One place for hosting & domains

      System

      Git vs SVN: Pros and Cons of Each Version Control System


      Version Control Systems (VCS), like Git and SVN, track and manage code changes and provide an efficient way to collaborate on software development projects. A VCS is especially useful as a software development project grows in size and complexity, but even the simplest projects can benefit from tracking code changes with a VCS.

      Git and SVN are two of the most popular open source VCS solutions. Git has recently skyrocketed in popularity due to its use by developers collaborating on open-source projects. SVN, on the other hand, has been more commonly used in enterprise software development projects.

      This guide discusses the features and pros and cons of Git and SVN to help you choose the best VCS for your software development project.

      What is the Git Version Control System?

      Git
      is a distributed version control system. In this type of VCS, a project contributor creates a local repository that is a full clone of a central repository. With a local clone of the central repository, each contributor is able to work on the project completely offline on their own computer. When changes are ready, contributors can push and merge them with the central repository.

      Git has immense support from the open-source community. It has quickly become one of the most used version control systems for software development projects.

      What is SVN?

      Apache Subversion
      (SVN), is a centralized version control system. When working with this type of VCS, all project files exist on a central repository server. The central repository has a “trunk,” which contains the current, stable version of the project. When working on new features, contributors can make “branches” from the trunk. Each branch is stored in a sub-folder on the central repository. When changes are ready, a branch can be merged into the trunk.

      SVN has a long and successful history and stands as a titan in the version control world. It has widespread usage for enterprise projects, with features like granular access control that make it excel in that context.

      Git vs SVN: Pros and Cons

      To help you understand how these two version control solutions match up, this section walks you through the pros and cons of each.

      Git Pros and Cons

      Git’s pros are the following:

      • Operates locally. Contributors work on clones of the main repository, which they can continue to work on offline, without a network connection to the main repository. Contributors only need to connect when changes are ready to be pushed. This also helps limit network traffic to the main repository.

      • Avoids having a single point of failure. The repository is distributed in local copies, so there is less to worry about if a failure occurs on the main repository. The main repository can be restored from one of the local copies.

      • Handles merging from multiple contributors effectively. Contributors all work independently on their copies of the main repository. Git then provides a robust system for reconciling and merging each contributor’s changes. Staging is part of this, allowing contributors to focus on particular features without affecting others.

      Git’s cons are the following:

      • Has a higher learning curve. Using Git to collaborate on a project requires that you make your changes locally, stage those changes, and merge the changes back into the main branch. This process can get complicated, especially for non-technical users.

      • Lacks granular access control. Git supports applying limits on a contributor’s ability to create branches and merge changes on the main repository. However, you cannot restrict access to specific parts of the repository. Anyone with access to the repository has access to everything in the repository, with local repositories being clones of the entire codebase.

      • Does not effectively handle storing large binary files. Git cannot compress these files effectively, meaning that the repository size can grow exponentially with each change to a large binary file.

      SVN Pros and Cons

      SVN’s pros are the following:

      • Takes an easier approach. The path between
        creating a new feature branch
        and merging it into the trunk is relatively short and intuitive to grasp. This makes SVN a tool that requires less training when getting started and can be effectively taken up by non-technical contributors.

      • Facilitates a top-down approach. Since everything is centralized in an SVN repository, there is a single instance of the entire repository. This allows for granular repository access control. Each contributor’s access can be limited to particular directories and files. SVN is a good choice when you need to manage security hierarchies within a repository.

      • Efficiently stores large binary files. Teams that need to store binary files, especially when those binary files change frequently, can do so without worrying about exponential storage increases with each change. While this is not a concern for every team, this feature can be a significant boon for some workflows and version control use cases.

      SVN’s cons are the following:

      • Provides limited offline capabilities. Everything operates on a centralized repository using a client-server approach. When contributors are offline and unable to access the server, they essentially lose the ability to contribute. This also entails a higher level of traffic to the main repository’s server, since contributors have to access it constantly.

      • The centralized repository server can be a single point of failure. Since contributors do not make local copies of the entire repository, unless a backup copy is made, there is only one instance of the entire repository. If an issue occurs with the instance, such as data corruption, it can have dire repercussions on a software development project.

      Advantages of Git Over SVN

      The ability to work locally and offline is one major advantage to Git. SVN requires contributors to be connected to the main repository server, which essentially eliminates working offline.

      Git also outperforms SVN when it comes to merging and conflict resolution. Git has been designed for an open-source setting where numerous contributors may be working on the same parts of a codebase. To allow for this type of collaboration, Git has built up a robust system for resolving merge conflicts that makes the process smoother, and more manageable.

      Git’s distributed model of version control helps mitigate the potential for loss of the main repository. Since contributors clone the main repository, the risk of completely losing your main repository is greatly reduced. On the other hand, SVN’s centralized model of version control creates the potential for a single point of failure should anything happen to the main repository.

      Advantages of SVN Over Git

      SVN’s centralized repository model makes it easier to manage contributions and contributors. Git does not support codebase access restrictions — a contributor who has access to the repository has access to the entire repository. SVN, by contrast, provides granular control, allowing for limits on particular contributors down to the directory, and file levels.

      SVN also makes contributing easier. Git has robust conflict handling, but its system can often be daunting for newcomers. SVN’s system is more approachable, because the path between creating a new feature and merging it into the trunk is shorter and simpler.

      SVN wins out on some performance considerations. It handles network traffic exceptionally well. So, while contributors may have to be connected to the server to complete work, the network load for this is managed efficiently. Also, SVN compresses and stores large binaries quite efficiently. If your project includes large binary files, you might consider using SVN.

      Which Should You Use?

      Each of the version control systems covered here — SVN and Git — has its particular strengths and weaknesses. Each one fits different use cases better than the other, and neither one wins out over the other one outright.

      • Use SVN when you need a VCS that favors top-down management, easy contributions, and does not require you to work entirely offline. SVN often comes out on top for enterprise usage specifically for its granular access control, and it is the clear choice if you need to set up security hierarchies.

        To get started with SVN, be sure to read through our guide
        How to Install and Use the Subversion CLI Client
        .

      • Use Git when you need numerous contributors to work in parallel, where you expect lots of potential merge conflicts, and when you need contributors to be able to work locally offline. Because it handles merge conflicts, Git makes sense for most open-source projects, where contributors often work without external coordination. Git shines in a wide range of environments with complex codebases and distributed teams.

        To learn more and start working with Git, check out our guide
        Getting Started with Git
        .

      Conclusion

      SVN and Git are both powerful version control systems that each use a different approach to managing and merging code changes. Git uses a distributed model, whereas SVN uses a centralized model. Which VCS that you choose largely depends on your software development project’s requirements. After reading this guide, you should be able to select the best version control system for your needs.



      Source link

      How To Build A Security Information and Event Management (SIEM) System with Suricata and the Elastic Stack on Rocky Linux 8


      Not using Rocky Linux 8?


      Choose a different version or distribution.

