#Filebeats set document id download#

Using the table headers to sort the count by reverse order, we find the rare commands, which again, might be interesting since we see things like cat, touch, useradd, and whoami, some commands that might imply discovery and creation of users for persistence on the elk-stack system. I launch the visualize tab, created a simple visualization of hosts and process names and generated a table like this. There’s a lot to learn here, but getting started is pretty easy and there are resources like this and this. The rarer ones are often more interesting, so I’ll keep those in mind.Īn extremely useful way to search data in Kibana is to make visualizations. Now let’s toggle the source_ip field and add that to our table, we see two IPs, 49.2.23.100 and 134.122.125.130. Since we know SSH is exposed, let’s find sucessful SSH connections using a query like agent.hostname:sshbox AND event.dataset:login AND event.outcome:success. Toggle the number until you end uip with a nice balance.

If you scroll down now, you’ll see more rows, but this will slow down requests. Open the Gear at the left in a new tab > Advanced settings > Discover > Number of Rows and set it to 10000. I wouldn’t necessarily make this change in production without testing, but you can go to Kibana settings and see much more. If you go to the very bottom, you see you’re limited to 500 events. I’ll start with these fields and add more as I think I need them. If we go to the auditbeat-* index pattern, we can build a table that’s useful for looking at these processes. One value sticks out pretty sorely, 4294967295, and that may or may not be something, just keep it in mind. If we look at the field and the user.name field, we might find who has been on the system. Since we have a timeline and we know one system, according to the prompt, is web facing, let’s start with the ssh box with the search agent.hostname:sshbox. In this case, we know we have an SSH box and a system running the elastic stack (elasticsearch, kibana, and logstash presumably). Checkign in the agent.hostname field is a good place to start because we can get an idea of what’s been reporting logs and what logs they might offer. It defaults to 2 years ago to ~10 months ago, you can expand around but that’s all there is.įirst we check the indexes, and there are a few, auditbeat-*, filebeat-*, and kibana_sample_data_logs. Once you access the Kibana homepage, you can see a pretty obvious slice of time we’ll be focusign on. I am using the latest version of VirtualBox and it comes ready to go once you launch it, browse to and you’re off to the races.

#Filebeats set document id download#

The instructions are pretty straight forward, download the VM, expand it, run it, and log in. Please recover the information requested in these challenges so we can piece together what happened.

Our network is composed of one box that is front facing with an SSH port open to the web and a second server behind it running an old Elastic Stack. The attack appears to have taken place on the 25th of May between 9am and 11:30am. What I have to change in my configurations.Overnight we've had an attack on our network, we have two devices in the cloud and it appears both have been compromised. Index => => this case filebeat did not send information because Ssl_key => '/etc/pki/tls/private/logstash-forwarder.key' Ssl_certificate => '/etc/pki/tls/certs/logstash-forwarder.crt' Registry_file: /var/lib/filebeat/registryĬertificate_authorities: # - /var/log/auth.log #if uncomment, filebeat will send auth logs My currently working system can send system logs.

Please help me change configuration in filebeat and Logstash to send Java errors, info etc.