A honeypot designed to detect and log attacks targeting Elasticsearch remote code execution vulnerabilities.
Elastichoney is a honeypot specifically designed to mimic a vulnerable Elasticsearch server, catching attackers who attempt to exploit remote code execution (RCE) vulnerabilities. It logs these attacks to provide insights into exploitation techniques and threat actor behavior. The tool helps in identifying malicious activity targeting Elasticsearch clusters.
Security researchers, system administrators, and DevOps teams responsible for monitoring and securing Elasticsearch deployments against external threats.
It offers a lightweight, easy-to-deploy solution focused solely on Elasticsearch RCE attack detection, with Docker support for containerized environments and configurable logging for flexible integration into security workflows.
A Simple Elasticsearch Honeypot
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Provides binary distributions for major systems and Docker Compose setup, making installation straightforward, as highlighted in the README's installation and Docker sections.
Specifically targets Elasticsearch RCE exploits, offering precise logs for analyzing attack patterns against this service, which is core to its design as a honeypot.
Allows customization of log file location and verbosity through command-line flags, enabling flexible integration into different monitoring workflows, as shown in the usage instructions.
Follows a simple approach with no unnecessary features, reducing overhead and making it suitable for dedicated honeypot instances without complexity.
Only detects Elasticsearch RCE attacks, missing other common exploits or services, which limits its effectiveness in broader security environments.
Logs attacks to files but lacks integrated alerting or notification systems, requiring manual log parsing or external tools for real-time response, as admitted by its focus on logging only.
The README references a blog post from 2015 with no signs of recent updates, suggesting the tool may not address newer threats or vulnerabilities, indicating stagnation.