# Preparing a VM Honeypot host Seedata is able to deploy "honeypot" seeds to a host that you have already commissioned in your cloud hosting platform. Instructions for how to plant a VM honeypot seed are here: We used to require the VM host to have additional IP addresses, and this needed to be done in specific and varied ways, depending on what cloud platform you used, hence the need for this page. We felt this was a little complicated, and failed to meet our objective to be the "easiest ever" deception platform. So, we binned it. This page now acts as a gravestone; a reminder of what was temporarily necessary, and a place for us to define the simple pre-requisites we have adopted. Once you've met these prerequisites, all instructions related to planting a VM honeypot seed are now on the link above... You're welcome :-) ## VM Honeypot Prerequisites This is what you must have in place, before starting to plant a seed * The host must have a minimum spec of 1 vCPU, 0.5 GB of ram and 1GB of storage (equivalent to Amazon t2-micro) * The host should be built with default installation of Linux Ubuntu 22.04 (default, as in vanilla, not customised, just basic, typical) * The host must be given network visibility to the subnets you wish to monitor. This means IP addresses with appropriate routes and firewall rules to allow the host to receive network from your intended scope of sources (internal and external, if desired) * The host must have a route outbound to the internet * You must be able to SSH to the host, as a user with sudo privileges That's it! Once you've built the host, go [here](/tutorials/planting-a-vm-honeypot-seed.md) and plant your VM honeypot seed --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.seedata.io/tutorials/preparing-a-vm-honeypot-host.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.