Acunetix
Web vulnerability scanner for automated security testing of websites and web apps
Nebula
AI-driven CLI assistant that automates penetration testing workflows
Nebula adds LLMs to the CLI, delivering real‑time vulnerability insights, automated note‑taking, internet research, and tool integration for security teams.
Overview
Highlights
AI‑Powered Internet Search via agents for up‑to‑date security context
Automated note‑taking and command logging for comprehensive reports
Real‑time AI insights derived from terminal tool outputs
Integrated screenshot capture and annotation within the CLI
Pros
- Supports multiple LLM providers (OpenAI, Meta, Mistral, DeepSeek)
- Automates documentation and reduces manual reporting effort
- Enhances existing CLI tools with AI‑driven suggestions
- Can run locally via Ollama for privacy‑focused environments
Considerations
- Requires at least 16 GB RAM and Python 3.11+
- Initial model setup (Ollama or API keys) may be complex for newcomers
- Limited to command‑line interfaces; no native graphical UI
- Advanced autonomous features are only available in Nebula Pro
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Fit guide
Great for
- Penetration testers who already use CLI utilities
- Security teams needing automated reporting and note‑taking
- Researchers analyzing executables with the Deep Application Profiler
- Developers wanting AI‑augmented security checks in their pipelines
Not ideal when
- Users with less than 16 GB RAM or older hardware
- Organizations that require a full graphical dashboard
- Beginners unfamiliar with LLM configuration and API keys
- Environments where external API access is prohibited
How teams use it
Rapid vulnerability enumeration during a red‑team engagement
Nebula parses nmap output, suggests exploit paths, and logs findings automatically.
Automated note‑taking while running Metasploit modules
All commands and observations are captured, with AI‑generated summaries for the final report.
Zero‑day malware analysis using Deep Application Profiler
DAP provides structural breakdown, and Nebula’s AI offers remediation suggestions.
Live internet research for emerging CVEs
Agent‑driven search fetches latest advisories, feeding AI context for exploit prioritization.
Tech snapshot
Python93%
HTML3%
CSS3%
Dockerfile1%
Shell1%
Frequently asked questions
Do I need an OpenAI API key?
Only if you want to use OpenAI models; otherwise you can run local models via Ollama.
What are the system requirements?
Minimum 16 GB RAM, Python 3.11+, and Ollama installed for local inference.
Can Nebula run inside Docker?
Yes, a Docker image is provided; you need to expose the X server for screenshot features.
Is there a free version?
The core Nebula tool is free under the BSD‑2‑Clause license; Nebula Pro adds extra features and is a separate offering.
How does Nebula store logs and notes?
Logs are written to ~/.local/share/nebula/logs and can be reviewed or exported.
Project at a glance
Active- Stars
- 853
- Watchers
- 853
- Forks
- 124
LicenseBSD-2-Clause
Repo age2 years old
Last commit2 months ago
Primary languagePython
Last synced yesterday