sector-recon-methodology

Pick sectors, compile targets, batch recon for campaigns.

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Dépôt: uphiago/recon-skills
Dernière activité de la source: 29 juillet 2026 à 23:32
Langue détectée de SKILL.md: anglais
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name	sector-recon-methodology
description	Pick sectors, compile targets, batch recon for campaigns.
version	1.1.0
revision_date	"2026-07-25T00:00:00.000Z"
license	MIT
platforms	["linux"]
compatibility	Requires curl, nmap, python3, masscan, subfinder, httpx, nuclei
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"]

Sector Recon Methodology Skill

Methodology for selecting non-regulated industry sectors with the highest WordPress vulnerability rates, compiling company domain lists, and running batch reconnaissance within authorized engagements. Distilled from surveying 600+ US company domains across 28 sectors under bug bounty and authorized testing programs.

When to Use

Planning a new recon campaign and need to choose sectors.
Expanding from tested sectors into new ones.
Building target lists from sector keywords via crt.sh.
After recon-playbook Phase 0 — this skill provides the sector intelligence.
Comparing your findings against baseline vulnerability rates per sector.

Prerequisites

curl, jq, httpx, and subfinder.
Understanding of the US regulatory landscape (HIPAA, GLBA, PCI-DSS) — regulated sectors have near-zero vulnerability rates.
An execution environment with explicit concurrency and rate limits.

How to Run

# Generate targets for a sector
SECTOR="landscaping"
curl --max-time 30 --connect-timeout 10 -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.

Quick Reference

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

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 (funeral.example.com, memorial.example.com)
Senior Living	17%	P-02 (CORS) + XMLRPC	~33%	Cloudflare	senior-living.example.com (80 XMLRPC methods + CORS + multicall), senior-living2.example.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

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

OUTDIR="$OUTDIR/sectors"
mkdir -p "$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 --connect-timeout 10 "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'
[VET_CLINIC]
[VET_CHAIN]
[PET_RETAILER]
[VET_CORPORATE]
[VET_HOSPITAL]
[VET_SPECIALIST]
[ANIMAL_CLINIC]
[VET_CLINIC]
[TRADE_PUBLICATION]
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 --connect-timeout 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="$OUTDIR/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 --connect-timeout 10 "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"

OUTDIR="$OUTDIR/sectors"
FINDINGS_DIR="$OUTDIR/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

---
name: recon-SECTORNAME
description: Reconnaissance workflow for SECTOR NAME companies.
version: 1.1.0
revision_date: 2026-07-25
license: MIT
platforms: [linux]
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