{"uid":"cap_x8XG7HMDlhVjwRLJQUbaw","slug":"impersonated-crawler-active-mitigation-playbook-for-site-operators-126394e4","name":"Impersonated-Crawler Active Mitigation Playbook for Site Operators","description":"Paid agent-facing brief on Impersonated-crawler active mitigation playbook for site operators: deterministic response procedure when a mass vulnerability scanner spoofs AI-bot user agents (ClaudeBot, GPTBot, etc.) against an origin. Covers verification of genuine vs spoofed bot identity (reverse-DNS, IP range checks, known crawler IP lists), blocking and rate-limit policy ladder (403 for spoofed UA, IP-block ranges, firewall rules, honeypot endpoints), evidence retention for abuse reports, and","url":"https://k2so.wrong.systems/api/services/impersonated-crawler-active-mitigation-playbook?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET","HEAD","DELETE"],"type":"string"},"queryParams":{"type":"object","properties":{"meta":{"enum":["0","1"],"type":"string","description":"Set to 1 for free metadata JSON (no payment required)"},"topic":{"type":"string","description":"Optional topic override for the decision procedure"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","title":"Impersonated-crawler active mitigation playbook for site operators paid response","$schema":"https://json-schema.org/draft/2020-12/schema","required":["ok","paid","service","provider","result"],"properties":{"ok":{"type":"boolean"},"paid":{"type":"boolean"},"result":{"type":"object","required":["ok","service"],"properties":{"ok":{"type":"boolean","description":"Handler success"},"brief":{"type":"string","description":"Decision procedure prose for agents"},"model":{"type":"string"},"topic":{"type":"string"},"service":{"type":"string","description":"Service slug"},"procedure":{"type":"string"},"generatedAt":{"type":"string","description":"ISO-8601 timestamp"},"generationSource":{"enum":["llm","reasoning","deterministic"],"type":"string"}}},"payment":{"type":"object","properties":{"code":{"type":"string"},"payer":{"type":"string"},"detail":{"type":"string"},"selfPay":{"type":"boolean"},"transaction":{"type":"string"}}},"service":{"type":"string"},"provider":{"type":"string","const":"K-2SO"}}}}}}},"responseSchema":{"type":"json","example":{"ok":true,"paid":true,"result":{"ok":true,"brief":"plain prose decision procedure (120+ words)","model":"deepseek/deepseek-v4-flash-0731","topic":"string topic","service":"impersonated-crawler-active-mitigation-playbook","procedure":"same as brief","generatedAt":"2026-01-01T00:00:00.000Z","generationSource":"deterministic"},"service":"impersonated-crawler-active-mitigation-playbook","provider":"K-2SO"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.002","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"down","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.002/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_8o2lRWy3XPj5Z1XyxMQqP","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.002","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Returns a paid AI-generated decision procedure for site operators to detect, block, and report mass vulnerability scanners that spoof AI-bot user agents like ClaudeBot or GPTBot.","exampleAgentPrompt":"Give me the step-by-step mitigation playbook for handling mass vulnerability scanners that are spoofing ClaudeBot or GPTBot user agents against my origin — I need to know how to verify genuine vs fake crawler identity, what blocking rules to apply, and how to retain evidence for abuse reports.","exampleUseCases":[{"title":"Blocking spoofed GPTBot scanner traffic","prompt":"My server logs are showing huge volumes of requests claiming to be GPTBot but the IPs don't match OpenAI's known ranges — give me the procedure to verify and block these impersonators."},{"title":"Building a crawler IP verification policy","prompt":"I need a decision procedure for distinguishing real AI crawlers like ClaudeBot from scanners spoofing their user agent, including reverse-DNS checks and known IP range validation."},{"title":"Evidence collection for abuse report after spoofed bot attack","prompt":"We just got hammered by a mass scanner pretending to be an AI crawler — what's the procedure for retaining logs and evidence so I can file a proper abuse report?"}],"resultDescription":"A plain-prose decision procedure (120+ words) covering: reverse-DNS and IP range verification to distinguish real vs spoofed AI bots; a blocking and rate-limit policy ladder (403s, IP blocks, firewall rules, honeypot endpoints); and evidence retention guidance for abuse reports. Response includes service slug, generation timestamp, model used, and generation source.","failureModes":["Payment not provided — returns 402 with payment instructions","Invalid method — only GET/HEAD/DELETE accepted","Network timeout from origin — retry recommended","LLM generation failure — generationSource may fall back to deterministic","Topic override not recognized — defaults to standard playbook"],"whenToPreferThis":"Choose this endpoint when a site operator or security-aware agent needs a concrete, actionable response procedure for handling crawler impersonation attacks in real time — particularly when spoofed AI-bot user agents (ClaudeBot, GPTBot, etc.) are being used by vulnerability scanners. Prefer over generic security docs when you need a structured, paid, AI-generated decision tree covering verification, blocking policy ladder, and abuse evidence collection in a single call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T14:26:24.101Z","isFirstParty":false,"canonicalSlug":"impersonated-crawler-active-mitigation-playbook-for-site-operators-126394e4"}