🧠 Recon Playbook — Attack Surface Intelligence Framework

A structured, signal-driven reconnaissance methodology for modern bug bounty and security research.

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🎯 Scope

This repository focuses exclusively on reconnaissance and attack surface discovery.

It does NOT include exploitation or reporting.

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🧭 What This Project Does

This framework transforms raw internet data into structured attack surface intelligence.

It focuses on:

• Asset discovery
• Subdomain enumeration
• Endpoint mapping
• JavaScript intelligence extraction
• Parameter discovery
• Threat modeling
• Active validation (non-exploitative)

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⚙️ Methodology Overview

Phase 1 — Passive Recon

Wide asset discovery and OSINT gathering

Phase 2 — Narrow Recon

Prioritization and filtering of assets

Phase 3 — On Target Recon

Deep analysis of live systems (JS, APIs, parameters)

Phase 4 — Threat Modeling

Building vulnerability hypotheses from attack surface

Phase 5 — Active Recon

Validation of endpoints, parameters, and behavior

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🧠 Core Philosophy

“Recon is not data collection — it is system understanding.”

This framework is built on:

• Signal-based recon (not tool-based)
• Noise reduction before expansion
• Hypothesis-driven validation
• Depth over breadth

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📁 Structure

phases/ → Recon methodology phases docs/ → Methodology + scope wordlists/ → Custom recon wordlists scripts/ → Automation scripts

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🚫 Out of Scope

• Exploitation
• Payload development
• Vulnerability chaining
• Reporting workflows

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⚡ Goal

To build a repeatable intelligence system for understanding any web application attack surface.

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🧠 Author Note

This project is based on real-world bug bounty experience and optimized for efficiency, signal quality, and depth of analysis.