Reporting to the NASA Vulnerability Disclosure Program on Bugcrowd is an incredibly rewarding experience. The security team is highly professional, and they genuinely value the efforts of the community in keeping their massive infrastructure secure. Receiving Hall of Fame recognition and a Letter of Appreciation from NASA is a fantastic milestone for any security researcher. When tackling a scope as vast as NASA's, you don't need to rely on noisy automated scanners. My biggest piece of advice for this program is to master Google Dorking. Advanced dorking is arguably the most powerful technique you can use here. It allows you to sift through the noise, map out forgotten assets, and identify edge cases or misconfigurations that standard tooling completely misses. If you take the time to refine your search parameters and manually investigate the architecture, you can uncover high-impact issues. I would highly recommend this program to anyone looking to make a meaningful impact and test their manual recon skills!
Rathore
Not enough independently verifiable evidence yet, so there is no score to show.
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Table view
| Month | Reviews |
|---|---|
| December 2025 | 0 |
| January 2026 | 0 |
| February 2026 | 0 |
| March 2026 | 0 |
| April 2026 | 0 |
| May 2026 | 0 |
| June 2026 | 0 |
| July 2026 | 0 |
| August 2026 | 2 |
| September 2026 | 0 |
| October 2026 | 0 |
| November 2026 | 0 |
Programs reviewed
2Reviews
Hunting on Apple requires patience, but verifying a successful fix makes the wait worthwhile. I reported a vulnerability on *.apple.com where a advance client-side response manipulation allowed a complete bypass of the authentication gate. Tracking the status took some proactive follow-up. While their initial response times can feel sluggish compared to standard bug bounty platforms, the Apple Security Team was professional once communication opened up regarding the remediation and potential bounty rewards. The highlight was working through the remediation phase and actively verifying the fix once they patched the flaw. For other researchers targeting Apple: rely heavily on manual testing and business logic over automated scanners, document your reproduction steps flawlessly, and don't be afraid to politely ping them for updates while you wait.