The repository provides detailed setup and usage instructions, including how to use Docker, Metasploit Modules, Nuclei Templates, and CSRF Templates. It also invites contributions from users and is licensed under the Apache 2.0 License. The ultimate goal of the repository is to mitigate the risk of system takeovers and loss of sensitive data, models, or credentials due to these vulnerabilities.
Key takeaways:
- The AI world has a security problem that extends beyond just the inputs given to LLMs such as ChatGPT, affecting the tools, libraries, and frameworks used to build, train, and deploy machine learning models.
- Protect AI has released a repository called "ai-exploits" to raise awareness about practical attacks against AI/Machine Learning infrastructure and the amount of vulnerable components that currently exist in the AI/ML ecosystem.
- The "ai-exploits" repository is a collection of exploits and scanning templates for responsibly disclosed vulnerabilities affecting machine learning tools, which can be used by security professionals to exploit the vulnerabilities and scan a large number of remote servers to determine if they're vulnerable.
- Protect AI provides detailed instructions on how to use the modules and scanning templates in the repository, including how to build and run the Docker image, how to use the Metasploit modules, how to use Nuclei templates, and how to use CSRF templates.