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Monday, 16 February 2026
企业机器人检测应该要求有基础设施博士 ”%(“或每月开支数千人使用两行代码=!).$0外部服务,}",和您在每端点每次请求时以毫秒的速度运行@( @)QQZ21"探测器
“👉”请看Live :StyloBot.net。 @- 运行在网关上运行的实实在在的生产系统#-exit 检测内线@.
爱因斯坦说, " 一切都应该尽可能简单 但不要更简单的"MS K3" 那'是StyloBot@'#s融合模式的设计原则
涵盖的“1”和“MS K1”部分 为什么 (b) 检测和 探测管道如何运作这篇文章包括: 你真正需要的代码有多小 - 以及同一系统如何从单一的 @-file application 到一个完整的生产网关, 包括时标 DBQ, Qdrant 矢量搜索@, 和 CPUMS K4LLM 分类=.
关键洞察力 : 每一级使用相同的探测管.你'没有切换框架,因为您正在成长 @. 你'在同一个核心周围添加存储和浓缩@.
这是绝对最小的@ . @ no config file ,} 没有数据库设置 *% MS K2 无 API 键@ MPK3}无多克容器@ I.}
var builder = WebApplication.CreateBuilder(args);
builder.Services.AddBotDetection(); // ← that's line 1
var app = builder.Build();
app.UseBotDetection(); // ← that's line 2
app.Run();
刚刚发生了什么?
botdetection.db 文件 自动@ - @ 创建学习模式和重量@ MPK1}\ no setup .}所有这些运行都在 毫秒以下 根据商品硬件@. CPU only\ @,}没有 GPU=.
每一项请求现在都通过下列渠道获得检测结果: HttpContext 扩展@:
app.MapGet("/", (HttpContext ctx) => Results.Ok(new
{
isBot = ctx.IsBot(),
probability = ctx.GetBotProbability(), // 0.0-1.0: how likely it's a bot
confidence = ctx.GetDetectionConfidence(), // 0.0-1.0: how certain the system is
type = ctx.GetBotType()?.ToString(),
name = ctx.GetBotName()
}));
检测运行,但无任何区块.}你决定如何处理结果 *.
如果您只想从您的整个应用程序中阻塞机器人, @ - @ no per@ - endpoint config,}没有属性 % MS K3 it='} JSONQ:的一行
{
"BotDetection": {
"BlockDetectedBots": true
}
}
{\fn黑体\fs22\bord1\shad0\3aHBE\4aH00\fscx67\fscy66\2cHFFFFFF\3cH808080}信任度的阈值上方有403MinConfidenceToBlock 默认默认值 0.8).搜索引擎 @(Googlebot},Bingbot),社交媒體預覽@(Facebook_,Twitter/XMS K7和監控軟體 {(UptimeRopotMPK9Pingdom)被默认允許通過 @MSC11}因為您几乎肯定想要這些 MS K12
或代码“,”中同样的东西,不需要配置文件@ :
builder.Services.Configure<BotDetectionOptions>(o =>
{
o.BlockDetectedBots = true;
o.MinConfidenceToBlock = 0.8; // only block when confident
o.AllowVerifiedSearchEngines = true; // Googlebot, Bingbot through
o.AllowSocialMediaBots = true; // Facebook, Twitter previews through
o.AllowMonitoringBots = true; // UptimeRobot, Pingdom through
});
这是 @"#I do'}不愿考虑的“ "% 模式 @ MS K3 @ 探测运行@ , @ bots get clocked @ MPK5 @ 好爬行者通过+.} 当您需要时, 移动到 per- @ endpoint control
这里% ' @ complete a full MS K1} 工作API 使用 pen@ - @ endpoint bot protect_ . 这是全部 Program.cs:
var builder = WebApplication.CreateBuilder(args);
builder.Services.AddBotDetection();
var app = builder.Build();
app.UseBotDetection();
// Detection results available, no blocking
app.MapGet("/", (HttpContext ctx) => Results.Ok(new
{
isBot = ctx.IsBot(),
probability = ctx.GetBotProbability(),
confidence = ctx.GetDetectionConfidence(),
type = ctx.GetBotType()?.ToString(),
name = ctx.GetBotName()
}));
// Block all bots
app.MapGet("/api/data", () => Results.Ok(new { data = "sensitive" }))
.BlockBots();
// Allow search engines (Googlebot, Bingbot, Yandex)
app.MapGet("/products", () => Results.Ok(new { catalog = "public" }))
.BlockBots(allowSearchEngines: true);
// Allow search engines + social media previews (Facebook, Twitter/X)
app.MapGet("/blog/{slug}", (string slug) => Results.Ok(new { post = slug }))
.BlockBots(allowSearchEngines: true, allowSocialMediaBots: true);
// Health check: monitoring bots allowed (UptimeRobot, Pingdom)
app.MapGet("/health", () => Results.Ok("healthy"))
.BlockBots(allowMonitoringBots: true);
// Humans only - blocks ALL bots including verified crawlers
app.MapPost("/api/submit", () => Results.Ok(new { submitted = true }))
.RequireHuman();
