Researchers used Claude to hack OpenAI systems

A group of cybersecurity specialists successfully applied the Claude model from Anthropic to find and exploit vulnerabilities in OpenAI's infrastructure. During the experiment, the experts gained unauthorized access to employee accounts and the company's internal source code repository.

Throughout the attack, the neural network analyzed the system structure and helped automate the writing of exploits to bypass protection mechanisms. The use of generative AI allowed the researchers to reduce the time spent searching for critical penetration vectors that had previously gone unnoticed by standard scanning tools.

After completing the operation, the team submitted a report on the discovered security holes to OpenAI representatives for their prompt elimination. The incident confirms the possibility of using LLM as an active tool for conducting complex cyberattacks that require in-depth code analysis and logic of service interaction.

This case highlights the need to revise security protocols for major AI companies. System developers are now forced to consider not only traditional hacking methods but also the ability of neural networks to find non-standard vulnerabilities in closed corporate environments.