How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
The Artillery Project is an open-source blue team tool designed to protect Linux and Windows operating systems through multiple methods.
The main features of binarydefense/artillery are: Honeypot Management, Host Security Tools.
Projects with overlapping indexed features include: hacklcx/hfish — HFish is a distributed honeypot system and network intrusion detection tool designed to deploy decoy services and… telekom-security/tpotce — T-Pot is a multi-honeypot platform and threat intelligence framework that deploys a collection of containerized decoy… andrewmichaelsmith/manuka — Docker based honeypot (Dionaea & Kippo). balte/telnethoney — A simple telnet honeypot. bartnv/portlurker — Port listener / honeypot in Rust with protocol guessing and safe string display. androguard/androguard — Reverse engineering and pentesting for Android applications.
HFish is a distributed honeypot system and network intrusion detection tool designed to deploy decoy services and nodes to detect and analyze attacker behavior. It functions as a deceptive asset orchestrator that simulates enterprise services and configures custom baits to lure network intruders. The system utilizes a server-client architecture to manage distributed nodes across different platforms, allowing for centralized control of telemetry collection and decoy deployment. It incorporates cloud-based traffic routing to redirect suspicious network activity into managed decoy environments f
T-Pot is a multi-honeypot platform and threat intelligence framework that deploys a collection of containerized decoy services to capture attacker behavior and network telemetry. It functions as a Docker-based deception system, simulating vulnerable network environments to gather intelligence on threat actors. The system features a distributed sensor network using a hub-and-spoke architecture, allowing remote sensors to transmit logs back to a central management hub. It integrates large language models to create a dynamic deception engine capable of adaptive interactions with attackers. The
Reverse engineering and pentesting for Android applications
