advanced-reconnaissance

name	Advanced Reconnaissance
description	Elite methodology for discovering maximum attack surface with minimal detection (5-Layer Approach).
author	1ikeadragon
license	GPLv3

Advanced Reconnaissance

Skill Overview

Prerequisites: DNS, HTTP, command-line tools
Goal: Discover maximum attack surface with minimal detection

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Core Philosophy

Breadth → Depth → Exploitation Wide net → Focus → Attack

Key Principle: 80% of bugs come from assets others miss.

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The 5-Layer Approach

1. Layer 1: Organization Intelligence (scope understanding)
2. Layer 2: Passive Subdomain Discovery (no target contact)
3. Layer 3: Active Discovery (DNS queries, brute-forcing)
4. Layer 4: Asset Enumeration (ports, services, tech stack)
5. Layer 5: Deep Content Discovery (endpoints, parameters)

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Layer 1: Organization Intelligence

ASN & IP Range Discovery

• Use whois and amass intel to find ASNs and IP ranges.
• Reference: Use results to feed into active_discovery workflows.

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Layer 2: Passive Subdomain Discovery

Certificate Transparency & DNS Aggregators

• Tools: subfinder, amass, crt.sh.
• Goal: Build a seed list for active resolution.

Search Engine Dorking

• Google/GitHub dorks to find shadow IT and dev environments.

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Layer 3: Active Subdomain Discovery

DNS Brute-Forcing

• Tools: puredns, shuffledns.
• Strategy: Use massive wordlists (Jhaddix/SecLists) + Permutations (altdns).

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Layer 4: Asset Discovery

Port Scanning & Service Enumeration

• Tools: naabu, nmap.
• Output: live.txt (Httpx results)
• Integration: Feed live web services to web_application_security skills.

Technology Detection

• Tools: nuclei -t technologies, whatweb.
• Identify WAFs early (refer to waf_bypass skill if blocked).

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Layer 5: Deep Content Discovery

Crawling & JavaScript Analysis

• Tools: katana, hakrawler.
• Action: Extract API endpoints from JS files (refer to javascript_analysis skill for deobfuscation).

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Cloud Asset Discovery

• AWS/Azure/GCP: Bucket enumeration and cloud-specific pattern scanning.

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Automation

• Build pipelines using tmux or axiom for distributed scanning.
• Continuous Monitoring: Alert on new subdomains (Cron + Subfinder).

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Data Organization

Maintain a standardized directory structure (recon/target/subdomains, recon/target/web, etc.) as defined in the overarching methodology.