kjake/pfmon-docker

•Updated over 1 year ago

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kjake/pfmon-docker repository overview

⁠pfMon - Zero Touch Influx and Grafana for pfSense

This project is a work in progresss, but aims to make it easy to setup InfluxDb and Grafana to show Telegraf stats from a pfSense firewall, including a flexible out-of-the-box dashboard on your Grafana landing page.

Deploy Containers (note Grafana port in Example is 4000 and InfluxDb port is 8088, which are different than their defaults)
From pfSense, install Telegraf on your pfSense firewall from the built-in package manager (only tested on 2.4.x)
From pfSense > Diagnostics > Command Prompt, Upload gateways.py from https://gist.github.com/fastjack/a0feb792a9655da7aa3e2a7a1d9f812f⁠
From pfSense > Diagnostics > Command Prompt, Execute Shell Commands mv /tmp/gateways.py /usr/local/bin/gateways.py and chmod +x /usr/local/bin/gateways.py
Configure Telegraf to send data to your InfluxDb instance
1. Enable Telegraf
2. In Server, enter http://dockerhost:port for your InfluxDb container
3. In Database, enter speedtest (I need to fix this)
4. For username and password, use the INFLUXDB_ADMIN_USER and INFLUXDB_ADMIN_PASSWORD from docker-compose.yml
5. Enable HAProxy, if you use it and set the port if it isn't the default
6. Enable Ping for 8.8.8.8
7. Finally, in Additional configuration for Telegraf paste the below Telegraf input text.

Example Telegraf input for reading pfBlockerNG logs and sending additional gateway info:

[[inputs.exec]]
        commands = ["/usr/local/bin/gateways.py"]
        timeout = "5s"
        data_format = "influx"

[[inputs.logparser]]
  files = ["/var/log/pfblockerng/dnsbl.log"]
  from_beginning=true
  [inputs.logparser.grok]
    measurement = "dnsbl_log"
    patterns = ["^%{WORD:BlockType}-%{WORD:BlockSubType},%{SYSLOGTIMESTAMP:timestamp:ts-syslog},%{IPORHOST:destination:tag},%{IPORHOST:source:tag},%{GREEDYDATA:call},%{WORD:BlockMethod},%{WORD:BlockList},%{IPORHOST:tld:tag},%{WORD:DefinedList:tag},%{GREEDYDATA:hitormiss}"]
    timezone = "Local"
    [inputs.logparser.tags]
      value = "1"

[[inputs.logparser]]
    files = ["/var/log/pfblockerng/ip_block.log"]
    from_beginning=true
    [inputs.logparser.grok]
        measurement = "ip_block_log"
        patterns = ["^%{SYSLOGTIMESTAMP:timestamp:ts-syslog},%{NUMBER:TrackerID},%{GREEDYDATA:Interface},%{WORD:InterfaceName},%{WORD:action},%{NUMBER:IPVersion},%{NUMBER:ProtocolID},%{GREEDYDATA:Protocol},%{IPORHOST:SrcIP:tag},%{IPORHOST:DstIP:tag},%{NUMBER:SrcPort},%{NUMBER:DstPort},%{WORD:Dir},%{WORD:GeoIP:tag},%{GREEDYDATA:AliasName},%{GREEDYDATA:IPEvaluated},%{GREEDYDATA:FeedName:tag},%{HOSTNAME:ResolvedHostname},%{HOSTNAME:ClientHostname},%{GREEDYDATA:ASN},%{GREEDYDATA:DuplicateEventStatus}"]
        timezone = "Local"

Example docker-compose.yml:

version: '2'
services:
  db:
    image: influxdb
    container_name: influxdb-pfmon
    restart: always
    ports:
      - "8088:8086"
    networks:
      - default
    volumes:
      - ./influxdb:/var/lib/influxdb
    environment:
      - INFLUXDB_ADMIN_USER=admin
      - INFLUXDB_ADMIN_PASSWORD=password
      - INFLUXDB_DB=speedtest
  web:
    image: kjake/pfmon-docker:latest
    container_name: pfweb
    restart: always
    ports:
      - "4000:3000"
    networks:
      - default
    volumes:
      - ./config:/var/lib/grafana
    user: "472"
    environment:
      - GF_INSTALL_PLUGINS=https://packages.hiveeyes.org/grafana/grafana-map-panel/grafana-map-panel-0.9.0.zip;grafana-map-panel
      - GF_SERVER_ROOT_URL=http://localhost
      - GF_SERVER_HTTP_PORT=3000
      - GF_AUTH_ANONYMOUS_ENABLED=true
      - GF_AUTH_ANONYMOUS_ORG_ROLE=Viewer
#      - GF_SERVER_CERT_FILE=/tmp/crt
#      - GF_SERVER_CERT_KEY=/tmp/key
#      - GF_SERVER_PROTOCOL=https
networks:
  default:
    driver: bridge

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docker pull kjake/pfmon-docker