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sector-recon-methodology

Identify non-regulated sectors with high WordPress vulnerability rates from field data.

1.1k|191|Updated Jun 24, 2026
Search Tags:#sector selection#recon campaigns#vulnerability tiering#target compilation#WordPress profiling#OPSEC scanning
One-click install
npx skills add https://github.com/uphiago/recon-skills --skill sector-recon-methodology
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sector-recon-methodology
Source: https://github.com/uphiago/recon-skills/tree/main/meta/sector-recon-methodology
Command: npx skills add https://github.com/uphiago/recon-skills --skill sector-recon-methodology

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill eliminates the guesswork and wasted effort of targeting low-yield or regulated sectors during offensive recon campaigns, using field-validated data from 600+ US companies across 28 sectors to prioritize high-vulnerability, low-effort targets.

Core Features & Use Cases

  • Sector Vulnerability Tiering: Categorizes sectors into Tier 1 (high yield, 15-25% vulnerability rate), Tier 2 (medium yield, 5-14%), and Tier 3 (zero/low yield, skip unless specific intelligence exists) to focus effort on the most productive targets.
  • Automated Target Compilation: Generates cleaned domain lists for selected sectors via crt.sh and subfinder, with built-in filtering for CDNs, parking pages, and SaaS platforms that are not self-hosted WordPress.
  • OPSEC-Controlled Batch Probing: Includes a Python script for serial, delayed domain probing that checks for WordPress, user enumeration, CORS reflection, XMLRPC, and exposed .git/.env files without triggering WAF blocks.
  • Use Case: If you are planning a WordPress-focused recon campaign, use this Skill to first identify that landscaping and dental clinics have 30-50% WordPress adoption rates with minimal WAF protection, then compile a vetted target list of 100+ domains in those sectors for batch scanning.

Quick Start

Use the sector-recon-methodology skill to identify the top 3 high-yield sectors for WordPress recon and compile a cleaned target list of 50 domains for batch scanning.

Frequently Asked Questions about sector-recon-methodology

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I select high-yield sectors for WordPress vulnerability recon campaigns?▼

Sector vulnerability tiering categorizes targets into Tier 1 (high yield, 15-25% vulnerability rate), Tier 2 (medium yield, 5-14%), and Tier 3 (low yield) to focus offensive recon campaigns on the most productive, non-regulated industry sectors.

What is the best way to compile a domain target list for batch scanning without hitting WAF blocks?▼

OPSEC-controlled batch probing uses a Python script for serial, delayed domain probing to check for WordPress, user enumeration, CORS reflection, XMLRPC, and exposed .git/.env files without triggering WAF blocks.

How do I filter out CDN, parking pages, and SaaS platforms when compiling WordPress targets?▼

Automated target compilation generates cleaned domain lists via crt.sh and subfinder, applying built-in filtering to remove CDNs, parking pages, and SaaS platforms that are not self-hosted WordPress instances.

Can I use this sector recon methodology to benchmark vulnerability rates against established baselines?▼

Yes, sector vulnerability benchmarking compares vulnerability rates per sector against established field baselines derived from 600+ US companies across 28 sectors to identify low-effort, high-yield targets.

Why does my recon campaign yield low vulnerability rates in regulated industry sectors?▼

Regulated sectors typically fall into Tier 3 (zero/low yield) and should be skipped unless specific intelligence exists, as field data shows they have minimal WordPress adoption rates and heavy WAF protection compared to non-regulated sectors.

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