Injection Vulnerabilities in LLM-Generated Code

This presentation explores the analysis of injection attacks, focusing on vulnerabilities in code generation through large language models (LLMs). It covers injection risks, security implications, and best practices, outlining methodologies such as sampling, analysis tools, and dynamic vulnerability testing. Key insights from static and dynamic analyses are shared, alongside a comparison of vulnerabilities. The presentation concludes with prevalent security challenges, recommendations for...