EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 3·5 min read
Show HN: Nightcrawler – A local AI pentesting agent running on a smartphone
TL;DR
Nightcrawler is an autonomous penetration testing agent that operates entirely on a smartphone, enabling users to drop the device on a network and walk away while it identifies vulnerabilities and generates reports. This innovative tool uses a local AI model, eliminating the need for cloud connectivity.
✦ Why It Matters
Consider using Nightcrawler for your next pentest to streamline vulnerability assessments.
Key Takeaways
- Utilize Nightcrawler for efficient mobile penetration testing.
- Ensure you have written permission before deployment.
- Leverage the local AI model for stealthy network assessments.
- Explore the web dashboard for real-time monitoring and control.
How It Works
Nightcrawler operates by autonomously selecting targets and executing commands based on a weighted random selection process. It uses a local AI model to decide the next action, ensuring that commands are validated against a defined scope to prevent unauthorized actions.
The agent learns from its interactions, gradually building knowledge about the network and its vulnerabilities.