渗透测试树结构维护类
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class AttackTree:
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def __init__(self,root_node):
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#针对根节点处理
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self.root = root_node
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self.root.path = f"目标系统->{root_node.name}"
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def set_root(self,root_node):
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self.root = root_node
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def add_node(self,parent_name,new_node):
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"""根据父节点名称添加新节点"""
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parent_node = self.find_node_by_name(parent_name)
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if parent_node:
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parent_node.add_child(new_node)
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return True
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return False
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def traverse_bfs(self):
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"""广度优先遍历"""
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if not self.root:
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return []
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queue = [self.root]
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result = []
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while queue:
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current = queue.pop(0)
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result.append(current)
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queue.extend(current.children)
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return result
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def traverse_dfs(self, node=None, result=None):
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"""深度优先遍历(前序遍历)"""
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if result is None:
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result = []
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if node is None:
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node = self.root
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if not node:
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return []
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result.append(node)
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for child in node.children:
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self.traverse_dfs(child, result)
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return result
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def find_node_by_name(self, name):
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"""根据名称查找节点(广度优先)"""
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nodes = self.traverse_bfs()
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for node in nodes:
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if node.name == name:
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return node
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return None
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def find_node_by_nodepath(self,node_path):
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'''基于节点路径查找节点,只返回找到的第一个节点,若有节点名称路径重复的情况暂不处理'''
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current_node = self.root #从根节点开始
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node_names = node_path.split('->')
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for node_name in node_names:
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if node_name == current_node.name:#根节点开始
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continue
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else:
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bfound = False
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for child_node in current_node.children:
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if child_node.name == node_name: #约束同一父节点下的子节点名称不能相同
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current_node = child_node
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bfound = True
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break
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if not bfound: #如果遍历子节点都没有符合的,说明路径有问题的,不处理中间一段路径情况
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return None
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#找到的话,就开始匹配下一层
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return current_node
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def find_nodes_by_status(self, status):
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"""根据状态查找所有匹配节点"""
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return [node for node in self.traverse_bfs() if node.status == status]
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def find_nodes_by_vul_type(self, vul_type):
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"""根据漏洞类型查找所有匹配节点"""
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return [node for node in self.traverse_bfs() if node.vul_type == vul_type]
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#考虑要不要用tree封装节点的操作--待定
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def update_node_status(self, node_name, new_status):
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"""修改节点状态"""
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node = self.find_node_by_name(node_name)
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if node:
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node.status = new_status
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return True
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return False
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def update_node_vul_type(self,node_name,vul_type):
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"""修改节点漏洞类型"""
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node = self.find_node_by_name(node_name)
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if node:
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node.vul_type = vul_type
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return True
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return False
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def print_tree(self, node=None, level=0):
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"""可视化打印树结构"""
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if node is None:
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node = self.root
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prefix = " " * level + "|-- " if level > 0 else ""
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print(f"{prefix}{node.name} [{node.status}, {node.vul_type}]")
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for child in node.children:
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self.print_tree(child, level + 1)
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class TreeNode:
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def __init__(self, name, status="未完成", vul_type="未发现"):
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self.name = name # 节点名称
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self.status = status # 节点状态
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self.vul_type = vul_type # 漏洞类型
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self.children = [] # 子节点列表
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self.parent = None # 父节点引用
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self.path = "" #当前节点的路径
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self.instr_queue = queue.Queue() #针对当前节点的执行指令----重要约束:一个节点只能有一个线程在执行指令
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self.res_quere = queue.Queue() #指令执行的结果,一批一批
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self.llm_sn = 0 #针对该节点llm提交次数
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self.do_sn = 0 #针对该节点instr执行次数
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self.messages = [] #针对当前节点积累的messages -- 针对不同节点提交不同的messages
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def add_child(self, child_node):
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child_node.parent = self
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child_node.path = self.path + f"->{child_node.name}" #子节点的路径赋值
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child_node.messages = self.messages #传递messages #给什么时候的messages待验证#?
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self.children.append(child_node)
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def add_instr(self,instr):
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self.instr_queue.put(instr)
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def get_instr(self):
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if self.instr_queue.empty():
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return None
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return self.instr_queue.get()
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def add_res(self,str_res): #结构化结果字串
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self.res_quere.put(str_res)
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def get_res(self):
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if self.res_quere.empty():
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return None
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return self.res_quere.get()
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def __repr__(self):
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return f"TreeNode({self.name}, {self.status}, {self.vul_type})"
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if __name__ == "__main__":
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pass
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