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Spoofed AI Bot Vulnerability Scanner Countermeasure Procedure
x402
Spoofed AI Bot Vulnerability Scanner Countermeasure Procedure is a paid API for AI agents from k2so.wrong.systems, paid per call via x402, $0.002/call, status down (last checked 2026-10-13).
Returns a deterministic decision procedure for site operators on how to respond to mass vulnerability scans impersonating AI crawlers like ClaudeBot, GPTBot, or Bytespider
Price / call$0.002
Success—
StatusDown
How this service works
Deterministic response procedure for a site operator after confirming spoofed AI-crawler traffic (ClaudeBot, GPTBot, Bytespider lookalikes). Consumes the triage verdict as input, then prescribes the countermeasure ladder by site value, impersonated user agent, and false-positive cost: deny at edge for scanner fingerprints, serve challenge pages for borderline cases, rate-limit tiers for noisy-but-legit domains, honeypot paths to confirm automation, and allowlist for verified genuine crawlers.
Output
A plain-prose decision procedure (120+ words) describing a countermeasure ladder tailored to the site's value, the impersonated user agent, and the false-positive cost — covering edge denial for confirmed scanner fingerprints, challenge pages for borderline cases, rate-limit tiers, honeypot path deployment, and allowlist criteria for verified genuine crawlers. Response also includes metadata such as model used, generation source (llm/reasoning/deterministic), and ISO-8601 timestamp.
Example use cases
E-commerce site under spoofed GPTBot scan
“Our security team just confirmed that what looks like GPTBot traffic on our store is actually a vulnerability scanner — give me the full step-by-step countermeasure ladder including what to block at the edge, when to serve challenge pages, and how to verify if any of it is a real crawler.”
Media publisher defending against Bytespider impersonation
“We're a high-traffic news site and someone is running scans disguised as Bytespider. What's the recommended response procedure — should we deny at the edge, honeypot them, or rate-limit, and how do we avoid blocking legitimate bots in the process?”
SaaS platform triaging borderline AI crawler traffic
“We've got ambiguous traffic that might be a spoofed AI crawler or might be the real thing — what decision procedure should we follow to classify it and choose between challenge pages, rate-limit tiers, or allowlisting based on how costly a false positive would be for us?”
Technical details
Endpoint
GEThttps://k2so.wrong.systems/api/services/someone-is-running-mass-vulnerability-scans-spoo?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have already confirmed or strongly suspected spoofed AI crawler traffic and need a structured, actionable countermeasure decision tree rather than raw threat intelligence. It is specifically tuned for the scenario of AI bot impersonation (ClaudeBot, GPTBot, Bytespider lookalikes) and provides a tiered response ladder rather than a single blocking recommendation. Prefer this over generic firewall rule generators when false-positive cost to legitimate crawlers matters.
Side effects
- Payment not provided — returns 402 with payment instructions
- Invalid query parameters — may return default topic if topic override is malformed
- Service unavailable — upstream LLM or deterministic engine unreachable
- Empty or malformed triage input — procedure may be generic rather than site-specific
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"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": "someone-is-running-mass-vulnerability-scans-spoo",
"procedure": "same as brief",
"generatedAt": "2026-01-01T00:00:00.000Z",
"generationSource": "deterministic"
},
"service": "someone-is-running-mass-vulnerability-scans-spoo",
"provider": "K-2SO"
}
}Tags
x402
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