A Practical Bug Bounty and Pentest Methodology
Methodology isn't a poster on the wall. It's the thing that keeps you from clicking randomly at midnight when a program looks juicy. Good testers run the same loop whether they're on a bounty platform or a signed SOW.
The loop is boring on purpose: understand boundaries, map the app, form a hypothesis, test narrowly, document clearly. Excitement comes from being right, not from spraying payloads.
Anchor on scope first
Before Burp even opens, read scope twice. Note what's forbidden, what's in wildcard, and what counts as duplicate. Pentest statements of work work the same way—out-of-scope traffic can end careers.
I keep a one-page scope sheet: domains, excluded paths, account tiers, and mobile apps if any. Every test session starts there.
Recon that feeds hypotheses
Recon isn't a trophy list of subdomains. It's input for questions: why does this staging host exist, who uses the GraphQL endpoint, what changed since last week?
Map roles and workflows before vulnerability classes
Tag interesting endpoints in your proxy
Stop when you can explain the app's purpose in two sentences
Validate like you'll defend it in triage
One reproducible path beats five maybes. Capture timestamps, account roles, and the smallest request set that proves impact. For pentests, tie findings to business risk in plain language.
When you're stuck, return to scope and user flows—not a new tool.
Methodology scales with experience, but the skeleton stays. Discipline is what separates professionals from tourists.
Run this only where you're explicitly allowed—program rules and client contracts aren't suggestions.
Timeboxing without rushing
I timebox recon and validation blocks on a calendar—even on bounties—so I don't disappear into one endpoint for a week. When the block ends, I write what I learned even if it's 'nothing yet.'
Pentest deliverables benefit from the same rhythm: mid-engagement checkpoint notes prevent the final 48-hour report panic.
Closing the loop
After each cycle, write one paragraph on signal vs noise: which hypothesis paid off and which tool run was wasted time.
Share methodology tweaks with teammates—consistent language speeds handoffs on shared clients.
Retest your own findings when programs fix issues; it teaches how devs misunderstand reports.
Worth reading next
Bug Bounty: How to Read Program Scope Properly
From Recon Data to Testing Hypotheses
Why You’re Not Finding Bugs (and How to Unstick)
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