I built a vulnerable app and spent $1,500 seeing if LLMs could hack it
A security researcher tested various large language models to see if they could successfully exploit a vulnerable book review application. The study aimed to determine if AI agents could replicate common security vulnerabilities in real-world software.
Why it matters
This research highlights the evolving role of AI in cybersecurity, both as a tool for automated vulnerability discovery and as a potential vector for malicious exploitation.
As a part of my work I do security research for various apps and websites. I wanted to see if LLMs could reproduce a common class of exploits I’ve found in multiple apps.
The article is a technical case study focused on empirical testing without political or social commentary.
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