![]() We are using a lookup called db_exploits.csv to populate our search and the search itself is pretty straightforward. This is so it knows where to pull it’s data from. We provide an id of ‘dbe’ in order to reference this search later, when we add our table template tag. Once you restart, go to you should see something like this: ![]() It will then ask for your username and password and then prompt you with: The app was created at ‘$SPLUNK_HOME/etc/apps/’. splunkdj createapp #name whatever you like Since we are using the built-in Splunk Web Framework, we are going to create our app from the command line at $SPLUNK_HOME/etc/apps/framework and run. We’ll be referencing it in our search as | inputlookup db_exploits.csvįeel free to also download working examples of the app: Part 2: Create Your App Once you have this downloaded, go into Splunk and create a new lookup table from this. This contains a list of database exploits ( ) and we will use this data to populate our lookup. ![]() Part 1: The Necessitiesĭownload the zipped db_exploits.csv file. I will do my best to guide you through each step. Oh, and if you enjoy a more visual route, there are related screencasts split across three videos.Īlready familiar with the Splunk Web Framework? You will probably be alright skimming through this first part.Ĭaution: There’s some heavy coding ahead, specifically in regards to JavaScript. The second will cover how to add the filtering functionality to what we have built in the first. The first portion will cover the basics of setting up an app through the Splunk Web Framework, which will result in the creation of a custom input field and table. Due to the amount of content we will be covering, this tutorial will be split into two separate posts. I am going to take you through step-by-step how to do just that. In this case, having something that filters in real-time would be much more effective. You shouldn’t have to refetch the data to find a match, if you’re searching for something specific, especially since the data isn’t changing frequently enough. Let’s say you have a predefined list of subnets in a lookup. However, what if you had a set of data and you wanted to easily filter that table in real-time? By default, Splunk needs to refetch the data in order to filter it down. It’s pretty simple to create a table in Splunk. ![]()
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