// High-confidence blocking only (reduces false positives)
app.MapGet("/api/lenient", () => Results.Ok("data"))
.BlockBots(minConfidence: 0.9);
// Geo + network blocking (needs GeoDetection contributor)
app.MapPost("/api/payment", () => Results.Ok("ok"))
.BlockBots(blockCountries: "CN,RU", blockVpn: true, blockDatacenter: true);
// Honeypot: deliberately allow scrapers in
app.MapGet("/honeypot", () => Results.Ok("welcome"))
.BlockBots(allowScrapers: true, allowMaliciousBots: true);
// Dev diagnostics
app.MapBotDetectionEndpoints();
app.Run();
每个 .BlockBots() 呼叫区块 全部 您选择了特定类型 内 和与 Allow* 选项是否定@-_by}-}默认=,}白列表中的好词 @.}
| “ | ”参数“ | ” 它允许什么 | "为什么你使用它“ | ” |
|---|---|---|---|---|
allowSearchEngines |
Googlebot, BingbotMS K2 Yandex | SEO MSSK4 您想要加入索引 * | ||
allowSocialMediaBots @ |
链接预览@,开放图表卡# | |||
allowMonitoringBots 健康检查:, 实时监控: @ |
# | |||
allowAiBots 校对:Portnoy |
||||
allowGoodBots |
#Benign自动化 @ | |||
allowVerifiedBots |
+DNS-+核查的爬行器 @ | +信任的自动化@ | # | |
allowScrapers -=YTET -伊甸园字幕组=- 翻译: |
||||
allowMaliciousBots 众所周知的坏角色 蜜糖罐 安全研究 |
||||
minConfidence |
( -thresworld -) @ | 只有当系统高度确定时才会有阻塞 #% | # |
相同的探测管道, 通过属性保护\□.
var builder = WebApplication.CreateBuilder(args);
builder.Services.AddBotDetection();
builder.Services.AddControllersWithViews();
var app = builder.Build();
app.UseBotDetection();
app.MapControllers();
app.Run();
[ApiController]
[Route("[controller]")]
public class ProductsController : ControllerBase
{
// No protection - detection runs but nothing blocks
[HttpGet]
public IActionResult List() => Ok(new { products = "all" });
// Block all bots, allow search engines
[HttpGet("catalog")]
[BlockBots(AllowSearchEngines = true)]
public IActionResult Catalog() => Ok(new { catalog = "indexed" });
// Block all bots, allow search engines + social previews
[HttpGet("{id:int}")]
[BlockBots(AllowSearchEngines = true, AllowSocialMediaBots = true)]
public IActionResult Detail(int id) => Ok(new { id });
}
// Entire controller: humans only
[ApiController]
[Route("[controller]")]
[RequireHuman]
public class CheckoutController : ControllerBase
{
[HttpPost("cart")]
public IActionResult AddToCart() => Ok();
[HttpPost("pay")]
public IActionResult Pay() => Ok();
}
// Infrastructure endpoints
[ApiController]
[Route("[controller]")]
public class InfraController : ControllerBase
{
// Skip detection entirely
[HttpGet("health")]
[SkipBotDetection]
public IActionResult Health() => Ok("ok");
// Monitoring bots allowed
[HttpGet("status")]
[BlockBots(AllowMonitoringBots = true)]
public IActionResult Status() => Ok(new { uptime = "99.9%" });
}
这些关于MVC属性和最小API过滤器的工作 .}它们要求地球探测器提供信号数据
// Block countries
[BlockBots(BlockCountries = "CN,RU,KP")]
public IActionResult SensitiveApi() => Ok();
// Country whitelist - only these allowed
[BlockBots(AllowCountries = "US,GB,DE,FR")]
public IActionResult DomesticOnly() => Ok();
// Block VPNs + proxies (anti-fraud)
[BlockBots(BlockVpn = true, BlockProxy = true)]
public IActionResult Payment() => Ok();
// Block datacenter IPs + Tor
[BlockBots(BlockDatacenter = true, BlockTor = true)]
public IActionResult FormSubmission() => Ok();
// Combine: SEO-friendly + geo block + VPN block
[BlockBots(AllowSearchEngines = true, BlockCountries = "CN,RU", BlockVpn = true)]
public IActionResult ProtectedContent() => Ok();
二进制区块@ / @ allow 简单但有限 @ MS K1 @ 行动政策分开 你所觉察的, 从 您如何回应.在 config,中界定应对策略, 指定它们用于终点@.
