Why My First 15 Bug Bounty Reports Were Rejected (And What Each One Taught Me)

Why My First 15 Bug Bounty Reports Were Rejected (And What Each One Taught Me)

Every Rejected Bug Bounty Report I Got

Bug bounty content almost never talks about rejections in detail. People show the accepted report, the bounty screenshot, the Hall of Fame badge. Nobody shows the rejection email and explains, line by line, why the triager said no.

I've kept every rejection I've received since I started. In my 3-month bug bounty breakdown I gave the raw totals — I've kept every rejection I've received since I started. In my 3-month bug bounty breakdown I gave the raw totals — 11 duplicates, 6 Not Applicable reports out of 23 total submissions — but I never went category by category through what each rejection actually said and what it changed about how I test. That's this post. — but I never went category by category through what each rejection actually said and what it changed about how I test. That's this post.

This isn't a generic "reasons your bug bounty report gets rejected" listicle — those exist everywhere and read the same. This is my own rejection log, category by category, with the actual case that taught me something in each one.

Who this is for: Anyone submitting reports and getting discouraged by "Not Applicable," "Duplicate," or "Informational" responses. This is the failure log I wish someone had shown me before I started.

📚 Resources That Helped Me Write Better Reports

Most of my rejected reports weren't caused by finding the wrong vulnerability—they happened because I lacked the experience to understand impact, methodology, and web application behavior. These books helped me improve far more than random YouTube videos.


🐧 Linux Basics for Hackers

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🐍 Black Hat Python

Shows how Python can automate reconnaissance, web testing, networking, and offensive security tasks—skills that save hours during bug bounty hunting.

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🌐 The Web Application Hacker's Handbook

Still one of the best books for understanding SQL Injection, XSS, authentication flaws, Burp Suite, and professional web application testing.

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Disclosure: As an Amazon Associate, I earn from qualifying purchases at no additional cost to you.

What this guide covers:
  1. My rejection breakdown by category
  2. Out of scope — the ones that were my fault
  3. Duplicates — the ones that were just timing
  4. Informational / won't-fix — the grey zone
  5. Weak impact writeups — rejected for the wrong reason
  6. The one rejection that actually changed how I test
  7. How to read a rejection without it wrecking your motivation

The Rejection Breakdown

[N]Total reports submitted
[N]Rejected or closed without bounty
[N]Marked duplicate
[N]Marked out of scope
[N]Marked informational / accepted risk
[N]Rejected for weak impact writeup

Read the ratio, not just the total. If most of your rejections are duplicates, your target selection is the problem, not your skill. If most are out of scope, your scope-reading discipline is the problem. If most are weak-impact rejections, your report writing is the problem. Each category points to a different fix.

Out of Scope — The Ones That Were My Fault

1

Category: Out of Scope

Several reports

One of the earliest lessons I learned was that finding a vulnerability isn't enough—it also has to be within the program's defined scope. I spent hours testing a feature that appeared to belong to the target company, only to discover it wasn't covered by the bug bounty policy. The triager closed the report as out of scope. Since then, I make it a habit to read the scope page carefully before testing, paying close attention to excluded assets, third-party services, and vulnerability exclusions. That small change has saved me countless hours.

What it taught me: Always spend five minutes understanding the scope before spending five hours testing. A well-planned target is far more valuable than testing every subdomain you can find.

Duplicates — The Ones That Were Just Timing

2

Category: Duplicate

Several

Duplicate reports can be frustrating because they often involve genuine vulnerabilities. I once spent considerable time confirming an issue, documenting every step, and preparing a detailed report, only to receive a response that another researcher had submitted the same finding first. Although disappointing, it reminded me that timing matters just as much as technical skill in bug bounty hunting. A technically correct report submitted too late is still considered a duplicate.

What it taught me: I now submit confirmed findings as soon as I have enough evidence instead of waiting to perfect every screenshot. Speed and accuracy need to be balanced.

Informational / Won't-Fix — The Grey Zone

Security Observation Without Practical Impact

Informational

During testing, I discovered a behavior that initially appeared to be a security issue. However, after review, the program determined that it did not create a realistic security impact or expose sensitive information. While the finding was technically valid, it didn't meet the program's criteria for a bounty because the risk was considered negligible.

No bounty awarded — Informational finding

Weak Impact Writeups — Rejected for the Wrong Reason

4

Category: Weak Impact / Unclear PoC

Several reports

One of the biggest mistakes I made early on wasn't finding the wrong vulnerability—it was failing to explain why it mattered. I would describe the technical issue, attach a screenshot, and assume the impact was obvious. From the triager's perspective, however, they needed clear reproduction steps, evidence that the issue was exploitable, and a realistic explanation of the business risk. Looking back, I realized my reports were missing the story that connected the technical finding to a real security impact. Once I started treating every report like a technical document rather than a quick note, my report quality improved dramatically.