      Introduction

      The previous tutorials in this series guided you through installing, configuring, and running Suricata as an Intrusion Detection (IDS) and Intrusion Prevention (IPS) system. You also learned about Suricata rules and how to create your own.

      In this tutorial you will explore how to integrate Suricata with Elasticsearch, Kibana, and Filebeat to begin creating your own Security Information and Event Management (SIEM) tool using the Elastic stack and Rocky Linux 8. SIEM tools are used to collect, aggregate, store, and analyze event data to search for security threats and suspicious activity on your networks and servers.

      The components that you will use to build your own SIEM are:

      • Elasticsearch to store, index, correlate, and search the security events that come from your Suricata server.
      • Kibana to display and navigate around the security event logs that are stored in Elasticsearch.
      • Filebeat to parse Suricata’s eve.json log file and send each event to Elasticsearch for processing.
      • Suricata to scan your network traffic for suspicious events, and either log or drop invalid packets.

      First you’ll install and configure Elasticsearch and Kibana with some specific authentication settings. Then you’ll add Filebeat to your Suricata system to send its eve.json logs to Elasticsearch.

      Finally, you’ll learn how to connect to Kibana using SSH and your web browser, and then load and interact with Kibana dashboards that show Suricata’s events and alerts.

      Prerequisites

      If you have been following this tutorial series then you should already have Suricata running on a Rocky Linux server. This server will be referred to as your Suricata server.

      You will also need a second server to host Elasticsearch and Kibana. This server will be referred to as your Elasticsearch server. It should be a Rocky Linux 8 server with:

      For the purposes of this tutorial, both servers should be able to communicate using private IP addresses. You can use a VPN like WireGuard to connect your servers, or use a cloud-provider that has private networking between hosts. You can also choose to run Elasticsearch, Kibana, Filebeat, and Suricata on the same server for experimenting.

      Step 1 — Installing Elasticsearch and Kibana

      The first step in this tutorial is to install Elasticsearch and Kibana on your Elasticsearch server. To get started, add the Elastic GPG key to your server with the following command:

      • sudo rpm --import https://artifacts.elastic.co/GPG-KEY-elasticsearch

      Next, create an elasticsearch.repo file in your /etc/yum/yum.repos.d directory with the following contents, using vi or your preferred editor. This ensures that the upstream Elasticsearch repositories will be used when installing new packages via yum:

      • sudo vi /etc/yum.repos.d/elasticsearch.repo

      /etc/yum.repos.d/elasticsearch.repo

      [elasticsearch]
      name=Elasticsearch repository for 7.x packages
      baseurl=https://artifacts.elastic.co/packages/7.x/yum
      gpgcheck=1
      gpgkey=https://artifacts.elastic.co/GPG-KEY-elasticsearch
      enabled=0
      autorefresh=1
      type=rpm-md
      

      If you are using vi, when you are finished making changes, press ESC and then :x to write the changes to the file and quit.

      Now install Elasticsearch and Kibana using the dnf command. Press Y to accept any prompts about GPG key fingerprints:

      • sudo dnf install --enablerepo=elasticsearch elasticsearch kibana

      The --enablerepo option is used to override the default disabled setting in the /etc/yum.repos.d/elasticsearch.repo file. This approach ensures that the Elasticsearch and Kibana packages do not get accidentally upgraded when you install other package updates to your server.

      Once you are done installing the packages, find and record your server’s private IP address using the ip address show command:

      You will receive output like the following:

      Output

      lo UNKNOWN 127.0.0.1/8 ::1/128 eth0 UP 159.89.122.115/20 10.20.0.8/16 2604:a880:cad:d0::e56:8001/64 fe80::b832:69ff:fe46:7e5d/64 eth1 UP 10.137.0.5/16 fe80::b883:5bff:fe19:43f3/64

      The private network interface in this output is the highlighted eth1 device, with the IPv4 address 10.137.0.5. Your device name, and IP addresses will be different. Regardless of your device name and private IP address, the address will be from the following reserved blocks:

      • 10.0.0.0 to 10.255.255.255 (10/8 prefix)
      • 172.16.0.0 to 172.31.255.255 (172.16/12 prefix)
      • 192.168.0.0 to 192.168.255.255 (192.168/16 prefix)

      If you would like to learn more about how these blocks are allocated visit the RFC 1918 specification)

      Record the private IP address for your Elasticsearch server (in this case 10.137.0.5). This address will be referred to as your_private_ip in the remainder of this tutorial. Also note the name of the network interface, in this case eth1. In the next part of this tutorial you will configure Elasticsearch and Kibana to listen for connections on the private IP address coming from your Suricata server.

      Step 2 — Configuring Elasticsearch

      Elasticsearch is configured to only accept local connections by default. Additionally, it does not have any authentication enabled, so tools like Filebeat will not be able to send logs to it. In this section of the tutorial you will configure the network settings for Elasticsearch and then enable Elasticsearch’s built-in xpack security module.

      Configuring Elasticsearch Networking

      Since Your Elasticsearch and Suricata servers are separate, you will need to configure Elasticsearch to listen for connections on its private network interface.

      Open the /etc/elasticsearch/elasticsearch.yml file using vi or your preferred editor:

      • sudo vi /etc/elasticsearch/elasticsearch.yml

      Find the commented out #network.host: 192.168.0.1 line between lines 50–60 and add a new line after it that configures the network.bind_host setting, as highlighted below:

      # By default Elasticsearch is only accessible on localhost. Set a different
      # address here to expose this node on the network:
      #
      #network.host: 192.168.0.1
      network.bind_host: ["127.0.0.1", "your_private_ip"]
      #
      # By default Elasticsearch listens for HTTP traffic on the first free port it
      # finds starting at 9200. Set a specific HTTP port here:
      

      Substitute your private IP in place of the your_private_ip address. This line will ensure that Elasticsearch is still available on its local address so that Kibana can reach it, as well as on the private IP address for your server.

      Next, go to the end of the file using the vi shortcut SHIFT+G.

      Add the following highlighted lines to the end of the file:

      . . .
      discovery.type: single-node
      xpack.security.enabled: true
      

      The discovery.type setting allows Elasticsearch to run as a single node, as opposed to in a cluster of other Elasticsearch servers. The xpack.security.enabled setting turns on some of the security features that are included with Elasticsearch.

      Save and close the file when you are done editing it.

      Finally, add firewall rules to ensure your Elasticsearch server is reachable on its private network interface. If you followed the prerequisite tutorials and are using firewalld, run the following commands:

      • sudo firewall-cmd --permanent --zone=internal --change-interface=eth1
      • sudo firewall-cmd --permanent --zone=internal --add-service=elasticsearch
      • sudo firewall-cmd --permanent --zone=internal --add-service=kibana
      • sudo systemctl reload firewalld.service

      Substitute your private network interface name in place of eth1 in the first command if yours is different. That command changes the interface rules to use the internal Firewalld zone, which is more permissive than the default public zone.

