July 23, 2026
The Bug Bounty Recon Workflow I Use Before Opening Burp Suite
Why great bug bounty hunters spend more time understanding an application than attacking it.
By Michael Oscar
3 min read
If you ask ten successful bug bounty hunters where they find the majority of their valid reports, many of them will give the same answer:
Reconnaissance.
Not Burp Suite. Not a scanner. Not a payload list.
Recon.
Most beginners make the same mistake when they open Burp Suite the moment they visit a target. While intercepting traffic is important, it's often too early. Before testing for vulnerabilities, you need to understand what you're testing.
Every application leaves clues. Hidden endpoints, forgotten subdomains, archived URLs, exposed JavaScript, development environments, API documentation, and misconfigured infrastructure all expand an application's attack surface. Reconnaissance is about finding those clues before anyone else.
This article outlines the workflow I use before I ever click "Intercept is on."
Step 1: Understand the Scope
The first rule of bug bounty is simple:
Only test what you're authorized to test.
Read the program's scope carefully. Pay attention to:
- In-scope domains
- Out-of-scope assets
- Testing restrictions
- Safe harbor policy
- Vulnerabilities the program accepts
A great finding on an out-of-scope asset is still an invalid report.
Step 2: Map the Attack Surface
Once I know what's in scope, I start discovering every reachable asset.
My goal isn't to attack anything yet.
My goal is to answer questions like:
- What subdomains exist?
- Which services are alive?
- Which technologies are being used?
- Are there staging environments?
- Are there forgotten applications?
Every new asset is another opportunity.
The wider your visibility, the higher your chances of finding something unique.
Step 3: Study JavaScript Files
JavaScript is one of the richest reconnaissance sources available.
Modern web applications often expose information directly inside client-side code.
Things I look for include:
- API endpoints
- Internal route names
- Feature flags
- Third-party integrations
- Cloud storage URLs
- Debug functionality
- Hardcoded identifiers
- Authentication flows
JavaScript tells you how developers think.
Understanding the application's logic is often more valuable than launching automated scans.
Step 4: Build an Endpoint Inventory
Instead of clicking around randomly, I create a list of every endpoint I can discover.
This includes:
- Public pages
- API routes
- Static assets
- Authentication endpoints
- Upload functionality
- Administrative features
- Search functionality
Once the inventory is complete, testing becomes systematic rather than random.
Step 5: Learn the Application
One mistake I made early in my journey was testing vulnerabilities before understanding the product.
Now I spend time asking questions like:
- How do users register?
- What permissions exist?
- What data belongs to each user?
- How is payment handled?
- Where are uploads processed?
- Which actions modify sensitive information?
Business logic vulnerabilities usually appear where functionality becomes complex.
You cannot exploit logic you don't understand.
Step 6: Prioritize High-Risk Features
Not every endpoint deserves equal attention.
I usually investigate features involving:
- Authentication
- Authorization
- Account management
- Password resets
- File uploads
- Payment processing
- Invitations
- API endpoints
- Administrative functionality
These areas consistently produce impactful vulnerabilities because they directly affect trust boundaries.
Step 7: Begin Manual Testing
Only after reconnaissance do I start using Burp Suite extensively.
Now every request has context.
Instead of guessing where vulnerabilities might exist, I'm testing informed hypotheses.
Questions become more specific:
- Can this identifier be changed?
- Is authorization enforced server-side?
- Can I bypass validation?
- Does this endpoint trust client input?
- What assumptions is the application making?
Manual testing becomes significantly more effective when driven by understanding instead of curiosity alone.
Why I Avoid Relying Solely on Automated Scanners
Automated tools are excellent assistants.
They are poor investigators.
Scanners excel at identifying known patterns but struggle with:
- Business logic flaws
- Authorization issues
- Workflow abuse
- Race conditions
- Multi-step vulnerabilities
- Context-dependent bugs
Those are often the findings that earn meaningful bug bounty payouts.
Automation should support your methodology and not replace it.
The Biggest Lesson I've Learned
The best bug hunters aren't necessarily the people with the biggest payload lists.
They're the people who ask better questions.
Every application tells a story.
Reconnaissance is simply learning to read it.
When you understand how developers designed a system, you begin to notice assumptions they never expected an attacker to challenge.
That's where valuable vulnerabilities are found.
Final Thoughts
Reconnaissance isn't the exciting part of bug bounty hunting.
There are no dramatic payloads. No flashy exploits. No instant results.
But it's the phase that separates methodical researchers from people hoping to get lucky.
Before you start fuzzing parameters or testing payloads, spend time understanding the application.
The more complete your mental map of the target becomes, the more likely you are to discover the vulnerability everyone else overlooked.
In bug bounty, success rarely comes from attacking first.
It comes from observing first.