{
"BotDetection": {
"BotThreshold": 0.7,
"ActionPolicies": {
"api-block": {
"Type": "Block",
"StatusCode": 403,
"Message": "Bot traffic is not allowed."
},
"api-throttle": {
"Type": "Throttle",
"BaseDelayMs": 500,
"MaxDelayMs": 5000,
"ScaleByRisk": true,
"JitterPercent": 0.3
},
"shadow-mode": {
"Type": "LogOnly",
"AddResponseHeaders": true,
"LogFullEvidence": true
}
}
}
}
// Bots get progressively slower responses (they don't know they're being throttled)
[BotPolicy("default", ActionPolicy = "api-throttle")]
public IActionResult Browse() => Ok();
// Hard block
[BotPolicy("default", ActionPolicy = "api-block")]
public IActionResult Confirm() => Ok();
// Shadow mode: log everything, block nothing (deploy first, tune later)
[BotPolicy("default", ActionPolicy = "shadow-mode")]
public IActionResult PublicApi() => Ok();
五种政策类型 @: Block (HTTP403), Throttle @(_stealth 延迟@), Challenge “(CAPTCHA” /}校对“-」 (MSKOF) MS K3Working=), Redirect {\fn黑体\fs22\bord1\shad0\3aHBE\4aH00\fscx67\fscy66\2cHFFFFFF\3cH808080}(Hhoneypot陷阱 ), LogOnly (shadow 模式@).}请看 行动政策、政策和方针 用于完整引用@. @%
阴影模式是推荐的起点 @. 部署检测@, 观看结果 @MS K2 曲调阈值 @, 时当时 开始屏蔽@. @%
之后的每个请求 UseBotDetection() 是否有这些扩展名可在 HttpContext:
// Am I talking to a bot?
context.IsBot() // true if probability >= threshold
context.IsHuman() // inverse
context.IsSearchEngineBot() // Googlebot, Bingbot, etc.
context.IsVerifiedBot() // DNS-verified bots
context.IsMaliciousBot() // known bad actors
// How bad is it?
context.GetBotProbability() // 0.0-1.0: likelihood of being a bot
context.GetDetectionConfidence() // 0.0-1.0: how certain the system is
context.GetRiskBand() // Low, Elevated, Medium, High
context.GetRecommendedAction() // Allow, Challenge, Throttle, Block
// What is it?
context.GetBotType() // BotType enum
context.GetBotName() // "Googlebot", "Scrapy", etc.
