以加州大学圣塔芭芭拉分校(UCSB)为例,其Shibboleth登录页可通过以下命令抓取:evilginx clone -u https://shibboleth.ucsb.edu/idp/profile...生成的钓鱼页面URL形如:https://login.ucsb-edu[.]xyz/Shibboleth.sso/Login该域名通过DGA(Domain Generation Algorithm)或批量注册生成...关键代码逻辑(简化自Evilginx源码)如下:func (p *Proxy) handleRequest(w http.ResponseWriter, r *http.Request) {// 转发用户请求至真实服务器...3 高校IT环境的攻击面分析3.1 分布式身份架构的脆弱性多数美国高校采用联邦式身份管理,各院系可独立部署SSO集成(如Shibboleth、CAS、OAuth)。...;}5.4 实验验证搭建测试环境:Ubuntu 22.04 + Evilginx 3.0 + Shibboleth IdP + Sysmon for Linux。
tracker/1.0.34/index.js,tracker-plugin-jserror/1.0.13/index.js,tracker-plugin-api/1.1.11/index.js,tracker-plugin-perf.../1.1.6/index.js,tracker-plugin-longtask/1.0.1/index.js,tracker-plugin-pv/2.4.4/index.js,tracker-plugin-event...tracker/1.0.34/index.js,tracker-plugin-jserror/1.0.13/index.js,tracker-plugin-api/1.1.11/index.js,tracker-plugin-perf...tracker/1.0.34/index.js,tracker-plugin-jserror/1.0.13/index.js,tracker-plugin-api/1.1.11/index.js,tracker-plugin-perf...tracker/1.0.34/index.js,tracker-plugin-jserror/1.0.13/index.js,tracker-plugin-api/1.1.11/index.js,tracker-plugin-perf
p=2 tensorflow+yolo安全帽识别优化版 首先是正常的登录注册 def my_login(request): if request.method == "GET":...return render(request, 'auth/auth.html') else: form = LoginForm(request.POST) if...() tracker.update(detections, frame_id) if len(tracker.lossed) > 0:...pass for id, track in enumerate(tracker.tracks): if not track.is_confirmed...[1:]): pre_x, pre_v = track.tracker_path[i] cv2.line(image, (
("Cannot retry request " + "with a non-repeatable request entity.");..., request); response = requestExecutor.execute(request, managedConn, context);...= new RouteTracker(route); int step; do { final HttpRoute fact = tracker.toRoute...timeout : 0, context); tracker.connectTarget(route.isSecure());..., context); this.log.debug("Tunnel to target created."); tracker.tunnelTarget
Tracker Tracker GET 请求 首先需要知道,Tracker 请求基于 HTTP 请求,通常使用 GET 方法,一个 Tracker GET 请求应该包含以下信息: info_hash(哈希...一次 Tracker 请求的实质就是一个 HTTP GET 请求,以元数据文件部分示例的种子为例,在局域网内部署 tracker 服务器(过程略)进行请求示例。...长度为 0)的数据均以单个字节开头,开头字节介绍: 标识 说明 0 choke 1 unchoke 2 interested 3 not interested 4 have 5 bitfield 6 request...请求(request)和提供(piece):一个节点可以通过 request 向其他节点请求,或者通过 piece 来为其他节点提供数据,请求包括整数的分片索引、起始数据偏移量和分片大小,也可以视为请求数据的大小...取消(cancel):cancel 与 request 消息的负载相同,下载器为高效下载,可同时向多个节点请求同一个分片,当获取到一个分片并校验后,通过 cancel 告知其他节点停止发送。
document.getElementById('canvas'); var context = canvas.getContext('2d'); var tracker...= new tracking.ObjectTracker('face'); // 引入第三方 库 tracker.setInitialScale(1);...tracker.setStepSize(2); tracker.setEdgesDensity(0.1); this.trackerTask = tracking.track...(tracker,video,context,canvas); //open 摄像头,执行tracker_fun( 传入参数 ) }, tracker_fun(tracker,...rect.width, rect.height); var data_url = canvas.toDataURL('image/png'); //base64 request
/1.1" 200 OK 使用 Pydantic Model 定义 Cookie class Cookies(BaseModel): session_id: str fatebook_tracker...: str | None = None googall_tracker: str | None = None class Config: title = 'test cookie...\ 'http://127.0.0.1:18081/items/' \ -H 'accept: application/json' \ -H 'Cookie: googall_tracker...=123; session_id=test; fatebook_tracker=HelloWorld;' """ return cookies 注意:生成的 Swagger 文档进行测试时无法正常执行...@app.get("/debug") async def debug_request(request: Request): log_data = { "method": request.method
= PlanetTracker() tracker.lat = "51.4769" tracker.lon = "-0.0005" print(tracker.calc_planet("mars"))...() @routes.get("/planets/{name}") async def get_planet_ephmeris(request): planet_name = request.match_info...= PlanetTracker() tracker.lon = geo_location_data["lon"] tracker.lat = geo_location_data["lat..."] tracker.elevation = geo_location_data["elevation"] planet_data = tracker.calc_planet(planet_name...return new Promise((resolve, reject) => { request.send() request.onreadystatechange
recv.meta.request) { std::lock_guard lk(tracker_mu_); tracker_[recv.meta.timestamp..., std::vector> tracker_ :request & response 的同步变量。...tracker_是Customer内用来记录request和response的状态的map。...记录了每个 request(使用request id)可能发送了多少节点 以及 从多少个节点返回的 response的次数, tracker_下标为每个request 的timestamp,即Request...recv.meta.request) { std::lock_guard lk(tracker_mu_); tracker_[recv.meta.timestamp
