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Autumn.home
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@ -168,14 +168,60 @@ async def save_deduplication_config(request_data: dict, _: dict = Depends(verify
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async def do_asset_deduplication():
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async for db in get_mongo_db():
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result = await db.config.find_one({"name": "deduplication"})
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print(result)
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result.pop("_id")
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result.pop("name")
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result.pop("hour")
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result.pop("flag")
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f_g_k = {
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"DirScanResult": {
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"filters": [],
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"groups": ["url", "status", "msg"]
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},
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"PageMonitoring": {
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"filters": [],
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"groups": ["url"]
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},
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"SensitiveResult": {
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"filters": [],
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"groups": ["url"]
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},#############
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"SubdoaminTakerResult": {
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"filters": [],
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"groups": ["input", "value"]
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},
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"UrlScan": {
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"filters": [],
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"groups": ["output"]
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},
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"asset": {
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"filters": [],
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"groups": [""]
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},################
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"crawler": {
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"filters": [],
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"groups": ["url", "body"]
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},
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"subdomain": {
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"filters": [],
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"groups": ["host", "type", "ip"]
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},
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"vulnerability": {
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"filters": [],
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"groups": ["url", "vulnid", "matched"]
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}
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}
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for r in result:
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if result[r]:
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await asset_data_dedup(db, r, )
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async def asset_data_dedup(db, filters, groups):
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async def asset_data_dedup(db, collection_name, filters, groups):
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# db[].update_many({}, {'$set': {'process_flag': timestamp}})
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# 去重http资产
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logger.info(f"{collection_name} 开始去重")
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collection = db[collection_name]
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timestamp = datetime.datetime.now()
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db['asset'].update_many({}, {'$set': {'process_flag': timestamp}})
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collection.update_many({}, {'$set': {'process_flag': timestamp}})
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filter = {
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"process_flag": timestamp
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}
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@ -183,7 +229,7 @@ async def asset_data_dedup(db, filters, groups):
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filter[f] = filters[f]
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group = {}
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for g in groups:
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group[g] = "$" + groups[g]
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group[g.replace(".")] = "$" + g
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pipeline = [
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{
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@ -203,5 +249,12 @@ async def asset_data_dedup(db, filters, groups):
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}
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]
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latest_ids = []
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for doc in db['asset'].aggregate(pipeline):
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latest_ids.append(doc['latestId'])
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for doc in collection.aggregate(pipeline):
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latest_ids.append(doc['latestId'])
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collection.update_many({'_id': {'$in': latest_ids}}, {'$set': {'latest': True}})
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collection.delete_many({'process_flag': timestamp, 'latest': {'$ne': True}})
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collection.update_many({'process_flag': timestamp}, {'$unset': {'process_flag': "", 'latest': ""}})
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timestamp2 = datetime.datetime.now()
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time_difference = timestamp2 - timestamp
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time_difference_in_seconds = time_difference.total_seconds()
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logger.info(f"{collection_name} 去重消耗时间: {time_difference_in_seconds}")
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@ -137,8 +137,10 @@ async def delete_sensitive_rules(request_data: dict, db=Depends(get_mongo_db), _
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rule_ids = request_data.get("ids", [])
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# Convert the provided rule_ids to ObjectId
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obj_ids = [ObjectId(rule_id) for rule_id in rule_ids]
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obj_ids = []
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for rule_id in rule_ids:
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if rule_id != None and rule_id != "":
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obj_ids.append(ObjectId(rule_id))
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# Delete the SensitiveRule documents based on the provided IDs
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result = await db.SensitiveRule.delete_many({"_id": {"$in": obj_ids}})
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@ -175,6 +177,14 @@ async def get_sensitive_result_rules(request_data: dict, db=Depends(get_mongo_db
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if query == "" or query is None:
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return {"message": "Search condition parsing error", "code": 500}
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query = query[0]
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filter = request_data.get("filter", {})
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if filter:
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query["$and"] = []
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for f in filter:
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tmp_or = []
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for v in filter[f]:
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tmp_or.append({f: v})
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query["$and"].append({"$or": tmp_or})
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total_count = await db['SensitiveResult'].count_documents(query)
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cursor: AsyncIOMotorCursor = ((db['SensitiveResult'].find(query, {"_id": 0,
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"id": {"$toString": "$_id"},
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@ -212,6 +222,85 @@ async def get_sensitive_result_rules(request_data: dict, db=Depends(get_mongo_db
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return {"message": "error","code":500}
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@router.post("/sensitive/result/data2")
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async def get_sensitive_result_rules(request_data: dict, db=Depends(get_mongo_db), _: dict = Depends(verify_token)):
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try:
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search_query = request_data.get("search", "")
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page_index = request_data.get("pageIndex", 1)
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page_size = request_data.get("pageSize", 10)
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keyword = {
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'url': 'url',
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'sname': 'sid',
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"body": "body",
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"info": "match",
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'project': 'project',
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'md5': 'md5'
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}
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query = await search_to_mongodb(search_query, keyword)
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if query == "" or query is None:
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return {"message": "Search condition parsing error", "code": 500}
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query = query[0]
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total_count = await db['SensitiveResult'].count_documents(query)
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pipeline = [
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{
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"$match": query # 增加搜索条件
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},
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{
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"$project": {
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"_id": 1,
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"url": 1,
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"time": 1,
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"sid": 1,
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"match": 1,
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"color": 1
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}
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},
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{
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"$sort": {"_id": DESCENDING} # 按时间降序排序
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},
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{
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"$group": {
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"_id": "$url",
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"time": {"$first": "$time"}, # 记录相同url下最早插入数据的时间
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"url": {"$first": "$url"},
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"body_id": {"$last": {"$toString": "$_id"}}, # 记录相同url下最早插入数据的_id
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"children": {
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"$push": {
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"id": {"$toString": "$_id"},
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"name": "$sid",
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"color": "$color",
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"match": "$match",
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"time": "$time"
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}
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}
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}
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},
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{
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"$sort": {"time": DESCENDING} # 按每组的最新时间降序排序
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},
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{
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"$skip": (page_index - 1) * page_size # 跳过前面的URL，用于分页
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},
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{
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"$limit": page_size # 获取当前页的URL
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}
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]
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# 执行聚合查询
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result = await db['SensitiveResult'].aggregate(pipeline).to_list(None)
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return {
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"code": 200,
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"data": {
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'list': result,
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'total': total_count
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}
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}
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except Exception as e:
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logger.error(str(e))
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# Handle exceptions as needed
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return {"message": "error","code":500}
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@router.post("/sensitive/result/body")
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async def get_sensitive_result_body_rules(request_data: dict, db=Depends(get_mongo_db), _: dict = Depends(verify_token)):
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try:
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