      The next commands add rules to allow Elasticsearch traffic on port 9200 and 9300, along with Kibana traffic on port 5601.

      The final command reloads the Firewalld service with the new permanent rules in place.

      Next you will start the Elasticsearch daemon and then configure passwords for use with the xpack security module.

      Starting Elasticsearch

      Now that you have configured networking and the xpack security settings for Elasticsearch, you need to start it for the changes to take effect.

      Run the following systemctl command to start Elasticsearch:

      • sudo systemctl start elasticsearch.service

      Once Elasticsearch finishes starting, you can continue to the next section of this tutorial where you will generate passwords for the default users that are built-in to Elasticsearch.

      Configuring Elasticsearch Passwords

      Now that you have enabled the xpack.security.enabled setting, you need to generate passwords for the default Elasticsearch users. Elasticsearch includes a utility in the /usr/share/elasticsearch/bin directory that can automatically generate random passwords for these users.

      Run the following command to cd to the directory and then generate random passwords for all the default users:

      • cd /usr/share/elasticsearch/bin
      • sudo ./elasticsearch-setup-passwords auto

      You will receive output like the following. When prompted to continue, press y and then RETURN or ENTER:

      Initiating the setup of passwords for reserved users elastic,apm_system,kibana,kibana_system,logstash_system,beats_system,remote_monitoring_user.
      The passwords will be randomly generated and printed to the console.
      Please confirm that you would like to continue [y/N]y
      
      
      Changed password for user apm_system
      PASSWORD apm_system = eWqzd0asAmxZ0gcJpOvn
      
      Changed password for user kibana_system
      PASSWORD kibana_system = 1HLVxfqZMd7aFQS6Uabl
      
      Changed password for user kibana
      PASSWORD kibana = 1HLVxfqZMd7aFQS6Uabl
      
      Changed password for user logstash_system
      PASSWORD logstash_system = wUjY59H91WGvGaN8uFLc
      
      Changed password for user beats_system
      PASSWORD beats_system = 2p81hIdAzWKknhzA992m
      
      Changed password for user remote_monitoring_user
      PASSWORD remote_monitoring_user = 85HF85Fl6cPslJlA8wPG
      
      Changed password for user elastic
      PASSWORD elastic = 6kNbsxQGYZ2EQJiqJpgl
      

      You will not be able to run the utility again, so make sure to record these passwords somewhere secure. You will need to use the kibana_system user’s password in the next section of this tutorial, and the elastic user’s password in the Configuring Filebeat step of this tutorial.

      At this point in the tutorial you are finished configuring Elasticsearch. The next section explains how to configure Kibana’s network settings and its xpack security module.

      Step 3 — Configuring Kibana

      In the previous section of this tutorial, you configured Elasticsearch to listen for connections on your Elasticsearch server’s private IP address. You will need to do the same for Kibana so that Filebeats on your Suricata server can reach it.

      First you’ll enable Kibana’s xpack security functionality by generating some secrets that Kibana will use to store data in Elasticsearch. Then you’ll configure Kibana’s network setting and authentication details to connect to Elasticsearch.

      Enabling xpack.security in Kibana

      To get started with xpack security settings in Kibana, you need to generate some encryption keys. Kibana uses these keys to store session data (like cookies), as well as various saved dashboards and views of data in Elasticsearch.

      You can generate the required encryption keys using the kibana-encryption-keys utility that is included in the /usr/share/kibana/bin directory. Run the following to cd to the directory and then generate the keys:

      • cd /usr/share/kibana/bin/
      • sudo ./kibana-encryption-keys generate -q --force

      The -q flag suppresses the tool’s instructions, and the --force flag will ensure that you create new keys. You should receive output like the following:

      Output

      xpack.encryptedSavedObjects.encryptionKey: 66fbd85ceb3cba51c0e939fb2526f585 xpack.reporting.encryptionKey: 9358f4bc7189ae0ade1b8deeec7f38ef xpack.security.encryptionKey: 8f847a594e4a813c4187fa93c884e92b

      Copy these three keys somewhere secure. You will now add them to Kibana’s /etc/kibana/kibana.yml configuration file.

      Open the file using vi or your preferred editor:

      • sudo vi /etc/kibana/kibana.yml

      Go to the end of the file using the vi shortcut SHIFT+G. Paste the three xpack lines that you copied to the end of the file:

      /etc/kibana/kibana.yml

      . . .
      
      # Specifies locale to be used for all localizable strings, dates and number formats.
      # Supported languages are the following: English - en , by default , Chinese - zh-CN .
      #i18n.locale: "en"
      
      xpack.encryptedSavedObjects.encryptionKey: 66fbd85ceb3cba51c0e939fb2526f585
      xpack.reporting.encryptionKey: 9358f4bc7189ae0ade1b8deeec7f38ef
      xpack.security.encryptionKey: 8f847a594e4a813c4187fa93c884e92b
      

      Keep the file open and proceed to the next section where you will configure Kibana’s network settings.

      Configuring Kibana Networking

      To configure Kibana’s networking so that it is available on your Elasticsearch server’s private IP address, find the commented out #server.host: "localhost" line in /etc/kibana/kibana.yml. The line is near the beginning of the file. Add a new line after it with your server’s private IP address, as highlighted below:

      /etc/kibana/kibana.yml

      # Kibana is served by a back end server. This setting specifies the port to use.
      #server.port: 5601
      
      # Specifies the address to which the Kibana server will bind. IP addresses and host names are both valid values.
      # The default is 'localhost', which usually means remote machines will not be able to connect.
      # To allow connections from remote users, set this parameter to a non-loopback address.
      #server.host: "localhost"
      server.host: "your_private_ip"
      

      Substitute your private IP in place of the your_private_ip address.

      Save and close the file when you are done editing it. Next, you’ll need to configure the username and password that Kibana uses to connect to Elasticsearch.

      Configuring Kibana Credentials

      There are two ways to set the username and password that Kibana uses to authenticate to Elasticsearch. The first is to edit the /etc/kibana/kibana.yml configuration file and add the values there. The second method is to store the values in Kibana’s keystore, which is an obfuscated file that Kibana can use to store secrets.

      We’ll use the keystore method in this tutorial since it avoids editing Kibana’s configuration file directly.

      If you prefer to edit the file instead, the settings to configure in it are elasticsearch.username and elasticsearch.password.

      If you choose to edit the configuration file, skip the rest of the steps in this section.

      To add a secret to the keystore using the kibana-keystore utility, first cd to the the /usr/share/kibana/bin directory. Next, run the following command to set the username for Kibana:

      • cd /usr/share/kibana/bin
      • sudo ./kibana-keystore add elasticsearch.username

      You will receive a prompt like the following:

      Username Entry

      Enter value for elasticsearch.username: *************
      

      Enter kibana_system when prompted, either by copying and pasting, or typing the username carefully. Each character that you type will be masked with an * asterisk character. Press ENTER or RETURN when you are done entering the username.

