4 papers
Agentic Fuzzing: Opportunities and Challenges
Junyoung Park, Insu Yun
Fuzzers and static analyzers find many bugs but struggle with logic bugs in mature codebases. Triggering such a bug often requires multi-step reasoning that produces no distinctive…
CTFusion: A CTF-based Benchmark for LLM Agent Evaluation
Dongjun Lee, Ga-eun Bae, Insu Yun
Recent advances in Large Language Models (LLMs) have enabled agentic systems for complex, multi-step tasks; cybersecurity is emerging as a prominent application. To evaluate such a…
PatchIsland: Orchestration of LLM Agents for Continuous Vulnerability Repair
Wonyoung Kim, Seunggi Min, Minjae Gwon +11
Continuous fuzzing platforms such as OSS-Fuzz uncover large numbers of vulnerabilities, yet the subsequent repair process remains largely manual. Unfortunately, existing Automated…
Takedown: How It's Done in Modern Coding Agent Exploits
Eunkyu Lee, Donghyeon Kim, Wonyoung Kim +1
Coding agents, which are LLM-driven agents specialized in software development, have become increasingly prevalent in modern programming environments. Unlike traditional AI coding…