// Full breakdown
var result = context.GetBotDetectionResult();
这里有两个独立的得分问题 @: @% 机器人概率 (这个机器人多有可能是BotZ?)" 检测检测信任度 95% 肯定系统是否确定 你可以成为MSK 2 人类人文(人文) “(”低概率“,”高置信度“MS K2”或者你可以看到可疑的请求,但信心较低,因为只有一个探测器正在运行“MSC3”
您可以根据最小 API 和 MVC . 的具体信号值来过滤端点 。
// Block VPN traffic
app.MapPost("/api/payment", () => Results.Ok())
.BlockIfSignal(SignalKeys.GeoIsVpn, SignalOperator.Equals, "True");
// Block datacenter IPs
app.MapPost("/api/submit", () => Results.Ok())
.BlockIfSignal(SignalKeys.IpIsDatacenter, SignalOperator.Equals, "True");
// Only allow US traffic
app.MapGet("/api/domestic", () => Results.Ok())
.RequireSignal(SignalKeys.GeoCountryCode, SignalOperator.Equals, "US");
// Block high-confidence bots by heuristic score
app.MapGet("/api/premium", () => Results.Ok())
.BlockIfSignal(SignalKeys.HeuristicConfidence, SignalOperator.GreaterThan, "0.9");
[BlockIfSignal(SignalKeys.GeoIsVpn, SignalOperator.Equals, "True")]
public IActionResult Payment() => Ok();
[RequireSignal(SignalKeys.GeoCountryCode, SignalOperator.Equals, "US")]
public IActionResult DomesticOnly() => Ok();
app.MapGet("/debug", (HttpContext ctx) =>
{
var country = ctx.GetSignal<string>(SignalKeys.GeoCountryCode);
var isVpn = ctx.GetSignal<bool>(SignalKeys.GeoIsVpn);
var isDc = ctx.IsDatacenter();
var heuristic = ctx.GetSignal<double>(SignalKeys.HeuristicConfidence);
return Results.Ok(new { country, isVpn, isDc, heuristic });
});
完整信号引用@: @% 和自定义过滤器.
# Normal browser request → low bot score
curl -H "Accept: text/html" -H "Accept-Language: en-US" \
-A "Mozilla/5.0 (Windows NT 10.0; Win64; x64) Chrome/120.0.0.0" \
http://localhost:5090/
# Googlebot → allowed where AllowSearchEngines=true
curl -A "Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)" \
http://localhost:5090/products
# Scraper → blocked by .BlockBots()
curl -A "Scrapy/2.7" http://localhost:5090/api/data
# Full detection breakdown → shows all signals and per-detector contributions
curl http://localhost:5090/bot-detection/check
# Simulate bot types via test mode header
curl -H "ml-bot-test-mode: malicious" http://localhost:5090/bot-detection/check
curl -H "ml-bot-test-mode: scraper" http://localhost:5090/api/data
缩略 /bot-detection/check 端点是您的开发朋友 @ . 它返回来自每个探测器的每一个信号@ MS K1计时数据\ , 和 per-}{检测器贡献, 这样您就能看到到底发生了什么?
这是最重要的设计原则 : 每一级使用相同的探测管@. @You@'_re 从来没有重写保护代码#.}你正在围绕同一核心增加基础设施 #.#
Your App + AddBotDetection()
└── SQLite (auto-created botdetection.db)
└── In-process [HNSW](https://en.wikipedia.org/wiki/Hierarchical_navigable_small_world_graphs) similarity search
└── 21 detectors, <1ms per request
└── No external services
“21”所有探测器都运行在波- 根基管道中“.+Fast}-Qpath探测器 @(用户Agent{,}标题@,}IP,BehaviroralMS K8}TLS指纹*0.Heuristic评分提取件“MSKO11”功能,并运行一个轻量级评分模型=.学习模式。
给:带来好处 @<100 @K要求@/_day#,}正在启动 @MS K4
添加地理路由加上地理数据源@: @%
builder.Services.AddBotDetection();
builder.Services.AddGeoRoutingWithDataHub(); // free local GeoIP DB (no account)
builder.Services.AddGeoDetectionContributor(options =>
{
options.FlagVpnIps = true;
options.FlagHostingIps = true;
});
如果 IP 地理位置是新建@: @% GeoIP 背景 和 DataHub GeoIP数据集 数据HubCsv 首先下载免费的 ~27MB IP 数据库并保持其每周更新@.}所有搜索都是本地的 {-} no per}-请求 HTTP calls.} 对于城市 < MS K6> 级别精密=,}使用 MaxMind GeoLite @2.
现在,您可以从中国的数据中心 = 疑似).获得“(Googlebot”的地理信号。 BlockCountries, BlockVpn, BlockDatacenter, BlockTor 激活参数@. @%
将 SQLite 替换为 PostgreSQL , 用于多 @ -%server 共享学习并添加 时间尺度 (a PostgreSQL 延长时间@-}系列数据=) 用于分析 *:}
builder.Services.AddBotDetection();
builder.Services.AddStyloBotDashboard();
builder.Services.AddStyloBotPostgreSQL(connectionString, options =>
{
options.EnableTimescaleDB = true;
options.RetentionDays = 90;
options.CompressionAfter = TimeSpan.FromDays(7);
});
# docker-compose.yml
services:
timescaledb:
image: timescale/timescaledb:latest-pg16
environment:
POSTGRES_DB: stylobot
POSTGRES_USER: stylobot
POSTGRES_PASSWORD: ${DB_PASSWORD}
volumes:
- timescale-data:/var/lib/postgresql/data
app:
build: .
