Raising the Bar: Quality, Shared Responsibility, and the Future of GitHub's Bug Bounty Program

GitHub stated that while it continues to value collaboration with external security researchers to protect more than 180 million developers and more than 600 million repositories, it will raise the quality standards for its bug bounty program.

Recently, the spread of AI tools has increased submission volume, but this has come alongside a rise in theoretical reports with no real security impact and already-disclosed exclusion items. Going forward, reports lacking a working PoC or clear impact will be scrutinized more strictly, and reports that fail to check the scope and ineligible findings list may be closed as Not Applicable, which can also affect HackerOne Signal and reputation.

Reports should be written short and structured.

• A brief summary
• Reproduction steps and evidence
• The actual impact an attacker would gain

Even when using AI, scanners, or static analysis, final verification remains the researcher's responsibility. AI-assisted reports with verification, reproduction, and a PoC are welcome, but unverified outputs will be treated as noise.

GitHub also re-emphasized its shared responsibility model. Situations where users directly trust and handle malicious repositories, code, files, or prompts are viewed not as a breach of the security boundary but as a user's choice.

• Choosing which repositories, issues, and code to trust is the user's responsibility.
• Code, scripts, and workflows should be reviewed before execution.
• The act of cloning a repository itself is a choice to trust that code.
• Token management and local security settings are also the user's responsibility.

Instead, blind spots that actually bypass real defenses are welcome, and valid reports that, while not of major security impact, lead to code or documentation fixes will now be recognized with GitHub swag. GitHub stated that by reducing noise, it aims to enable faster triage and concentrate rewards on higher-impact research.