huntr

Categories: Cybersecurity, Coding & Developer Tools | Pricing: Free | Official Website ↗

huntr is the world's first bug bounty platform specifically designed for AI/ML open-source applications, libraries, and model file formats.

huntr provides a centralized platform for security researchers to submit vulnerabilities found in AI/ML systems, ensuring their security and stability. It facilitates the disclosure, validation, and reward process for these specialized vulnerabilities, including the awarding of CVEs for open-source reports. The platform aims to secure the rapidly growing AI/ML ecosystem by connecting researchers with maintainers.

Key Features

Dedicated bug bounty platform for AI/ML vulnerabilities
Streamlined vulnerability submission and validation process
Rewards for valid vulnerability reports (bounties and CVEs)
Support for securing AI/ML open-source apps, libraries, and model file formats
Public disclosure of open-source vulnerabilities after 90 days

Pros

First dedicated platform for AI/ML bug bounties
Helps secure critical AI/ML open-source projects
Provides a clear process for researchers to report vulnerabilities and earn rewards
Awards CVEs for open-source reports, enhancing researcher recognition

Cons

Specific pricing model for programs is not immediately clear
Currently does not support researcher-submitted patches for fix bounties
Limited information on the website regarding the AI/ML tools used internally by huntr

Use Cases

Reporting security vulnerabilities in AI/ML models or frameworks
Earning bounties for discovering and disclosing AI/ML security flaws
Securing open-source AI/ML projects against potential attacks
Gaining CVEs for contributions to AI/ML security

Best For

AI/ML security researchers
Maintainers of AI/ML open-source projects and libraries
Organizations developing or using AI/ML models and applications
Companies seeking to enhance the security posture of their AI/ML assets

Integrations: Palo Alto Networks, Prisma AIRS

Platforms: Web

Watch demo on YouTube ↗

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