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AI-Powered Vulnerability Discovery Project - Complementary to Trivy's Mission #10916

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@Exploit-Garbage

Hi Aqua Security team,

Great work on Trivy! Your comprehensive vulnerability scanner is essential for cloud-native security.

I want to introduce a complementary project focused on AI-automated discovery of new 0day vulnerabilities:

Project: 0day Rubbish
Repository: https://github.com/Exploit-Garbage/0day-Rubbish

Our Mission:
While Trivy excels at detecting known vulnerabilities, we focus on discovering new vulnerabilities before they're catalogued:

  • AI-driven automated vulnerability discovery (GPT-5.5, Claude Opus 4.8, DeepSeek V4)
  • Direct disclosure of verified 0days with working PoCs
  • Target real-world, widely-deployed systems with actual user bases
  • Provide complete technical analysis for rapid remediation

Current Work: Cisco CUCM RCE Chain (CVSS 9.8)

  • Discovered through AI-powered analysis
  • Full exploitation chain with working exploit
  • Detailed documentation for immediate patching

Synergy with Trivy:
Once vulnerabilities are disclosed and CVEs assigned, they can be integrated into Trivy's database. Our rapid disclosure model helps accelerate the "unknown → known" transition, making tools like Trivy even more effective.

We believe AI-augmented vulnerability research is the future, and projects like ours complement existing scanners by expanding the universe of detectable vulnerabilities.

Check out our approach: https://github.com/Exploit-Garbage/0day-Rubbish

Best regards,
0day Rubbish Team

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