What it taught me: A great bug bounty report is more than a vulnerability description. It should include clear step-by-step reproduction instructions, HTTP requests or screenshots where appropriate, proof-of-concept videos for complex issues, realistic impact analysis, and suggested remediation. Good communication often determines how quickly a report can be validated.

Bug bounty rejection log tracker example

The One Rejection That Actually Changed How I Test

Thinking Like a Triager Instead of a Hunter

The most valuable lesson I learned wasn't about finding more vulnerabilities—it was understanding how triagers evaluate reports. As a beginner, I focused almost entirely on discovering unusual application behavior. Over time, I realized that triagers don't reward interesting behavior—they reward vulnerabilities that demonstrate clear security impact, are reproducible, and fit within the program's scope. That completely changed how I approach bug bounty hunting. Before submitting anything now, I ask myself three questions: Can another person reproduce this? Does it create a real security risk? Have I clearly explained why it matters? If I can't confidently answer all three, I continue testing before submitting. That simple checklist has become one of the biggest improvements in my methodology.

How I Read Rejections Now

  • I carefully read every triager response instead of immediately moving on to another target.
  • I compare rejected reports with publicly disclosed reports to understand what successful submissions included.
  • I maintain a checklist of common mistakes so I don't repeat the same reporting errors.
  • I focus on improving one skill after every rejection—whether it's reconnaissance, impact analysis, report writing, or proof-of-concept development.

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Should Rejections Stop You From Continuing?

Absolutely not. Rejections are part of every bug bounty hunter's journey, regardless of experience. Every duplicate, informational finding, or out-of-scope report teaches something that improves future submissions. The goal isn't to avoid rejection completely—it's to learn from each one and gradually build better technical skills, stronger methodology, and clearer communication. Every experienced researcher has a collection of rejected reports behind their successful ones.

If you received your first rejection today, don't let it discourage you. Read the feedback carefully, identify what you could have done differently, improve your workflow, and move on to the next target. Bug bounty is a long-term learning process, not a race to find a critical vulnerability overnight. Consistency, curiosity, and continuous improvement are far more valuable than short-term success. Keep learning, keep testing legally, and treat every rejection as another step toward becoming a better security researcher.

About the Author

Amardeep Maroli

MCA (Master of Computer Applications) — PES University, Bengaluru
Cybersecurity Intern — Inhok Technologies
TryHackMe — Top 2% Globally (160+ completed labs, Jr Penetration Tester certified)
Certifications: CTIGA, CRTOM, CSEDP

Hands-on experience with SIEM tools (Wazuh, ELK Stack, Splunk), cloud security, and network penetration testing. I document my cybersecurity research at TechWithAmardeep.

Bug Bounty Rejections — FAQs

Does a duplicate report hurt your reputation on HackerOne?
No. Duplicate reports are a normal part of bug bounty hunting and generally do not damage your reputation. They simply mean another researcher submitted the same issue before you. In my experience, duplicates taught me to focus on newer programs, test less common attack surfaces, and submit reports as soon as I confirmed a vulnerability instead of waiting to perfect every detail.
Should I appeal a rejected report?
Yes—but only if you have new technical evidence. If a report is rejected because the impact wasn't clear or the proof of concept was incomplete, politely provide additional screenshots, reproduction steps, or a better business impact explanation. However, if the program clearly states the issue is out of scope or intentionally accepted, repeatedly arguing rarely changes the outcome. Treat every rejection as a learning opportunity rather than a personal failure.
How many rejections is normal before your first bounty?
There is no fixed number. Many successful bug bounty hunters receive dozens of rejections, duplicates, or informational findings before earning their first reward. During my first few months, I learned far more from rejected reports than accepted ones. The important metric isn't how many reports are rejected—it's whether you're improving your methodology after each rejection.
Should I keep a personal tracker of my reports?
Absolutely. Keeping a report tracker helped me identify patterns in my mistakes. I record the program name, submission date, vulnerability type, report status (Duplicate, Informational, Out of Scope, Accepted, or Rewarded), severity, platform, and the lesson learned from each submission. Reviewing this tracker regularly helped me avoid repeating the same mistakes and improved my report quality over time.
Tags: bug bounty rejected report, HackerOne duplicate, bug bounty out of scope, bug bounty informational, bug bounty rejection reasons, bug bounty India 2026

Have you had a rejection that taught you something? Drop it in the comments — the most useful threads on this blog are the ones where people share what didn't work.

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