      Now repeat the process, this time to save the password. Be sure to copy the password for the kibana_system user that you generated in the previous section of this tutorial. For reference, in this tutorial the example password is 1HLVxfqZMd7aFQS6Uabl.

      Run the following command to set the password:

      • sudo ./kibana-keystore add elasticsearch.password

      When prompted, paste the password to avoid any transcription errors:

      Password Entry

      Enter value for elasticsearch.password: ********************
      

      Starting Kibana

      Now that you have configured networking and the xpack security settings for Kibana, as well as added credentials to the keystore, you need to start it for the changes to take effect.

      Run the following systemctl command to restart Kibana:

      • sudo systemctl start kibana.service

      Once Kibana starts, you can continue to the next section of this tutorial where you will configure Filebeat on your Suricata server to send its logs to Elasticsearch.

      Step 4 — Installing Filebeat

      Now that your Elasticsearch and Kibana processes are configured with the correct network and authentication settings, the next step is to install and set up Filebeat on your Suricata server.

      To get started installing Filebeat, add the Elastic GPG key to your Suricata server with the following command:

      • sudo rpm --import https://artifacts.elastic.co/GPG-KEY-elasticsearch

      Next, create an elasticsearch.repo file in your /etc/yum/yum.repos.d directory with the following contents, using vi or your preferred editor:

      • sudo vi /etc/yum.repos.d/elasticsearch.repo

      /etc/yum.repos.d/elasticsearch.repo

      [elasticsearch]
      name=Elasticsearch repository for 7.x packages
      baseurl=https://artifacts.elastic.co/packages/7.x/yum
      gpgcheck=1
      gpgkey=https://artifacts.elastic.co/GPG-KEY-elasticsearch
      enabled=0
      autorefresh=1
      type=rpm-md
      

      When you are finished making changes save and exit the file. Now install the Filebeat package using the dnf command:

      • sudo dnf install --enablerepo=elasticsearch filebeat

      Next you’ll need to configure Filebeat to connect to both Elasticsearch and Kibana. Open the /etc/filebeat/filebeat.yml configuration file using vi or your preferred editor:

      • sudo vi /etc/filebeat/filebeat.yml

      Find the Kibana section of the file around line 100. Add a line after the commented out #host: "localhost:5601" line that points to your Kibana instance’s private IP address and port:

      /etc/filebeat/filebeat.yml

      . . .
      # Starting with Beats version 6.0.0, the dashboards are loaded via the Kibana API.
      # This requires a Kibana endpoint configuration.
      setup.kibana:
      
        # Kibana Host
        # Scheme and port can be left out and will be set to the default (http and 5601)
        # In case you specify and additional path, the scheme is required: http://localhost:5601/path
        # IPv6 addresses should always be defined as: https://[2001:db8::1]:5601
        #host: "localhost:5601"
        host: "your_private_ip:5601"
      
      . . .
      

      This change will ensure that Filebeat can connect to Kibana in order to create the various SIEM indices, dashboards, and processing pipelines in Elasticsearch to handle your Suricata logs.

      Next, find the Elasticsearch Output section of the file around line 130 and edit the hosts, username, and password settings to match the values for your Elasticsearch server:

      output.elasticsearch:
        # Array of hosts to connect to.
        hosts: ["your_private_ip:9200"]
      
        # Protocol - either `http` (default) or `https`.
        #protocol: "https"
      
        # Authentication credentials - either API key or username/password.
        #api_key: "id:api_key"
        username: "elastic"
        password: "6kNbsxQGYZ2EQJiqJpgl"
      
      . . .
      

      Substitute in your Elasticsearch server’s private IP address on the hosts line. Uncomment the username field and leave it set to the elastic user. Change the password field from changeme to the password for the elastic user that you generated in the Configuring Elasticsearch Passwords section of this tutorial.

      Save and close the file when you are done editing it. Next, enable Filebeats’ built-in Suricata module with the following command:

      • sudo filebeat modules enable suricata

      Now that Filebeat is configured to connect to Elasticsearch and Kibana, with the Suricata module enabled, the next step is to load the SIEM dashboards and pipelines into Elasticsearch.

      Run the filebeat setup command. It may take a few minutes to load everything:

      Once the command finishes you should receive output like the following:

      Output

      Overwriting ILM policy is disabled. Set `setup.ilm.overwrite: true` for enabling. Index setup finished. Loading dashboards (Kibana must be running and reachable) Loaded dashboards Setting up ML using setup --machine-learning is going to be removed in 8.0.0. Please use the ML app instead. See more: https://www.elastic.co/guide/en/machine-learning/current/index.html It is not possble to load ML jobs into an Elasticsearch 8.0.0 or newer using the Beat. Loaded machine learning job configurations Loaded Ingest pipelines

      If there are no errors, use the systemctl command to start Filebeat. It will begin sending events from Suricata’s eve.json log to Elasticsearch once it is running.

      • sudo systemctl start filebeat.service

      Now that you have Filebeat, Kibana, and Elasticsearch configured to process your Suricata logs, the last step in this tutorial is to connect to Kibana and explore the SIEM dashboards.

      Step 5 — Navigating Kibana’s SIEM Dashboards

      Kibana is the graphical component of the Elastic stack. You will use Kibana with your browser to explore Suricata’s event and alert data. Since you configured Kibana to only be available via your Elasticsearch server’s private IP address, you will need to use an SSH tunnel to connect to Kibana.

      Connecting to Kibana with SSH

      SSH has an option -L that lets you forward network traffic on a local port over its connection to a remote IP address and port on a server. You will use this option to forward traffic from your browser to your Kibana instance.

      On Linux, macOS, and updated versions of Windows 10 and higher, you can use the built-in SSH client to create the tunnel. You will use this command each time you want to connect to Kibana. You can close this connection at any time and then run the SSH command again to re-establish the tunnel.

      Run the following command in a terminal on your local desktop or laptop computer to create the SSH tunnel to Kibana:

      • ssh -L 5601:your_private_ip:5601 sammy@203.0.113.5 -N

      The various arguments to SSH are:

      • The -L flag forwards traffic to your local system on port 5601 to the remote server.
      • The your_private_ip:5601 portion of the command specifies the service on your Elasticsearch server where your traffic will be fowarded to. In this case that service is Kibana. Be sure to substitute your Elasticsearch server’s private IP address in place of your_private_ip.
      • The 203.0.113.5 address is the public IP address that you use to connect to and administer your server. Substitute your Elasticsearch server’s public IP address in its place.
      • The -N flag instructs SSH to not run a command like an interactive /bin/bash shell, and instead just hold the connection open. It is generally used when forwarding ports like in this example.

      If you would like to close the tunnel at any time, press CTRL+C.

      On Windows your terminal should resemble the following screenshot:

      Note: You may be prompted to enter a password if you are not using an SSH key. Type or paste it into the prompt and press ENTER or RETURN.

