An open-source blue team tool that protects Linux and Windows systems via honeypots, monitoring, and alerting.
Artillery is an open-source blue team security tool that protects Linux and Windows systems by combining honeypot detection, filesystem monitoring, and alerting. It detects attacks like port scans, SSH brute force attempts, and unauthorized file changes, then blacklists malicious IPs and notifies administrators. The tool aims to evolve into a hardening monitoring platform to identify insecure configurations.
System administrators, DevOps engineers, and security professionals responsible for securing Linux and Windows servers who need lightweight, self-hosted intrusion detection and monitoring.
Developers choose Artillery because it provides a simple, integrated solution for multiple defense layers (honeypot, monitoring, alerting) without complex dependencies. Its cross-platform support (Linux and Windows) and straightforward setup via a single script make it accessible for teams needing immediate, proactive security.
The Artillery Project is an open-source blue team tool designed to protect Linux and Windows operating systems through multiple methods.
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Setup is a one-command process with setup.py that automatically installs the tool and configures it to start on boot for both Linux and Windows, as described in the README.
Combines honeypot detection on common attack ports, filesystem monitoring for directories like /var/www, and SSH brute force detection into a single, proactive defense tool.
Runs on both Linux and Windows, allowing consistent security measures across mixed operating system environments without complex dependencies.
Sends configurable email notifications when attacks occur, such as port scans or unauthorized file changes, providing immediate incident awareness.
Critical features like filesystem monitoring and SSH brute force detection are Linux-only, significantly reducing its effectiveness on Windows systems.
Blacklisted IPs must be removed by manually editing banlist.txt files, which is inefficient and error-prone in dynamic or high-traffic environments.
Relies solely on editing text configuration files without a GUI, API, or automation tools, making updates and scalability challenging.