With the rise of large language models (LLMs), AI systems are now capable of identifying software vulnerabilities and generating exploit code—skills that align closely with the goals of Capture the Flag (CTF) competitions, where participants solve security challenges to uncover hidden “flags.”

In this competition, your task is to build your own agentic AI to solve CTF challenges autonomously—that is, create or extend an AI agent powered by LLMs to analyze and exploit challenges without human intervention. You may either bring your own agent framework or enhance a provided baseline agent, with technical support available. Your agent can leverage LLMs, either API-based models such as GPT, Claude and Gemini, or open-source models deployed locally to navigate common CTF categories such as crypto, forensics, pwn, reverse, web, and misc.

A successful submission includes the full logs of prompts and model responses, along with a brief write-up describing your prompting strategies, agent enhancements, and system design choices.