      Screenshot of Windows Command Prompt Showing SSH Command to Port Forward to Kibana

      On macOS and Linux your terminal will be similar to the following screenshot:

      Screenshot of Windows Command Prompt Showing SSH Command to Port Forward to Kibana

      Once you have connected to your Elasticsearch server over SSH with the port forward in place, open your browser and visit http://127.0.0.1:5601. You will be redirected to Kibana’s login page:

      Screenshot of a Browser on Kibana's Login Page

      If your browser cannot connect to Kibana you will receive a message like the following in your terminal:

      Output

      channel 3: open failed: connect failed: No route to host

      This error indicates that your SSH tunnel is unable to reach the Kibana service on your server. Ensure that you have specified the correct private IP address for your Elasticsearch server and reload the page in your browser.

      Log in to your Kibana server using elastic for the Username, and the password that you copied earlier in this tutorial for the user.

      Browsing Kibana SIEM Dashboards

      Once you are logged into Kibana you can explore the Suricata dashboards that Filebeat configured for you.

      In the search field at the top of the Kibana Welcome page, input the search terms type:dashboard suricata. This search will return two results: the Suricata Events and Suricata Alerts dashboards per the following screenshot:

      Screenshot of a Browser Using Kibana's Global Search Box to Locate Suricata Dashboards

      Click the [Filebeat Suricata] Events Overview result to visit the Kibana dashboard that shows an overview of all logged Suricata events:

      Screenshot of a Browser on Kibana's Suricata Events Dashboard

      To visit the Suricata Alerts dashboard, repeat the search or click the Alerts link that is included in the Events dashboard. Your page should resemble the following screenshot:

      Screenshot of a Browser on Kibana's Suricata Alerts Dashboard

      If you would like to inspect the events and alerts that each dashboard displays, scroll to the bottom of the page where you will find a table that lists each event and alert. You can expand each entry to view the original log entry from Suricata, and examine in detail the various fields like source and destination IPs for an alert, the attack type, Suricata signature ID, and others.

      Kibana also has a built-in set of Security dashboards that you can access using the menu on the left side of the browser window. Navigate to the Network dashboard for an overview of events displayed on a map, as well as aggregate data about events on your network. Your dashboard should resemble the following screenshot:

      Screenshot of a Browser on Kibana's Security -> Network Dashboard

      You can scroll to the bottom of the Network dashboard for a table that lists all of the events that match your specified search timeframe. You can also examine each event in detail, or select an event to generate a Kibana timeline, that you can then use to investigate specific traffic flows, alerts, or community IDs.

      Conclusion

      In this tutorial you installed and configured Elasticsearch and Kibana on a standalone server. You configured both tools to be available on a private IP address. You also configured Elasticsearch and Kibana’s authentication settings using the xpack security module that is included with each tool.

      After completing the Elasticsearch and Kibana configuration steps, you also installed and configured Filebeat on your Suricata server. You used Filebeat to populate Kibana’s dashboards and start sending Suricata logs to Elasticsearch.

      Finally, you created an SSH tunnel to your Elasticsearch server and logged into Kibana. You located the new Suricata Events and Alerts dashboards, as well as the Network dashboard.

      The last tutorial in this series will guide you through using Kibana’s SIEM functionality to process your Suricata alerts. In it you will explore how to create cases to track specific alerts, timelines to correlate network flows, and rules to match specific Suricata events that you would like to track or analyze in more detail.



      Source link

      How To Build A Security Information and Event Management (SIEM) System with Suricata and the Elastic Stack on CentOS 8 Stream


      Not using CentOS 8?


      Choose a different version or distribution.

      Introduction

      The previous tutorials in this series guided you through installing, configuring, and running Suricata as an Intrusion Detection (IDS) and Intrusion Prevention (IPS) system. You also learned about Suricata rules and how to create your own.

      In this tutorial you will explore how to integrate Suricata with Elasticsearch, Kibana, and Filebeat to begin creating your own Security Information and Event Management (SIEM) tool using the Elastic stack and CentOS 8 Stream. SIEM tools are used to collect, aggregate, store, and analyze event data to search for security threats and suspicious activity on your networks and servers.

      The components that you will use to build your own SIEM are:

      • Elasticsearch to store, index, correlate, and search the security events that come from your Suricata server.
      • Kibana to display and navigate around the security event logs that are stored in Elasticsearch.
      • Filebeat to parse Suricata’s eve.json log file and send each event to Elasticsearch for processing.
      • Suricata to scan your network traffic for suspicious events, and either log or drop invalid packets.

      First you’ll install and configure Elasticsearch and Kibana with some specific authentication settings. Then you’ll add Filebeat to your Suricata system to send its eve.json logs to Elasticsearch.

      Finally, you’ll learn how to connect to Kibana using SSH and your web browser, and then load and interact with Kibana dashboards that show Suricata’s events and alerts.

      Prerequisites

      If you have been following this tutorial series then you should already have Suricata running on a CentOS 8 Stream server. This server will be referred to as your Suricata server.

      You will also need a second server to host Elasticsearch and Kibana. This server will be referred to as your Elasticsearch server. It should be a CentOS 8 Stream server with:

      For the purposes of this tutorial, both servers should be able to communicate using private IP addresses. You can use a VPN like WireGuard to connect your servers, or use a cloud-provider that has private networking between hosts. You can also choose to run Elasticsearch, Kibana, Filebeat, and Suricata on the same server for experimenting.

      Step 1 — Installing Elasticsearch and Kibana

      The first step in this tutorial is to install Elasticsearch and Kibana on your Elasticsearch server. To get started, add the Elastic GPG key to your server with the following command:

      • sudo rpm --import https://artifacts.elastic.co/GPG-KEY-elasticsearch

      Next, create an elasticsearch.repo file in your /etc/yum/yum.repos.d directory with the following contents, using vi or your preferred editor. This ensures that the upstream Elasticsearch repositories will be used when installing new packages via yum:

      • sudo vi /etc/yum.repos.d/elasticsearch.repo

      /etc/yum.repos.d/elasticsearch.repo

      [elasticsearch]
      name=Elasticsearch repository for 7.x packages
      baseurl=https://artifacts.elastic.co/packages/7.x/yum
      gpgcheck=1
      gpgkey=https://artifacts.elastic.co/GPG-KEY-elasticsearch
      enabled=0
      autorefresh=1
      type=rpm-md
      

      If you are using vi, when you are finished making changes, press ESC and then :x to write the changes to the file and quit.

      Now install Elasticsearch and Kibana using the dnf command. Press Y to accept any prompts about GPG key fingerprints:

      • sudo dnf install --enablerepo=elasticsearch elasticsearch kibana

      The --enablerepo option is used to override the default disabled setting in the /etc/yum.repos.d/elasticsearch.repo file. This approach ensures that the Elasticsearch and Kibana packages do not get accidentally upgraded when you install other package updates to your server.

