Nebula AI: Automating Pen Testing & Vulnerability Assessments

A new open-source security tool called Nebula is bringing large language models directly into the penetration tester’s terminal. Developed by BerylliumSec, Nebula integrates AI models into the command-line interface. This allows ethical hackers to automate vulnerability assessments and generate exploit scripts. What's interesting is Nebula supports multiple AI backends, including OpenAI models, Meta’s Llama-3.1-8B-Instruct, and Mistral AI. It works with existing security tools like Nmap or Metasploit. The platform offers AI-powered internet search, automated note-taking, and real-time exploitation suggestions. Users interact with the AI by prefixing commands or toggling a dedicated AI mode. Nebula requires at least 16GB RAM and Python 3.10–3.13.9 for CPU-based inference. BerylliumSec also introduced the Deep Application Profiler, a malware analysis service that uses neural networks to detect zero-day malware. The bottom line is this tool could significantly enhance the efficiency and effectiveness of cybersecurity professionals.