Nebula AI-Powered Penetration Testing Platform Automates Vulnerability Assessments
Nebula AI-Powered Penetration Testing Platform Automates Vulnerability Assessments
https://cybersecuritynews.com/nebula-ai-penetration-testing/
Publish Date: 2026-07-05 02:46:00
Source Domain: cybersecuritynews.com
A new open-source security tool is bringing large language models directly into the penetration tester’s terminal. Nebula, developed by BerylliumSec, integrates state-of-the-art AI models into the command-line interface, allowing ethical hackers and security professionals to automate vulnerability assessments, generate exploit scripts, and maintain engagement documentation without switching contexts.
Nebula supports multiple AI backends, giving users flexibility based on infrastructure and privacy needs. Supported models include OpenAI’s API-accessible models, Meta’s Llama-3.1-8B-Instruct, Mistral AI’s Mistral-7B-Instruct-v0.2, and DeepSeek-R1-Distill-Llama-8B.
Local inference is handled through Ollama, which supports both CPU and GPU execution, while cloud-based models can be accessed via API keys.
The tool works alongside any CLI-invokable security utility, meaning testers can pair it with existing toolchains like Nmap, Metasploit, or custom scripts rather than replacing established workflows.
Nebula Penetration Testing Platform
- AI-powered internet search agents that pull real-time cybersecurity context into responses
- Automated note-taking that categorizes findings during live engagements
- Real-time exploitation suggestions based on terminal tool output
- External tool data import for AI-assisted analysis
- Built-in screenshot capture and annotation for documentation
- A status feed panel that refreshes every five minutes to show recent testing activity
Users interact with the AI by prefixing commands with “!” or toggling a dedicated AI/Terminal mode button, letting them move fluidly between manual terminal work and AI-assisted queries.
Installation and Requirements
Nebula requires at least 16GB RAM and Python 3.10–3.13.9 for CPU-based inference via Ollama. Installation is handled through pip:
textpython -m pip install nebula-ai –upgrade
For local models, users install Ollama, pull a model (e.g., ollama…
