A young security researcher describes how he moved from blindly running scanners to developing genuine understanding of target applications during his Bug Bounty journey.
He began with a comprehensive information security course that included cryptography, networks, TCP/IP, server administration, Docker, databases, web applications, Python, Bash, HTML/JS, OWASP Top 10, forensics, and reverse engineering. Although the volume of material proved challenging, the practical topics in programming, administration, and web technologies proved most engaging.
Interest in offensive security grew after discovering TryHackMe rooms and pentesting videos. The researcher then encountered the concept of Bug Bounty and formed a simple plan: select a program, scan it, locate a vulnerability, and submit a report.
Reality proved far more complex. Real applications presented WAF protections, rate limits, IP blocks, strict scopes, and extensive prior research by other hunters. For the first two to three months, reliance on course knowledge and public tools yielded almost no valid findings.
The researcher made the classic mistake of stacking multiple scanners, generating hundreds of results without understanding endpoint purpose, parameter roles, or required privileges. After burnout, he left Bug Bounty for six months to work in construction.
Learning from public reports
Upon returning, he spent long commutes reading public HackerOne reports. This practice revealed patterns in how successful researchers noticed anomalies, formed hypotheses, and proved impact. The key realization was that recognizing deviations from expected behavior matters more than memorizing payload lists.
His second attempt began with a VDP program. After more than ten duplicates and invalid submissions, he finally received confirmation for a valid, previously unreported finding. The moment confirmed that he could succeed at the activity.
Current approach
Today the researcher uses Burp Suite for manual testing and avoids launching large scanner suites on every new domain. Instead, he first reads program policy, understands rate limits, studies the service purpose, maps domains, and learns how components interact. This contextual knowledge makes it easier to spot logic flaws and permission issues.
At 18 years old and now a university freshman, he continues to invest significant time in Bug Bounty while also exploring reconnaissance, machine learning, and personal projects. He advises newcomers to first understand the target application thoroughly before searching for anomalies rather than specific vulnerability types.