      Once you are done installing the packages, find and record your server’s private IP address using the ip address show command:

      You will receive output like the following:

      Output

      lo UNKNOWN 127.0.0.1/8 ::1/128 eth0 UP 159.89.122.115/20 10.20.0.8/16 2604:a880:cad:d0::e56:8001/64 fe80::b832:69ff:fe46:7e5d/64 eth1 UP 10.137.0.5/16 fe80::b883:5bff:fe19:43f3/64

      The private network interface in this output is the highlighted eth1 device, with the IPv4 address 10.137.0.5. Your device name, and IP addresses will be different. Regardless of your device name and private IP address, the address will be from the following reserved blocks:

      • 10.0.0.0 to 10.255.255.255 (10/8 prefix)
      • 172.16.0.0 to 172.31.255.255 (172.16/12 prefix)
      • 192.168.0.0 to 192.168.255.255 (192.168/16 prefix)

      If you would like to learn more about how these blocks are allocated visit the RFC 1918 specification)

      Record the private IP address for your Elasticsearch server (in this case 10.137.0.5). This address will be referred to as your_private_ip in the remainder of this tutorial. Also note the name of the network interface, in this case eth1. In the next part of this tutorial you will configure Elasticsearch and Kibana to listen for connections on the private IP address coming from your Suricata server.

      Step 2 — Configuring Elasticsearch

      Elasticsearch is configured to only accept local connections by default. Additionally, it does not have any authentication enabled, so tools like Filebeat will not be able to send logs to it. In this section of the tutorial you will configure the network settings for Elasticsearch and then enable Elasticsearch’s built-in xpack security module.

      Configuring Elasticsearch Networking

      Since Your Elasticsearch and Suricata servers are separate, you will need to configure Elasticsearch to listen for connections on its private network interface.

      Open the /etc/elasticsearch/elasticsearch.yml file using vi or your preferred editor:

      • sudo vi /etc/elasticsearch/elasticsearch.yml

      Find the commented out #network.host: 192.168.0.1 line between lines 50–60 and add a new line after it that configures the network.bind_host setting, as highlighted below:

      # By default Elasticsearch is only accessible on localhost. Set a different
      # address here to expose this node on the network:
      #
      #network.host: 192.168.0.1
      network.bind_host: ["127.0.0.1", "your_private_ip"]
      #
      # By default Elasticsearch listens for HTTP traffic on the first free port it
      # finds starting at 9200. Set a specific HTTP port here:
      

      Substitute your private IP in place of the your_private_ip address. This line will ensure that Elasticsearch is still available on its local address so that Kibana can reach it, as well as on the private IP address for your server.

      Next, go to the end of the file using the vi shortcut SHIFT+G.

      Add the following highlighted lines to the end of the file:

      . . .
      discovery.type: single-node
      xpack.security.enabled: true
      

      The discovery.type setting allows Elasticsearch to run as a single node, as opposed to in a cluster of other Elasticsearch servers. The xpack.security.enabled setting turns on some of the security features that are included with Elasticsearch.

      Save and close the file when you are done editing it.

      Finally, add firewall rules to ensure your Elasticsearch server is reachable on its private network interface. If you followed the prerequisite tutorials and are using firewalld, run the following commands:

      • sudo firewall-cmd --permanent --zone=internal --change-interface=eth1
      • sudo firewall-cmd --permanent --zone=internal --add-service=elasticsearch
      • sudo firewall-cmd --permanent --zone=internal --add-service=kibana
      • sudo systemctl reload firewalld.service

      Substitute your private network interface name in place of eth1 in the first command if yours is different. That command changes the interface rules to use the internal Firewalld zone, which is more permissive than the default public zone.

      The next commands add rules to allow Elasticsearch traffic on port 9200 and 9300, along with Kibana traffic on port 5601.

      The final command reloads the Firewalld service with the new permanent rules in place.

      Next you will start the Elasticsearch daemon and then configure passwords for use with the xpack security module.

      Starting Elasticsearch

      Now that you have configured networking and the xpack security settings for Elasticsearch, you need to start it for the changes to take effect.

      Run the following systemctl command to start Elasticsearch:

      • sudo systemctl start elasticsearch.service

      Once Elasticsearch finishes starting, you can continue to the next section of this tutorial where you will generate passwords for the default users that are built-in to Elasticsearch.

      Configuring Elasticsearch Passwords

      Now that you have enabled the xpack.security.enabled setting, you need to generate passwords for the default Elasticsearch users. Elasticsearch includes a utility in the /usr/share/elasticsearch/bin directory that can automatically generate random passwords for these users.

      Run the following command to cd to the directory and then generate random passwords for all the default users:

      • cd /usr/share/elasticsearch/bin
      • sudo ./elasticsearch-setup-passwords auto

      You will receive output like the following. When prompted to continue, press y and then RETURN or ENTER:

      Initiating the setup of passwords for reserved users elastic,apm_system,kibana,kibana_system,logstash_system,beats_system,remote_monitoring_user.
      The passwords will be randomly generated and printed to the console.
      Please confirm that you would like to continue [y/N]y
      
      
      Changed password for user apm_system
      PASSWORD apm_system = eWqzd0asAmxZ0gcJpOvn
      
      Changed password for user kibana_system
      PASSWORD kibana_system = 1HLVxfqZMd7aFQS6Uabl
      
      Changed password for user kibana
      PASSWORD kibana = 1HLVxfqZMd7aFQS6Uabl
      
      Changed password for user logstash_system
      PASSWORD logstash_system = wUjY59H91WGvGaN8uFLc
      
      Changed password for user beats_system
      PASSWORD beats_system = 2p81hIdAzWKknhzA992m
      
      Changed password for user remote_monitoring_user
      PASSWORD remote_monitoring_user = 85HF85Fl6cPslJlA8wPG
      
      Changed password for user elastic
      PASSWORD elastic = 6kNbsxQGYZ2EQJiqJpgl
      

      You will not be able to run the utility again, so make sure to record these passwords somewhere secure. You will need to use the kibana_system user’s password in the next section of this tutorial, and the elastic user’s password in the Configuring Filebeat step of this tutorial.

      At this point in the tutorial you are finished configuring Elasticsearch. The next section explains how to configure Kibana’s network settings and its xpack security module.

      Step 3 — Configuring Kibana

      In the previous section of this tutorial, you configured Elasticsearch to listen for connections on your Elasticsearch server’s private IP address. You will need to do the same for Kibana so that Filebeats on your Suricata server can reach it.

      First you’ll enable Kibana’s xpack security functionality by generating some secrets that Kibana will use to store data in Elasticsearch. Then you’ll configure Kibana’s network setting and authentication details to connect to Elasticsearch.

      Enabling xpack.security in Kibana

      To get started with xpack security settings in Kibana, you need to generate some encryption keys. Kibana uses these keys to store session data (like cookies), as well as various saved dashboards and views of data in Elasticsearch.

