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Nebula - AI Security Tool

Overview

Nebula is an open-source, AI-driven penetration testing assistant that brings large-model capabilities directly into a command-line workflow. According to the project's GitHub repository (https://github.com/berylliumsec/nebula), Nebula automates reconnaissance, note-taking, and vulnerability analysis to help security professionals accelerate assessments and maintain structured findings. It is built to integrate model providers such as OpenAI and Ollama, letting analysts use generative models for summarization, triage suggestions, and contextual enrichment of raw scan output. Designed for use by pentesters, red teams, and security operations practitioners, Nebula focuses on repeatable, CLI-first workflows that can be scripted or combined with existing toolchains. The project emphasizes automation of routine tasks (recon and report drafting) while surfacing model-driven insights to assist human analysts in prioritization and remediation guidance. Because it is published on GitHub as an open-source project, organizations can inspect, extend, or integrate Nebula into internal pipelines and customize model backends and prompts to match their threat models and compliance requirements.

Installation

Install via docker:

git clone https://github.com/berylliumsec/nebula.git
cd nebula
docker build -t nebula .
docker run --rm -it nebula --help

Key Features

  • AI-assisted reconnaissance automation for faster target discovery and context collection
  • Integrated AI note-taking to summarize findings and maintain structured assessment logs
  • AI-powered vulnerability analysis that suggests triage and remediation guidance
  • Command-line interface integrating OpenAI, Ollama, and other model providers
  • Workflow automation to streamline repeatable vulnerability assessments and reporting

Community

Nebula is maintained as an open-source project on GitHub (https://github.com/berylliumsec/nebula). The repository serves as the primary hub for issues, pull requests, and contribution guidance. Users and contributors typically interact via issues and PRs to report bugs, request features, and share integrations or prompts; review the project README and issue tracker on GitHub for current activity and contribution instructions.

Last Refreshed: 2026-01-09

Key Information

  • Category: Security
  • Type: AI Security Tool
Visit Official Website

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