AIIDE Security Assessment: Testing Security of AI-Powered Development Environments
Published:
Overview
During my summer research project at Coalfire, I conducted a security assessment of AI-integrated development environments. This research focused on identifying vulnerabilities in AI-powered IDEs that could lead to unauthorized access, data exfiltration, and system compromise, as well as testing their susceptibility to prompt injection with the hopes of being able to interact with the IDE maliciously.
Full write-up coming soon
The full technical report with detailed methodology and proof-of-concept code is available upon request.