OpenAI Increases Bug Bounty Rewards to 00k for Critical Vulnerabilities

OpenAI has significantly increased its bug bounty rewards to $100,000 for critical web and infrastructure vulnerabilities via Bugcrowd. However, it’s crucial to read the fine print—this reward applies only to high-severity issues affecting OpenAI’s web and infrastructure security.

🔗 References:

• OpenAI Bug Bounty Program
• Bugcrowd Submission Guidelines

You Should Know:

1. Understanding OpenAI’s Bug Bounty Scope

• Only web and infrastructure vulnerabilities qualify (e.g., RCE, SSRF, SQLi, Auth Bypass).
• Exclusions: AI model flaws, low-risk UI bugs, or theoretical attacks without PoC.

2. How to Hunt for Critical Bugs

• Recon & Enumeration:

  nmap -sV --script vuln api.openai.com 
  subfinder -d openai.com | httpx -status-code 
  

• Testing for SSRF:

  ffuf -u "https://api.openai.com/v1/endpoint?url=FUZZ" -w ssrf-payloads.txt 
  

• Auth Bypass Testing:

  import requests 
  headers = {"Authorization": "Bearer invalid_token"} 
  response = requests.get("https://api.openai.com/v1/user", headers=headers) 
  print(response.text) 
  

3. Submitting a Winning Report

• Steps:

1. Reproduce the bug with clear steps.

2. Document impact (e.g., data leakage, system compromise).

1. Provide a fix (optional but increases payout chances).

– Bugcrowd CLI for submission:

bugcrowd submit --title "RCE via API Misconfiguration" --description "..." --severity critical 

4. Maximizing Your Reward

• Focus on OAuth misconfigurations, API abuse, and cloud flaws (AWS/GCP).
• Use Burp Suite or Postman for API testing:

  POST /v1/chat HTTP/1.1 
  Host: api.openai.com 
  {"prompt":"<malicious_input>"} 
  

What Undercode Say:

OpenAI’s increased bounty signals a focus on securing AI infrastructure. Hunters should:
– Prioritize automation (e.g., nuclei -t ssrf.yaml -u openai.com).
– Leverage Linux tools (grep -r "secret_key" /var/log/openai).
– Monitor API docs for new endpoints (curl -s https://api.openai.com/v1/docs | jq .paths).
– Windows admins can audit OpenAI-integrated apps via:

Get-Process | Where-Object { $_.Path -like "*openai*" } 

Final Tip: Always test rate-limiting and file uploads—common oversights in high-value programs.

Expected Output:

A well-documented bug report with:

• “SSRF in OpenAI API leading to internal AWS metadata exposure”
• CVSS: 9.2 (Critical)
• Proof: Curl command + response screenshot.
• Fix: Input validation on user-supplied URLs.

Note: Replace placeholder URLs with actual OpenAI endpoints during testing. Happy hunting! 🚀

References:

Reported By: Jhaddix Yes – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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