An easy installer for The Hive on Centos
Be aware that TheHive and ElasticSearch require some hardware specifications.
TheHive uses ElasticSearch to store data. Both software use a Java VM. We recommend using a virtual machine with 8vCPU, 8 GB of RAM and 60 GB of disk. You can also use a physical machine with similar specifications.
Simply call the script like so:
./thehive_installer_centos.sh
It will automatically download TheHive and ElasticSearch and install them. However, you will need to setup ElasticSearch and TheHive before working with it.
First, you will need to setup your ElasticSearch so that TheHive can use it properly. To do so, follow the instructions provided here.
We will consider that ElasticSearch and TheHive run on the same environment. Simply edit /etc/elasticsearch/elasticsearch.yml
and add the following lines:
network.host: 127.0.0.1
network.port:9200
script.inline: true
cluster.name: hive
thread_pool.index.queue_size: 100000
thread_pool.search.queue_size: 100000
thread_pool.bulk.queue_size: 100000
Then you can enter the following commands:
sudo systemctl enable elasticsearch.service
sudo systemctl start elasticsearch.service
sudo systemctl status elasticsearch.service
Check that the service is running well with the sudo systemctl status elasticsearch.service
command. If so, you can check that ElasticSearch is running with the following command:
curl 'http://127.0.0.1:9200/?pretty'
You should get this kind of response. If so, your ElasticSearch is well configured !
{
"name" : "Tom Foster",
"cluster_name" : "elasticsearch",
"version" : {
"number" : "2.1.0",
"build_hash" : "72cd1f1a3eee09505e036106146dc1949dc5dc87",
"build_timestamp" : "2015-11-18T22:40:03Z",
"build_snapshot" : false,
"lucene_version" : "5.3.1"
},
"tagline" : "You Know, for Search"
}
TheHive provides an entire documentation on how to setup it properly. Just follow this guide.
TheHive needs a link with a MISP instance to analyse attachements. Just follow this guide to install MISP and then this other guide to configure it for TheHive.