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honeypots: Network Traffic & Credentials Monitoring

Honeypots provides customizable emulated services like HTTP, DNS, and FTP to monitor network traffic and capture malicious activities. This package offers a comprehensive collection of honeypots for security analysis.
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Honeypots is a Python package offering a collection of 30 emulated services designed for network monitoring and threat intelligence. It allows users to deploy various honeypots—including common services like HTTP, FTP, DNS, and more—to attract and analyze malicious activity. The package provides a simple and customizable way to emulate these services with detailed logging and options for capturing attacker commands and credentials.

The package easily emulates a wide range of services in a single, unified package. It's designed for fast setup with minimal configuration. The flexibility to capture commands and user data is useful for deeper threat analysis. It supports various logging methods like file, syslog, and Postgres databases.

  • Service Variety: Supports a wide array of emulated services (HTTP, SSH, DNS, etc.) for comprehensive monitoring.
  • Easy Configuration: Simple configuration through command-line arguments and JSON configuration files.
  • Data Capture: Options for capturing attacker commands, usernames, passwords, and other relevant information.
  • Flexible Logging: Supports logging to various destinations including files, Syslog, and Postgres databases.
  • Extensible: Allows custom configuration and options for each honeypot instance.

The Honeypots project has been actively developed and maintained since 2021, with ongoing updates and feature additions. It has a significant number of stars and forks, indicating community interest. The extensive documentation and example usages suggest a relatively stable and reliable project. Recent commits demonstrate continued development.

Security analysts and network administrators benefit from Honeypots by providing a practical tool for detecting and analyzing malicious activity on their networks. It offers a cost-effective way to gather threat intelligence and understand attacker behavior. It provides a valuable alternative or complement to manual network monitoring and intrusion detection methods.

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Stars
974
Forks
139
Issues
13
Created
5 years ago
Commit
7 months ago
License
AGPL-3.0
Archived
No
Updated 17 days ago

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