![]() Index="mydataindex" | stats avg(eval(TotBytes-SrcBytes)) as Bytes by SrcAddr | sort limit=10 -Bytes Use the sort to limit the number of results you display: Index="mydataindex" | stats avg(eval(TotBytes-SrcBytes)) as Bytes by SrcAddr | sort -Bytes Sort the above statistics by Bytes descending: Some functions can also be nested, like in the example below the function avg (average) will take as an input the result of eval (evaluating) TotBytes minus SrcBytes. The sort function uses symbols + and - for ascending and descending respectively. For a complete list, check the Splunk docs. Splunk has all the standard mathematical functions at our disposal. Index="mydataindex" | stats avg(eval(TotBytes-SrcBytes)) as Bytes by SrcAddr The bytes sent are calculated resting the TotalBytes - SrcBytes: Index="mydataindex" | stats avg(TotBytes) as Bytes by SrcAddrĬalculate the average of Bytes Sent per source IP. This can be used successively similarly as in Linux.Ĭalculate the average Total Bytes per source IP: In Splunk results of a search can be sent to a function using the symbol “|”. List all the flows with Total Bytes bigger than 1000: Index="mydataindex" (Proto=udp OR Proto=tcp) ![]() Below are a series of queries and examples on how to get started. Searching in Splunk is quite intuitive for the most part, however, it really depends on how the data is structured. In the ‘Input Settings’ make sure you specify a host name and the Index that was created before (mydataindex). binetflow, you can still specify the type of data in the next stages (Source type > Structured > csv).Ĭontinue the process making sure the data format is correct and that all the columns are interpreted (see figure below). Note: if you want to have a smooth upload and parsing experience, just rename the file to _win11.csv and Splunk will automatically recognize the columns. The file with the CSV netflow in that case is called _win11.binetflow. It is possible to download netflows to test from our Malware Datasets, i.e. The flows are generated using CSV format which can easily be parsed by Splunk. In our case, we are working typically with netflows generated by Argus. This is more flexible as later we can just put any data there and it will be automatically indexed.Ī new data inputs can be added from Settings > Add Data > Upload. Second option: monitoring a folder in the docker container. To keep it simple, we will use one of the two following methods:įirst option: uploading a file directly from our computer. There are many ways of adding data to Splunk. SOURCE: the source indicates the actual source of data, the filename of the file that was uploaded to Splunk. You can send data from multiple sources to the same splunk instance. HOST: a host in Splunk indicates where the data comes from. Note: at this moment of getting started this will be enough and we will not get into details of the possible configurations of the indexes. To create a new Index go to Settings > Indexes > New index.įill the name ‘mydataindex’ & click ‘Save’. There are default indexes that can be used when uploading data, but it is better to create your own. INDEX: an index in Splunk is like a repository of data. In Splunk data is grouped in indexes, hosts and sources. ![]() Recommended when doing special operations or debugging visualizations.īefore we move into the search part, let’s first ingest some data. If you do the same search in any other mode, the statistics and data table will not be filled. ![]() For instance, if you do a visualization in Verbose mode, the statistics and data table will also be available. Verbose search: consumes much more resources as it shows not only what you searched for but it makes all the data available as well. Smart search: consumes more resources than the Fast search, but shows you all related fields associated to the search query you did. Recommended for using when visualizing or processing statistics. There are three different search modes that condition the resources Splunk will use to show you the results of your search query:įast search: consumes low resources, it’s fast, only shows what you strictly search for. Time range picker: this time range applies to the results of your queries. ![]() Search bar: this is where your Splunk search queries go. Main menu to administer the instance: data indexing, configurations, etc. The key elements highlighted in the above image are: The image above shows the view of the main app known as ‘Search & Reporting’. Splunk is developed in a modular way by what are known as apps. ![]()
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