Beyond Recon: My Personal Methodology for Hunting High-Impact Vulnerabilities in 2026

introduction

Bug bounty hunting has changed dramatically over the past few years.

Five years ago, running a few reconnaissance tools, scanning with templates, and manually testing a handful of endpoints was often enough to discover valid vulnerabilities. Today, thousands of researchers are using the exact same tools, the same wordlists, and the same automated pipelines. As a result, the competition has never been higher

Modern applications are also becoming increasingly complex. Organizations no longer consist of a single web application. Instead, they operate large ecosystems

This evolution has fundamentally changed the nature of bug bounty hunting.

This methodology is not designed to teach individual vulnerabilities like Cross-Site Scripting or SQL Injection. There are already countless resources explaining those topics.

The goal is to develop a repeatable methodology that can be applied to almost any target, regardless of its technology stack.

CHAPTER 1— RECON

Passive Subdomain Enumeration

subfinder -d target.com -silent -all -recursive -o subfinder.txt

chaos -d target.com -silent -key "API_KEY" -o chaos.txt

waymore -i target.com -mode U -oU waymore.txt

cat *.txt | sort -u | anew allsubs.txt

Resolve & Probe Live Hosts

dnsx -l allsubs.txt -silent -resp-only -o resolved.txt

httpx -l resolved.txt \
-silent \
-title \
-tech-detect \
-status-code \
-ip \
-cname \
-web-server \
-o alive.txt

URL Collection

cat alive.txt | awk '{print $1}' | gau --subs > gau.txt

cat alive.txt | awk '{print $1}' | waybackurls > wayback.txt

waymore -i alive.txt -mode U -oU waymore_urls.txt

cat gau.txt wayback.txt waymore_urls.txt | uro | sort -u > urls.txt

JavaScript Discovery

grep -Ei "\.js(\?|$)" urls.txt > js.txt

katana -list alive.txt -jc -silent | grep -Ei "\.js(\?|$)" | anew js.txt

Endpoint Discovery

katana -list alive.txt -d 5 -jc -silent -o katana.txt

Sensitive Files

ffuf \
-u https://target.com/FUZZ \
-w /usr/share/seclists/Discovery/Web-Content/common.txt \
-e .env,.bak,.old,.git,.zip,.sql,.json,.yaml \
-mc 200,301,302

Parameter Discovery

cat urls.txt | gf xss
cat urls.txt | gf sqli
cat urls.txt | gf lfi
cat urls.txt | gf redirect
cat urls.txt | gf ssrf

JavaScript Analysis

cat js.txt | nuclei -t http/exposures/
cat js.txt | secretfinder

CHAPTER 2 — Attack Surface Intelligence

Attack Surface Mapping is the process of identifying the application’s most critical functionalities instead of testing every discovered endpoint. The objective is to understand how the application is built, where trust boundaries exist, and which features can lead to the highest impact vulnerabilities.

Discover Hidden Endpoints

katana -list alive.txt -d 5 -jc -silent -o endpoints.txt

Collect JavaScript Files

grep -Ei "\.js(\?|$)" urls.txt | sort -u > js.txt

Analyze JavaScript

SecretFinder -i https://target.com/app.js

Search for Hidden Endpoints

cat js.txt | nuclei -t http/exposures/

Discover API Endpoints

cat js.txt | grep -E "/api|graphql|swagger|openapi|v1|v2|internal|beta"

Extract Parameters

cat urls.txt | unfurl keys | sort -u

Detect Technologies

httpx -l alive.txt -tech-detect -title -web-server -status-code

CHAPTER 3 — IDENTITY & ACCESS CONTROL

Identity & Access Control vulnerabilities are among the most common sources of high-impact findings. Instead of testing only login forms, analyze every mechanism responsible for authentication, authorization, session management, and privilege separation.

Authentication Testing

• Registration
• Login
• Password Reset
• Email Verification
• MFA / 2FA
• Session Management
• OAuth / SSO

Authorization Testing

• Horizontal Access (IDOR / BOLA)
• Vertical Privilege Escalation
• Role Changes
• Organization Isolation
• Multi-Tenant Access
• Mass Assignment

Compare User Roles

Create multiple accounts and compare requests between:

• Guest
• User
• Admin (if available)
• Organization Member
• Organization Owner

OAuth & SSO

Test:

• Missing state
• Weak redirect_uri
• Account Linking
• Email Collision
• Scope Escalation
• Session Confusion

JWT Analysis

jwt-tool <JWT>

Discover Hidden Parameters

arjun -u https://target.com/profile

Find Authorization Issues

cat urls.txt | nuclei -t http/idor/

Burp Extensions

• Autorize
• AuthMatrix
• JWT Editor
• Param Miner

Hunter Checklist

• Can I access another user’s data?
• Can I bypass role restrictions?
• Can I change sensitive parameters?
• Can I reuse expired tokens?
• Can I access APIs directly?
• Can I switch organization IDs?
• Can I modify hidden fields?