environment:
ConnectionStrings__BotDetection: "Host=timescaledb;Database=stylobot;Username=stylobot;Password=${DB_PASSWORD}"
depends_on:
timescaledb:
condition: service_healthy
时间尺度 DB 为您提供超高可分配分区@,自动压缩 @(90-95%存储量的减少, 在 {7 days} ), 连续集成为 < posk4 millilecontrol choice>_,和保留政策=.
给:带来好处 >100QK 请求@/_day @,}多个服务器 @MS K3}需要分析仪表板=.}
Internet → Caddy (TLS) → Stylobot Gateway ([YARP](https://microsoft.github.io/reverse-proxy/)) → Your App
│
├── TimescaleDB (analytics, learning)
├── [Qdrant](https://qdrant.tech/documentation/) (vector similarity search)
└── LLamaSharp CPU [LLM](https://en.wikipedia.org/wiki/Large_language_model) (bot classification)
网关是独立的多克集装箱@( @%scottgal/stylobot-gateway) 以 HTTP headers @.}您的应用程序读取信头@- SDK 不需要任何语言. 如果"入门" ""不熟悉"反向代理 并添加安全逻辑@/ @traffic logic_."
services:
gateway:
image: scottgal/stylobot-gateway:latest
environment:
DEFAULT_UPSTREAM: "http://app:8080"
StyloBotDashboard__PostgreSQL__ConnectionString: "Host=timescaledb;..."
StyloBotDashboard__PostgreSQL__EnableTimescaleDB: true
BotDetection__Qdrant__Enabled: true
BotDetection__Qdrant__Endpoint: http://qdrant:6334
BotDetection__Qdrant__EnableEmbeddings: true
BotDetection__AiDetection__Provider: LlamaSharp
BotDetection__AiDetection__LlamaSharp__ModelPath: "Qwen/Qwen2.5-0.5B-Instruct-GGUF/qwen2.5-0.5b-instruct-q4_k_m.gguf"
app:
build: .
environment:
BOTDETECTION_TRUST_UPSTREAM: true
qdrant:
image: qdrant/qdrant:latest
timescaledb:
image: timescale/timescaledb:latest-pg16
caddy:
image: caddy:latest
您的应用程序信任网关@ ' @s headers+:
// ASP.NET Core
builder.Services.Configure<BotDetectionOptions>(o => o.TrustUpstreamDetection = true);
或直接阅读任何语言的标题@: @%
# Python/Flask
@app.route('/api/data')
def api_data():
if request.headers.get('X-Bot-Detected') == 'true':
return jsonify(error='blocked'), 403
return jsonify(data='sensitive')
// Node.js/Express
app.get('/api/data', (req, res) => {
if (req.headers['x-bot-detected'] === 'true') {
return res.status(403).json({ error: 'blocked' });
}
res.json({ data: 'sensitive' });
});
网关的标题发送@: @%
| 目的 @ | |||
|---|---|---|---|
X-Bot-Detected |
true 人类分类 |
||
X-Bot-Confidence |
0.91 探寻信心 |
||
X-Bot-Detection-Probability |
0.87 @ |
_Bot 概率@ | }% |
X-Bot-Type |
Scraper -=YTET -伊甸园字幕组=- 翻译: |
||
X-Bot-Name |
AhrefsBot @ |
@ 识别的机器人 @ MPK1 @ | |
X-Bot-Detection-RiskBand |
High 风险分类 |
| Q 元件 @ | Q 它能做什么? | |
|---|---|---|
| 时间尺度 | Time-系列分析,压缩仓储MS K3连续集聚},保留政策推荐生产{ | |
| 解冻 | 矢量相似性搜索 @- 找到机器人, 即使它们旋转用户@- Agents { | 选项} |
| 拉马沙尔普 | CPU- 仅用于 Bot 群組命名和分类合成的 LLM @ | 选项@ |
| 卡迪/Nginx | TLS 终止@, 静态文件 @ | 您现有的反向代理 *# |
| 网关 | 多@ MS K1app 或非 @ -.NET 后端的中央检测@ I | 多 @ -服务架构 { |
Starting out?