      You can generate the required encryption keys using the kibana-encryption-keys utility that is included in the /usr/share/kibana/bin directory. Run the following to cd to the directory and then generate the keys:

      • cd /usr/share/kibana/bin/
      • sudo ./kibana-encryption-keys generate -q --force

      The -q flag suppresses the tool’s instructions, and the --force flag will ensure that you create new keys. You should receive output like the following:

      Output

      xpack.encryptedSavedObjects.encryptionKey: 66fbd85ceb3cba51c0e939fb2526f585 xpack.reporting.encryptionKey: 9358f4bc7189ae0ade1b8deeec7f38ef xpack.security.encryptionKey: 8f847a594e4a813c4187fa93c884e92b

      Copy these three keys somewhere secure. You will now add them to Kibana’s /etc/kibana/kibana.yml configuration file.

      Open the file using vi or your preferred editor:

      • sudo vi /etc/kibana/kibana.yml

      Go to the end of the file using the vi shortcut SHIFT+G. Paste the three xpack lines that you copied to the end of the file:

      /etc/kibana/kibana.yml

      . . .
      
      # Specifies locale to be used for all localizable strings, dates and number formats.
      # Supported languages are the following: English - en , by default , Chinese - zh-CN .
      #i18n.locale: "en"
      
      xpack.encryptedSavedObjects.encryptionKey: 66fbd85ceb3cba51c0e939fb2526f585
      xpack.reporting.encryptionKey: 9358f4bc7189ae0ade1b8deeec7f38ef
      xpack.security.encryptionKey: 8f847a594e4a813c4187fa93c884e92b
      

      Keep the file open and proceed to the next section where you will configure Kibana’s network settings.

      Configuring Kibana Networking

      To configure Kibana’s networking so that it is available on your Elasticsearch server’s private IP address, find the commented out #server.host: "localhost" line in /etc/kibana/kibana.yml. The line is near the beginning of the file. Add a new line after it with your server’s private IP address, as highlighted below:

      /etc/kibana/kibana.yml

      # Kibana is served by a back end server. This setting specifies the port to use.
      #server.port: 5601
      
      # Specifies the address to which the Kibana server will bind. IP addresses and host names are both valid values.
      # The default is 'localhost', which usually means remote machines will not be able to connect.
      # To allow connections from remote users, set this parameter to a non-loopback address.
      #server.host: "localhost"
      server.host: "your_private_ip"
      

      Substitute your private IP in place of the your_private_ip address.

      Save and close the file when you are done editing it. Next, you’ll need to configure the username and password that Kibana uses to connect to Elasticsearch.

      Configuring Kibana Credentials

      There are two ways to set the username and password that Kibana uses to authenticate to Elasticsearch. The first is to edit the /etc/kibana/kibana.yml configuration file and add the values there. The second method is to store the values in Kibana’s keystore, which is an obfuscated file that Kibana can use to store secrets.

      We’ll use the keystore method in this tutorial since it avoids editing Kibana’s configuration file directly.

      If you prefer to edit the file instead, the settings to configure in it are elasticsearch.username and elasticsearch.password.

      If you choose to edit the configuration file, skip the rest of the steps in this section.

      To add a secret to the keystore using the kibana-keystore utility, first cd to the the /usr/share/kibana/bin directory. Next, run the following command to set the username for Kibana:

      • cd /usr/share/kibana/bin
      • sudo ./kibana-keystore add elasticsearch.username

      You will receive a prompt like the following:

      Username Entry

      Enter value for elasticsearch.username: *************
      

      Enter kibana_system when prompted, either by copying and pasting, or typing the username carefully. Each character that you type will be masked with an * asterisk character. Press ENTER or RETURN when you are done entering the username.

      Now repeat the process, this time to save the password. Be sure to copy the password for the kibana_system user that you generated in the previous section of this tutorial. For reference, in this tutorial the example password is 1HLVxfqZMd7aFQS6Uabl.

      Run the following command to set the password:

      • sudo ./kibana-keystore add elasticsearch.password

      When prompted, paste the password to avoid any transcription errors:

      Password Entry

      Enter value for elasticsearch.password: ********************
      

      Starting Kibana

      Now that you have configured networking and the xpack security settings for Kibana, as well as added credentials to the keystore, you need to start it for the changes to take effect.

      Run the following systemctl command to restart Kibana:

      • sudo systemctl start kibana.service

      Once Kibana starts, you can continue to the next section of this tutorial where you will configure Filebeat on your Suricata server to send its logs to Elasticsearch.

      Step 4 — Installing Filebeat

      Now that your Elasticsearch and Kibana processes are configured with the correct network and authentication settings, the next step is to install and set up Filebeat on your Suricata server.

      To get started installing Filebeat, add the Elastic GPG key to your Suricata server with the following command:

      • sudo rpm --import https://artifacts.elastic.co/GPG-KEY-elasticsearch

      Next, create an elasticsearch.repo file in your /etc/yum/yum.repos.d directory with the following contents, using vi or your preferred editor:

      • sudo vi /etc/yum.repos.d/elasticsearch.repo

      /etc/yum.repos.d/elasticsearch.repo

      [elasticsearch]
      name=Elasticsearch repository for 7.x packages
      baseurl=https://artifacts.elastic.co/packages/7.x/yum
      gpgcheck=1
      gpgkey=https://artifacts.elastic.co/GPG-KEY-elasticsearch
      enabled=0
      autorefresh=1
      type=rpm-md
      

      When you are finished making changes save and exit the file. Now install the Filebeat package using the dnf command:

      • sudo dnf install --enablerepo=elasticsearch filebeat

      Next you’ll need to configure Filebeat to connect to both Elasticsearch and Kibana. Open the /etc/filebeat/filebeat.yml configuration file using vi or your preferred editor:

      • sudo vi /etc/filebeat/filebeat.yml

      Find the Kibana section of the file around line 100. Add a line after the commented out #host: "localhost:5601" line that points to your Kibana instance’s private IP address and port:

      /etc/filebeat/filebeat.yml

      . . .
      # Starting with Beats version 6.0.0, the dashboards are loaded via the Kibana API.
      # This requires a Kibana endpoint configuration.
      setup.kibana:
      
        # Kibana Host
        # Scheme and port can be left out and will be set to the default (http and 5601)
        # In case you specify and additional path, the scheme is required: http://localhost:5601/path
        # IPv6 addresses should always be defined as: https://[2001:db8::1]:5601
        #host: "localhost:5601"
        host: "your_private_ip:5601"
      
      . . .
      

      This change will ensure that Filebeat can connect to Kibana in order to create the various SIEM indices, dashboards, and processing pipelines in Elasticsearch to handle your Suricata logs.

      Next, find the Elasticsearch Output section of the file around line 130 and edit the hosts, username, and password settings to match the values for your Elasticsearch server:

      output.elasticsearch:
        # Array of hosts to connect to.
        hosts: ["your_private_ip:9200"]
      
        # Protocol - either `http` (default) or `https`.
        #protocol: "https"
      
        # Authentication credentials - either API key or username/password.
        #api_key: "id:api_key"
        username: "elastic"
        password: "6kNbsxQGYZ2EQJiqJpgl"
      
      . . .
      

