This will start an Osmedeus instance listening on port 5000:
$ docker run -d -p 5000:5000 --name osmedeus snowsecurity/osmedeus
In case you want to persist the results of your analysis, you can create a volume for that purpose:
$ docker volume create osmedeus_workspaces
$ docker run -d -p 5000:5000 --name osmedeus -v osmedeus_workspaces:/root/.osmedeus/workspaces snowsecurity/osmedeus
Now you can interact with Osmedeus from the CLI using the --client parameter:
$ docker exec -it osmedeus ./osmedeus.py --client -t example.com
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