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Going deep on a single bug bounty program
Instead of chasing every program on HackerOne, I picked one large target and learned it end-to-end.
Monthly income
$2.8k
reported by author
Time to results
4-6 months
Initial investment
$0
Replicability
★★★★★
2/5
Risk profile
ConservativeRadical
How it works
Most bounty hunters spray across programs. Going deep on one — reading every changelog, mapping every subdomain — turns up bugs others miss. Payouts of $500-5k a few times a quarter add up.
Step by step
- 1Choose one public program with a wide scope: hundreds of subdomains, active engineering, a history of paying $500+ for medium-severity bugs. Read the last 90 days of resolved reports.
- 2Read the program's scope page line-by-line. Note the out-of-scope list — most duplicate reports come from ignoring it.
- 3Spend the first weekend on reconnaissance: subdomain enumeration (amass, subfinder), DNS history (SecurityTrails), and a full URL crawl (katana, gau). Save everything to a versioned repo.
- 4Build a personal Notion or Obsidian wiki: one page per subdomain, tech stack, notable endpoints, past disclosures. This becomes your unfair advantage.
- 5Subscribe to the program's changelog, engineering blog, status page and any public GitHub org. Every release is a fresh attack surface.
- 6Focus on business-logic bugs, not scan output. Authorization flaws, IDORs, race conditions and privilege escalations pay far more than XSS.
- 7Write reports in a boring, reproducible template: title, impact, prerequisites, steps to reproduce, request/response, suggested fix. No screenshots without arrows.
- 8Ship many small, high-quality reports. Triagers reward reliability with faster reviews and cleaner disclosure timelines.
- 9Never test out-of-scope, never exfiltrate real user data, never brute force. One violation gets you banned from the platform.
- 10Track hourly rate quarterly. If you drop under $100/hr for 2 consecutive quarters, either switch programs or narrow your specialty (mobile, API, SSRF chains).
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