Recon Dominator

Recon Dominator

Full-scope reconnaissance orchestrator. From a single domain to a complete attack surface map.

Important

CRITICAL: Only use on domains you have explicit authorization to test. Verify scope before every engagement.

Instructions

Step 1: Scope Validation

Before ANY reconnaissance activity:

1. Ask the user to confirm they have written authorization to test the target domain(s)
2. Confirm the scope boundaries (wildcard subdomains? specific IPs only? out-of-scope assets?)
3. Document the scope in the output

Step 2: Passive Subdomain Enumeration

Run passive enumeration first (no direct contact with target):

python scripts/passive_recon.py --domain {target_domain}

This collects subdomains from:

• Certificate Transparency logs (crt.sh)
• DNS datasets (SecurityTrails, DNSDumpster)
• Search engine results
• Wayback Machine archives

Expected output: JSON list of discovered subdomains with source attribution.

Step 3: Active Subdomain Enumeration

After passive phase, run active enumeration:

python scripts/active_recon.py --domain {target_domain} --wordlist references/subdomains-wordlist.txt

This performs:

• DNS brute-force with common subdomain wordlist
• DNS zone transfer attempts
• Virtual host discovery
• Permutation/alteration scanning (dev-, staging-, api-, etc.)

Step 4: Live Host Detection and Port Scanning

python scripts/port_scanner.py --input {subdomains_file} --top-ports 1000

For each live subdomain:

1. HTTP/HTTPS probe (status codes, redirects, titles)
2. Top 1000 port scan with service version detection
3. Banner grabbing on open ports
4. WAF/CDN detection (Cloudflare, Akamai, AWS CloudFront)

Step 5: Technology Fingerprinting

python scripts/tech_fingerprint.py --input {live_hosts_file}

Detect:

• Web server (Apache, Nginx, IIS, etc.)
• Programming language/framework (PHP, Django, Rails, Spring, etc.)
• CMS (WordPress, Drupal, Joomla)
• JavaScript frameworks (React, Angular, Vue)
• Third-party services and integrations
• HTTP security headers (or lack thereof)

Step 6: OSINT Correlation

python scripts/osint_correlator.py --domain {target_domain}

Gather:

• WHOIS history and registrant patterns
• ASN mapping and IP range ownership
• Reverse IP lookups (shared hosting)
• Email addresses associated with the domain
• Social media and GitHub references
• Leaked credentials databases (public sources only)

Step 7: Google Dorking

python scripts/google_dorker.py --domain {target_domain} --dork-file references/dorks-database.txt

Automated searches for:

• Exposed files: site:{domain} filetype:pdf|doc|xls|sql|bak|log|env
• Login panels: site:{domain} inurl:admin|login|dashboard
• Directory listings: site:{domain} intitle:"index of"
• Error messages: site:{domain} "sql syntax" | "warning" | "error"
• Sensitive endpoints: site:{domain} inurl:api|graphql|swagger|config

Step 8: Wayback Machine Analysis

python scripts/wayback_analyzer.py --domain {target_domain}

Extract:

• Historical endpoints no longer linked but still active
• Removed pages with sensitive information
• Old API versions still responding
• Parameter names from archived URLs
• JavaScript files with hardcoded secrets

Step 9: Output Generation

Compile all findings into a structured report:

python scripts/generate_report.py --project {project_name}

Output format:

1. Executive Summary: domain count, subdomain count, live hosts, open ports, technologies
2. Asset Inventory: full list with metadata per asset
3. Technology Matrix: tech stack per subdomain
4. Potential Entry Points: ranked by interest level
5. Relationship Graph: JSON graph of domain relationships
6. Raw Data: all collected data in JSON for pipeline consumption

Output Files Structure

output/{project_name}/
  summary.md           # Human-readable report
  assets.json          # Full asset inventory
  subdomains.json      # All discovered subdomains
  ports.json           # Port scan results
  technologies.json    # Tech fingerprinting
  osint.json           # OSINT findings
  wayback.json         # Historical data
  graph.json           # Relationship graph
  dorking_results.json # Google dork findings

Error Handling

Common Issues

Rate Limiting on External APIs

If you see "429 Too Many Requests":

1. The scripts have built-in rate limiting and backoff
2. If persistent, increase delay: --delay 5
3. For crt.sh: wait 60 seconds between requests

DNS Resolution Failures

If subdomains fail to resolve:

1. Try alternative DNS resolvers: --resolvers 8.8.8.8,1.1.1.1,9.9.9.9
2. Check if target uses split-horizon DNS
3. Some subdomains may be internal-only

Timeout on Port Scanning

For large scope (100+ subdomains):

1. Reduce port count: --top-ports 100
2. Increase timeout: --timeout 10
3. Run in batches: --batch-size 20

Examples

Example 1: Single Domain Recon

User says: "Run full recon on example.com"

Actions:

1. Confirm authorization
2. Run all steps sequentially on example.com
3. Generate consolidated report

Result: Complete attack surface map with all subdomains, services, and technologies.

Example 2: Multi-Domain Bug Bounty Scope

User says: "I have a bug bounty scope: *.example.com, api.example.org, app.example.io"

Actions:

1. Confirm bug bounty program and scope rules
2. Run passive + active enum on each wildcard domain
3. For specific subdomains, skip enumeration, go directly to port scan
4. Cross-correlate findings between domains
5. Generate unified report

Example 3: Quick Passive Only

User says: "Do passive recon only on example.com, no active scanning"

Actions:

1. Run only Steps 2, 6, 7, 8 (no direct target contact)
2. Skip active DNS brute, port scanning, tech fingerprinting
3. Generate report with passive findings only

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: Orizon-eu
• Source: Orizon-eu/claude-code-pentest
• License: MIT
• Homepage: https://orizon.one

Install and usage instructions live in the source repository linked above.