      Substitute in your Elasticsearch server’s private IP address on the hosts line. Uncomment the username field and leave it set to the elastic user. Change the password field from changeme to the password for the elastic user that you generated in the Configuring Elasticsearch Passwords section of this tutorial.

      Save and close the file when you are done editing it. Next, enable Filebeats’ built-in Suricata module with the following command:

      • sudo filebeat modules enable suricata

      Now that Filebeat is configured to connect to Elasticsearch and Kibana, with the Suricata module enabled, the next step is to load the SIEM dashboards and pipelines into Elasticsearch.

      Run the filebeat setup command. It may take a few minutes to load everything:

      Once the command finishes you should receive output like the following:

      Output

      Overwriting ILM policy is disabled. Set `setup.ilm.overwrite: true` for enabling. Index setup finished. Loading dashboards (Kibana must be running and reachable) Loaded dashboards Setting up ML using setup --machine-learning is going to be removed in 8.0.0. Please use the ML app instead. See more: https://www.elastic.co/guide/en/machine-learning/current/index.html It is not possble to load ML jobs into an Elasticsearch 8.0.0 or newer using the Beat. Loaded machine learning job configurations Loaded Ingest pipelines

      If there are no errors, use the systemctl command to start Filebeat. It will begin sending events from Suricata’s eve.json log to Elasticsearch once it is running.

      • sudo systemctl start filebeat.service

      Now that you have Filebeat, Kibana, and Elasticsearch configured to process your Suricata logs, the last step in this tutorial is to connect to Kibana and explore the SIEM dashboards.

      Step 5 — Navigating Kibana’s SIEM Dashboards

      Kibana is the graphical component of the Elastic stack. You will use Kibana with your browser to explore Suricata’s event and alert data. Since you configured Kibana to only be available via your Elasticsearch server’s private IP address, you will need to use an SSH tunnel to connect to Kibana.

      Connecting to Kibana with SSH

      SSH has an option -L that lets you forward network traffic on a local port over its connection to a remote IP address and port on a server. You will use this option to forward traffic from your browser to your Kibana instance.

      On Linux, macOS, and updated versions of Windows 10 and higher, you can use the built-in SSH client to create the tunnel. You will use this command each time you want to connect to Kibana. You can close this connection at any time and then run the SSH command again to re-establish the tunnel.

      Run the following command in a terminal on your local desktop or laptop computer to create the SSH tunnel to Kibana:

      • ssh -L 5601:your_private_ip:5601 sammy@203.0.113.5 -N

      The various arguments to SSH are:

      • The -L flag forwards traffic to your local system on port 5601 to the remote server.
      • The your_private_ip:5601 portion of the command specifies the service on your Elasticsearch server where your traffic will be fowarded to. In this case that service is Kibana. Be sure to substitute your Elasticsearch server’s private IP address in place of your_private_ip.
      • The 203.0.113.5 address is the public IP address that you use to connect to and administer your server. Substitute your Elasticsearch server’s public IP address in its place.
      • The -N flag instructs SSH to not run a command like an interactive /bin/bash shell, and instead just hold the connection open. It is generally used when forwarding ports like in this example.

      If you would like to close the tunnel at any time, press CTRL+C.

      On Windows your terminal should resemble the following screenshot:

      Note: You may be prompted to enter a password if you are not using an SSH key. Type or paste it into the prompt and press ENTER or RETURN.

      Screenshot of Windows Command Prompt Showing SSH Command to Port Forward to Kibana

      On macOS and Linux your terminal will be similar to the following screenshot:

      Screenshot of Windows Command Prompt Showing SSH Command to Port Forward to Kibana

      Once you have connected to your Elasticsearch server over SSH with the port forward in place, open your browser and visit http://127.0.0.1:5601. You will be redirected to Kibana’s login page:

      Screenshot of a Browser on Kibana's Login Page

      If your browser cannot connect to Kibana you will receive a message like the following in your terminal:

      Output

      channel 3: open failed: connect failed: No route to host

      This error indicates that your SSH tunnel is unable to reach the Kibana service on your server. Ensure that you have specified the correct private IP address for your Elasticsearch server and reload the page in your browser.

      Log in to your Kibana server using elastic for the Username, and the password that you copied earlier in this tutorial for the user.

      Browsing Kibana SIEM Dashboards

      Once you are logged into Kibana you can explore the Suricata dashboards that Filebeat configured for you.

      In the search field at the top of the Kibana Welcome page, input the search terms type:dashboard suricata. This search will return two results: the Suricata Events and Suricata Alerts dashboards per the following screenshot:

      Screenshot of a Browser Using Kibana's Global Search Box to Locate Suricata Dashboards

      Click the [Filebeat Suricata] Events Overview result to visit the Kibana dashboard that shows an overview of all logged Suricata events:

      Screenshot of a Browser on Kibana's Suricata Events Dashboard

      To visit the Suricata Alerts dashboard, repeat the search or click the Alerts link that is included in the Events dashboard. Your page should resemble the following screenshot:

      Screenshot of a Browser on Kibana's Suricata Alerts Dashboard

      If you would like to inspect the events and alerts that each dashboard displays, scroll to the bottom of the page where you will find a table that lists each event and alert. You can expand each entry to view the original log entry from Suricata, and examine in detail the various fields like source and destination IPs for an alert, the attack type, Suricata signature ID, and others.

      Kibana also has a built-in set of Security dashboards that you can access using the menu on the left side of the browser window. Navigate to the Network dashboard for an overview of events displayed on a map, as well as aggregate data about events on your network. Your dashboard should resemble the following screenshot:

      Screenshot of a Browser on Kibana's Security -> Network Dashboard

      You can scroll to the bottom of the Network dashboard for a table that lists all of the events that match your specified search timeframe. You can also examine each event in detail, or select an event to generate a Kibana timeline, that you can then use to investigate specific traffic flows, alerts, or community IDs.

      Conclusion

      In this tutorial you installed and configured Elasticsearch and Kibana on a standalone server. You configured both tools to be available on a private IP address. You also configured Elasticsearch and Kibana’s authentication settings using the xpack security module that is included with each tool.

      After completing the Elasticsearch and Kibana configuration steps, you also installed and configured Filebeat on your Suricata server. You used Filebeat to populate Kibana’s dashboards and start sending Suricata logs to Elasticsearch.

      Finally, you created an SSH tunnel to your Elasticsearch server and logged into Kibana. You located the new Suricata Events and Alerts dashboards, as well as the Network dashboard.

      The last tutorial in this series will guide you through using Kibana’s SIEM functionality to process your Suricata alerts. In it you will explore how to create cases to track specific alerts, timelines to correlate network flows, and rules to match specific Suricata events that you would like to track or analyze in more detail.



      Source link