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cdn-waf-fingerprinter

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Identify CDNs and WAFs from live signals

Data & Analytics#cdn#waf#fingerprinting#http headers#dns cname#tls jarm#security attribution
Authorhoanghn61
Version1.0.0
Installs0

System Documentation

What problem does it solve?

It removes the guesswork of determining which CDN, WAF, or bot/DDOS protection is protecting a target by inferring it from observable network and application signals.

Core Features & Use Cases

  • CDN fingerprinting: Detects common CDNs by matching HTTP headers/cookies, DNS CNAME patterns, and TLS fingerprint indicators.
  • WAF identification: Infers WAF products from security headers and characteristic cookies (e.g., Cloudflare WAF-style clearance tokens, Incapsula/Imperva cookies).
  • Security service attribution: Highlights related protection layers such as DDoS protection and bot management by correlating specialized header/cookie patterns.

Use case: When you have a domain or IP endpoint and need to understand its edge stack for incident response, threat modeling, or integration planning, this Skill produces an evidence-backed list of likely CDN/WAF/services.

Quick Start

Ask the AI to run cdn-waf-fingerprinter on the target’s Phase 2 signals (http_signals, dns_signals, ip_signals, tls_signals) and return the most likely CDN/WAF/DDOS/bot management findings with evidence.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: cdn-waf-fingerprinter
Download link: https://github.com/hoanghn61/.agents/archive/main.zip#cdn-waf-fingerprinter

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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