How to Submit Quality Bug Bounty Reports to GitHub (and Avoid Common Pitfalls)

Introduction

With GitHub's recent shift in its bug bounty program — scaling back cash rewards for low-severity findings and emphasizing user responsibility — security researchers must adapt their approach. The platform now prioritizes reports that demonstrate real security impact and penalizes low-quality or out-of-scope submissions, especially those generated by AI without thorough human review. This guide walks you through the steps to create thorough, actionable vulnerability reports that stand out and abide by GitHub's new guidelines.

What You Need

• A valid GitHub account
• Basic understanding of web security (e.g., OWASP Top 10, common attack vectors)
• Access to GitHub's public repositories for testing (optional but recommended)
• Optional but useful: automated scanning tools (e.g., Burp Suite, OWASP ZAP) or AI assistants — but remember to review all AI output manually
• Familiarity with GitHub's list of ineligible reports (linked below)

1. Understand GitHub's security boundary and scope
   GitHub clearly defines what constitutes a valid security vulnerability. Reports describing scenarios where a user voluntarily interacts with malicious content (e.g., cloning a malicious repo, opening a crafted file, asking an AI to analyze untrusted code) are considered out of scope. The security boundary lies with the user's decision to trust that content, not GitHub's controls. Study the official bug bounty scope page to know exactly what's in bounds.
2. Focus on real security impact, not just 'hardening opportunities'
   GitHub distinguishes between minor improvements (e.g., documentation gaps, best-practice hardening) and genuine vulnerabilities that could lead to data breach, privilege escalation, remote code execution, etc. Low-impact submissions now earn only swag, so aim for findings that clearly bypass security controls.
3. Avoid out-of-scope scenarios
   Many submissions describe attacks that require the victim to seek out attacker-controlled content. For example, if a user clones a malicious repository and gets compromised, that is not GitHub's fault. Ensure your report demonstrates a flaw in GitHub's infrastructure, not user negligence or third-party content.
4. Validate AI-generated findings manually before submitting
   GitHub welcomes AI use as a "force multiplier" but insists on human review. All submissions generated with AI tools must be checked for accuracy and a working proof of concept. Automated noise floods the system and is filtered out. If you use AI, include your manual analysis steps and demonstrate that the issue is reproducible.
5. Review the list of ineligible reports (and the low-quality criteria)
   GitHub publishes a list of types of reports that are not eligible for bounties: theoretical attacks without a PoC, issues that are already known, and trivial misconfigurations. Also, low-quality reports — those lacking clear steps, missing context, or describing non-exploitable scenarios — are declined. Check this list before writing your report.
6. Include a clear proof of concept (PoC) and reproduction steps
   A valid PoC is essential. Provide step-by-step instructions, HTTP requests, code snippets, or screenshots that fully demonstrate the vulnerability. Explain the security impact in concrete terms: what an attacker can achieve, the attack surface, and potential damage.
7. Write a clear, concise report with proper context
   State what the issue is, where it occurs, how to reproduce it, and why it matters. Avoid buzzwords or hype. If the issue is a chain of weaknesses, explain each link. Use neutral technical language.
8. Refrain from submitting multiple small, similar issues
   Group related findings into one report. Submitting dozens of minor variations (e.g., same bug on different pages) overwhelms the triage team and lowers report quality.
9. Stay updated with GitHub's bounty program changes
   The program evolves — like the recent shift to swag for low-impact reports. Follow GitHub's security blog and official announcements to align your submissions with current expectations.

Common Ineligible Report Types (Abbreviated)

• Theoretical attacks without a working PoC
• Issues requiring victim interaction with attacker-controlled content
• Server misconfigurations that are not exploitable
• Self-XSS or attacks that require social engineering
• Duplicate reports (check existing publications)

Tips for Success

• Quality over quantity: One well-researched report is worth a hundred low-effort ones.
• Use AI wisely: Automate scanning, but always manually validate and contextualize findings.
• Learn from rejected reports: If GitHub cites scope or reproducibility issues, adjust your future methodology.
• Build a relationship with the team: Consistent high-quality reports can lead to invitations to private programs.
• Remember the user's responsibility: GitHub expects users to avoid engaging with malicious content. Frame your report around controls GitHub can fix, not user behavior.

By following these steps, you'll produce reports that stand out, contribute to real security improvements, and maximize your chances of earning bounties — even in GitHub's refined program.