├── Single ASP.NET app → Tier 1 (two lines of code)
│ └── Need geo blocking? → Tier 2 (one more line)
│ └── Need analytics? → Tier 3 (add PostgreSQL)
└── Multiple apps or non-.NET? → Tier 4 (Gateway)
您的终点保护代码 @- [BlockBots] 属性,} .BlockBots() 过滤器@, @% context.IsBot() 检查“-”与 “.”保持完全相同
两个“-”的线性设置是起始点 “. ” 这里“MS K2” 为生产用途而建的其它建筑
在全球打开检测信头, 这样您就可以校验行为而不打击诊断端点@: @ @
{
"BotDetection": {
"ResponseHeaders": {
"Enabled": true,
"HeaderPrefix": "X-Bot-",
"IncludeConfidence": true,
"IncludeDetectors": true,
"IncludeProcessingTime": true,
"SkipPaths": ["/health"]
}
}
}
每一个答复都得到 X-Bot-Detected, X-Bot-Confidence, X-Bot-Processing-Ms,}等 @.}有用於在 Caddy/Nginx,}中做出邊緣路由決定,並且在 devMS K4 中除錯, 無法產生或限制為可信任的網絡@.
Don' @t关于不确定性的块块 @ -_ 挑战代替@ MS K2} StyloBot 有五座建築的-#in commendies kinds @ MPK4}
{
"BotDetection": {
"ActionPolicies": {
"challenge-on-uncertain": {
"Type": "Challenge",
"ChallengeType": "JavaScript"
},
"captcha-gate": {
"Type": "Challenge",
"ChallengeType": "Captcha",
"RedirectUrl": "/captcha"
},
"proof-of-work": {
"Type": "Challenge",
"ChallengeType": "ProofOfWork"
}
}
}
}
挑战类型 @: Redirect @(send to commend page),}#MSK1 发送到挑战页面 Inline -=YTET -伊甸园字幕组=- 翻译: JavaScript {\fn黑体\fs22\bord1\shad0\3aHBE\4aH00\fscx67\fscy66\2cHFFFFFF\3cH808080}"(#JS证明 Captcha, ProofOfWork (=%computication 挑战=%).}通过终端指定端点 [BotPolicy]:
[BotPolicy("default", ActionPolicy = "challenge-on-uncertain")]
public IActionResult Submit() => Ok();
全球允许并拒绝列出已知实施伙伴和 中心 区域@: @%
{
"BotDetection": {
"WhitelistedIps": ["203.0.113.10/32", "198.51.100.0/24"],
"BlacklistedIps": ["1.2.3.4", "5.6.7.0/24"]
}
}
白名单上的IP完全跳过检测@._Black上市的IP立即被封锁 @._BARBAR_支持 CIDR 批注.}
StyloBot通过 System.Diagnostics.Metrics, 与 开放遥测, 普罗米修斯, 格拉法纳“,和任何“.NET 量度消费者”.
builder.Services.AddOpenTelemetry()
.WithMetrics(metrics => metrics.AddMeter("Mostlylucid.BotDetection"));
现有指标:*
| @ | _Metric { | } 类型@ | } 它的量度是什麽? |
|---|---|---|---|
botdetection.requests.total 处理的申请总数 * |
* | ||
botdetection.bots.detected * |
Q 对应 | Q 请求被归类为bots { | }* |
botdetection.humans.detected 请求被归类为人类 |
|||
botdetection.errors.total 发现输油管错误 |
|||
botdetection.detection.duration -=YTET -伊甸园字幕组=- 翻译: |
|||
botdetection.confidence.average 移动平均置信度 |
|||
botdetection.cache.patterns.count @ |
Gauge | _Cached 模式计数@ |
这是您需要的 仪表板@, @ 提醒 @ , @ 和能力规划@ MS K2 检测潜伏直方图, 您可以设置 SLOS}._ Bot/{ 人类反射器来显示您的交通构成=.}
对整条路线组群应用机器人保护, 而不是重复 per- endpoint@ :\
// All /api routes: block bots, allow search engines
var api = app.MapGroup("/api").WithBotProtection(allowSearchEngines: true);
api.MapGet("/products", () => "data");
api.MapGet("/categories", () => "cats");
// Secured routes: humans only
var secure = app.MapGroup("/secure").WithHumanOnly();
secure.MapPost("/submit", () => "ok");
secure.MapPost("/checkout", () => "done");
// Individual endpoints can still override
api.MapGet("/special", () => "overridden")
.BlockBots(allowSearchEngines: true, allowSocialMediaBots: true);
WithBotProtection() 以 Geo @ /}网络%/}信任参数和 .BlockBots()@,BARBAR_但刻意在团体一级堵塞碎纸机和恶意机器人@(}no allowScrapers / allowMaliciousBots @). @% WithHumanOnly() 组等号为 .RequireHuman().
