STRIATUM-CTF: A Protocol-Driven Agentic Framework for General-Purpose CTF Solving

ArXi:2603.22577v1 Announce Type: cross Large Language Models (LLMs) have nstrated potential in code generation, yet they struggle with the multi-step, stateful reasoning required for offensive cybersecurity operations. Existing research often relies on static benchmarks that fail to capture the dynamic nature of real-world vulnerabilities. In this work, we We validate this approach not merely on synthetic datasets, but in a live competitive environment.