CHAPTER 4 — BUSINESS LOGIC HUNTING

Business Logic vulnerabilities are rarely discovered by automated scanners. They arise when the application’s workflow can be abused in ways that developers did not anticipate. Focus on understanding how a feature is supposed to work, then identify ways to break its intended flow.

High-Value Features

• Payments
• Coupons
• Wallets
• Gift Cards
• Subscriptions
• Refunds
• Invitations
• Discounts
• Loyalty Points
• Account Settings

Abuse Workflow

• Skip a required step
• Repeat an action
• Change request order
• Modify hidden parameters
• Replay requests
• Switch user accounts
• Change Organization IDs
• Mix Web & API requests

Abuse Questions

• Can I perform this action twice?
• Can I skip validation?
• Can I execute it without authentication?
• Can I perform it as another user?
• Can I automate it?
• Can I combine it with another feature?

Test Race Conditions

# Burp Suite → Turbo Intruder
Send 50–100 concurrent requests

Parameter Discovery

arjun -u https://target.com/api/profile

Find Hidden Parameters

cat urls.txt | gf interestingparams

Burp Extensions

• Turbo Intruder
• Param Miner
• Logger++

Hunter Checklist

• Price Manipulation
• Coupon Reuse
• Double Spending
• Workflow Bypass
• Privilege Abuse
• Organization Escape
• State Desynchronization
• Business Rule Bypass

Hunter Mindset

Don’t test endpoints individually.

Test complete workflows. Every transition between two steps (login → payment, payment → refund, invite → organization, upload → processing) is a potential attack surface where high-impact business logic flaws often emerge.

CHAPTER 5 — Advanced Attack Vectors

After mapping the attack surface and understanding the business logic, focus on manually testing high-impact vulnerability classes. Automation helps identify opportunities, but manual analysis is what uncovers critical findings.

Priority Targets

• SSRF
• File Upload
• Cache Poisoning
• GraphQL
• Request Smuggling
• WebSockets
• Deserialization
• Prototype Pollution

GraphQL Enumeration

graphql-cop -t https://target.com/graphql

Scan for Common Misconfigurations

nuclei -l alive.txt -severity medium,high,critical

Analyze JavaScript Secrets

SecretFinder -i https://target.com/app.js

Directory & Hidden Files

ffuf -u https://target.com/FUZZ \
-w /usr/share/seclists/Discovery/Web-Content/common.txt

Useful Burp Extensions

• Param Miner
• JS Miner
• Content Type Converter
• HTTP Request Smuggler
• Web Cache Deception Scanner

Hunter Checklist

• SSRF → Internal Services
• GraphQL Introspection
• Hidden API Versions
• Cache Poisoning
• HTTP Request Smuggling
• File Upload Bypass
• WebSocket Authorization
• Prototype Pollution
• Deserialization
• Host Header Injection

Hunter Mindset

Never stop after finding one vulnerability. Test how it interacts with other features, APIs, and trust boundaries. High-impact findings often emerge by combining multiple low or medium severity issues into a single attack chain.

CHAPTER 6 — REPORTING & HUNTER MINDSET

Finding a vulnerability is only half the job. The best hunters maximize impact by chaining weaknesses, documenting them clearly, and explaining the real business risk instead of only describing the technical issue.

Before Reporting

• Validate the impact
• Check for a possible bug chain
• Reproduce the issue consistently
• Capture clean HTTP requests
• Record screenshots or short videos
• Suggest a practical remediation

Build Attack Chains

Don’t stop after the first finding.

IDOR
   ↓
Sensitive Data
   ↓
Privilege Escalation
   ↓
Account Takeover

SSRF
   ↓
Cloud Metadata
   ↓
IAM Credentials
   ↓
Infrastructure Access

Cache Poisoning
   ↓
Stored XSS
   ↓
Admin Session
   ↓
Full Compromise

Report Structure

• Summary
• Impact
• Steps to Reproduce
• HTTP Requests / Responses
• Proof of Concept
• Screenshots
• Remediation

Tools

interactsh-client

notify -silent

Hunter Checklist

• Can I increase the impact?
• Can I combine it with another vulnerability?
• Is there another affected endpoint?
• Does the mobile API behave differently?
• Can another role exploit it?
• Can another organization exploit it?

Golden Rules

• Understand the business before testing.
• Prioritize impact over quantity.
• Never trust the frontend.
• Compare every role.
• Analyze every API version.
• Diff JavaScript after updates.
• Look for the second bug.
• Think like a developer, test like an attacker.

Final Workflow

Recon
   ↓
Attack Surface Mapping
   ↓
Identity & Access Control
   ↓
Business Logic
   ↓
Advanced Testing
   ↓
Bug Chaining
   ↓
Reporting

Final Mindset

Tools help you discover assets.

Methodology helps you discover vulnerabilities.

Understanding the application helps you discover Criticals.

The best bug bounty hunters don’t attack endpoints.

They attack assumptions.

— — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — —

Thanks for reading.

If you found this methodology useful, 
feel free to follow me for more bug bounty write-ups, 
advanced methodologies, and security research.

Happy Hunting!

- Abd Elhakim -