使用 .BotPolicy() 为最小 API 端点指定指定的行动政策 *\ -}同样的事情 [BotPolicy] 用于 MVC: 的
// Throttle bots on this endpoint
app.MapGet("/api/data", () => "sensitive")
.BotPolicy("default", actionPolicy: "api-throttle");
// Block with high-confidence threshold
app.MapPost("/api/submit", () => "ok")
.BotPolicy("strict", actionPolicy: "block", blockThreshold: 0.8);
通过电子邮件向系统报告虚假正反和负对数 POST /bot-detection/feedback:
# Mark a detection as a false positive (bot detected but was actually human)
curl -X POST http://localhost:5090/bot-detection/feedback \
-H "Content-Type: application/json" \
-d '{"outcome": "Human", "notes": "Known partner integration"}'
# Mark a missed bot (human detected but was actually a bot)
curl -X POST http://localhost:5090/bot-detection/feedback \
-H "Content-Type: application/json" \
-d '{"outcome": "Bot", "notes": "Automated scraper spotted in logs"}'
结尾点返回反馈相对于当前检测结果是否代表假正负@. @ 这是关闭Q-loop 学习的基礎 @.}
当使用 YARP 网关“ ,” 您的后端信任上游探测头@ MS K1 这是安全性@ I-# 敏感设置 @ -} 您必须确保只有网关才能设置这些头目 @ MPK4
*基本信任 @( @network@-}仅与外界隔绝 ):
{
"BotDetection": {
"TrustUpstreamDetection": true
}
}
HMAC- 署名信托@( 加密校验_):
{
"BotDetection": {
"TrustUpstreamDetection": true,
"UpstreamSignatureHeader": "X-Bot-Signature",
"UpstreamSignatureSecret": "base64-encoded-shared-secret"
}
}
何时 UpstreamSignatureHeader 和 UpstreamSignatureSecret 设置“,”的中间软件校验 HMAC- 沙 256 在信任上游信头前先签名@. @
目前使用此功能 自定义网关@/}代理整合 添加签名信头@.} Stylobot 网关已建成 *-in Styrobot 前方的bot-
必需的签名信头@: @%
X-Bot-Signature -=YTET -伊甸园字幕组=- 翻译:X-Bot-Detection-Timestamp @(Unix 时钟秒@, UTC)#签署合同
payload = X-Bot-Detected + ":" + X-Bot-Confidence + ":" + X-Bot-Detection-Timestampsignature = Base64(HMACSHA256(payload, base64Decoded(UpstreamSignatureSecret)))@ 5- @ minute replay window 外的签名被拒@ MS K1} 如果缺少此签名, 则该签名无效 @ , @ 无效% ,} 或过期@ I, 上游信头已被拒绝, 而全局性检测运行将取代 @ OMK5}
重要的: 只有当您的后端位于可信任的反向代理服务器后面时才启用信任@. @ 如果攻击者能够直接到达您后端,}他们可以出击 X-Bot-Detected: false 并绕过所有探测... ....在生产中...
X-Bot-* 在到达网关前的边缘代理头标题值得明确表达@: @%
/products 允许搜索引擎在 /api/checkout 这是端点语义=,}不是防火墙规则@.部分“1”覆盖了为什么机器人检测事件” “.”部分“2”涵盖探测管道内部的管线”,该文章涵盖了最低限度可行的整合以及从两行代码到完整生产网关“MS K5”的缩放路径“Z-”
开始:
dotnet add package Mostlylucid.BotDetectiondocker pull scottgal/stylobot-gateway© 2026 Scott Galloway — Unlicense — All content and source code on this site is free to use, copy, modify, and sell.