response, RpcContext* rpc_context) const Status& fragment_info_sidecar_status = GetSidecar(request...fragment_info); Status resp_status = ExecEnv::GetInstance()->query_exec_mgr()->StartQuery(request..., query_ctx, fragment_info); QueryState* qs = GetOrCreateQueryState(query_ctx, request-...>per_backend_mem_limit(), &dummy); Status status = qs->Init(request, fragment_info..._ = obj_pool()->Add(new MemTracker(runtime_profile(), -1, runtime_profile()->name(), query_mem_tracker
connect_timeout=30 # 网络超时(默认值为30s) network_timeout=60 # 存储日志文件的基本路径 base_path=/home/fastdfs # 上传文件的地址 tracker_server...use_connection_pool = false # 最大空闲连接时间(默认为3600) connection_pool_max_idle_time = 3600 # 如果FastDFS的参数来自于tracker...server(默认为false) load_fdfs_parameters_from_tracker=false # 如果使用存储ID而不是IP地址(默认为false) use_storage_id...= false # 指定存储的文件名 # 当load_fdfs_parameters_from_tracker 为false时使用; storage_ids_filename = storage_ids.conf...:192.168.200.128:22122) Properties pro = new Properties(); pro.setProperty("fastdfs.tracker_servers
string, handlerFunc func(ctx *Context)) {s.Mux.HandleFunc(pattern, func(w http.ResponseWriter, r *http.Request...string, handlerFunc func(ctx *Context)) {s.Mux.HandleFunc(pattern, func(w http.ResponseWriter, r *http.Request...但是这样做会有一个问题,无法保证创建的goroutine生命周期管理,我们不知道这个Tracker的执行情况。...Tracker优化我们以包内部的Tracker为例。首先定义Track的接口和数据结构。Track需要实现三个方法,Event输入需要打印的日志。Run开始服务启动时,开始打印日志。...pattern string, handler handlerFunc) {s.Mux.HandleFunc(pattern, func(w http.ResponseWriter, r *http.Request
, domain): user_id = tracker.sender_id user_shopping_history = get_user_shopping_history..."my_custom_channel" def blueprint(self, on_new_message): from flask import Blueprint, request...@custom_webhook.route("/webhook", methods=['POST']) def receive(): payload = request.json..., domain): # 提取用户账户问题的细节 issue = tracker.get_slot('account_issue') solution =..., domain): symptoms = tracker.get_slot('symptoms') advice = get_health_advice(symptoms
ingestionRateLimiter *limiter.RateLimiter // Manager for subservices (HA Tracker, distributor ring...= nil { // Ensure the request slice is reused if the series get deduped....d.ingestionRateLimiter.AllowN(now, userID, totalN) { // Ensure the request slice is reused if...the request is rate limited....go func() { wg.Wait() cleanup() }() select { case err := tracker.err:
handle_request!...handle_request!(raw_get, future_raw_get, RawGetRequest, RawGetResponse); handle_request!...RequestType::Unknown, 0, ))); set_tls_tracker_token($tracker)...(tracker, |tracker| { tracker.write_scan_detail(resp.mut_exec_details_v2().mut_scan_detail_v2...cmd, "tracker" => ?
/usr/bin/env python # -*- coding: UTF-8 -*- from flask import Flask,render_template,request,send_file...) # (1) 上传,通用下载,适用于图片等公开的文件 @app.route('/upload',methods=['GET','POST']) def upload(): # print(request.files...['_file']) saved_file_name = request.files['_file'].filename client = Fdfs_client(get_tracker_conf...('client.conf')) #二进制存储 ret = client.upload_by_buffer(request.files['_file'].read(),getFileExt...subdir_count_per_path = 256 # tracker_server 的列表 ,会主动连接 tracker_server,有多个 tracker server 时,每个 tracker
主函数run.py通过主函数中DM(run.py)来完成agent和user之间的对话,state_tracker记录并结合KB结果给agent作为其infrom。...agent、user、act_set、slot_set、state_tracker、user_action、reward、episode_over。...state_trackerstate_tracker.py中的state_tracker类包含:Current_slots:Agent_request_slots: agent必须要知道value的slots...本文主要介绍模拟器,state_tracker这块感兴趣可以自行细读。...',(因为其代表本次request值)如果在request_slot中,state'diaact'='request', 并将slot填入到state'request_slot'。
几个重要的概念:tracker、storage、client client就是调用方,tracker负责元数据,要上传文件、下载文件先从tracker获取相应的storage,然后client和storage...cp client.conf.sample client.conf cp storage.conf.sample storage.conf cp tracker.conf.sample tracker.conf...php //上传文件 function uploadFile(){ $fdfs = new FastDFS(); $tracker = $fdfs->tracker_get_connection...(); $storager = $fdfs->tracker_query_storage_store('group1', $tracker); $localFileName...return null; } 三、使用踩坑 刚上线时有时候一些文件写入时大小为0,看了代码目前是长连接的实现方式,在MSHUT_DONW中才关闭连接,实际生产环境php-fpm的max_request
安装 fastdfs 必要组件 tracker 什么都不用改 docker run -d --network=host --name tracker -v /var/fdfs/tracker:/var/...fdfs delron/fastdfs tracker 安装 fastdfs 存储地址 storage 除了 ip 其他的都不用改 docker run -d --network=host --name...storage -e TRACKER_SERVER=你服务器自己的ip:22122 -v /var/fdfs/storage:/var/fdfs -e GROUP_NAME=group1 delron...tracker_server = 你自己的 ip:22122 到这其实 fastDFS 就配好了 5.创建项目测试 命令行测试 /usr/bin/fdfs_upload_file /etc/fdfs...需要修改 ip spring: servlet: multipart: max-file-size: 100MB # 最大支持文件大小 max-request-size