![]() ![]() # Input will be the tcp port specified, mikrotik config will be shown later. Now that we have the patterns, let's create the pipeline and define the fields to populate. MIKROTIK_DISCO_REASON extensive\ data\ loss|group\ key\ exchange\ timeout|received\ deauth:\ unspecified\ \(1\)|received\ disassoc:\ sending station\ leaving\ \(8\)|ok|received\ deauth:\ sending\ station\ leaving\ \(3\) MIKROTIK_RELEASED_IP released|releasing address|deassigned MIKROTIK_TRAFFIC_FLOW traffic\ flow\ target\ removed MIKROTIK_PACKET_RETRANSMISSION packet\ is\ retransmitted MIKROTIK_PEER_NOT_COMPLIANT Unity\ mode\ config\ request\ but\ the\ peer\ did\ not\ declare\ itself\ as\ \ unity\ compliant MIKROTIK_FAILED_PROPOSAL failed\ to\ get\ valid\ proposal|failed\ to\ pre\-process\ ph1\ packet|phase1\ negotiation\ failed|no\ suitable\ proposal\ found The default audit log path, C:WindowsSystem32dhcp, is architecture-specific. MIKROTIK_TOPIC wireless|info|ipsec|interface|error|dhcp|system|account|critical The DHCP audit log can be configured with PowerShell or the DHCP Management MMC snap-in. Here are some custom patterns I wrote for my pattern matching: The following is my example which might not fit your needs. You can check them in the grok debugger and create your own filters and mapping. That means a message that the remote logging will send to Logstash will look like this:įirewall,info forward: in:lan out:wan, src-mac aa:bb:cc:dd:ee:ff, proto UDP, 172.31.100.154:57061->109.164.113.231:443, len 76 Mikrotik Logs are a bit difficult since they show you Data in the interface which is already enriched with Time / Date. ![]() Start by getting the Log Data you want to structure parsed correctly. ![]() You'll need a working Elasticsearch Cluster with Logstash and Kibana. This is only about the setup of different logging, one being done with Filebeat and the other being done with sending logging to a dedicated port opened in Logstash using the TCP / UDP Inputs. ![]()
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