![]() | outputlookup override_if_empty=false urlhaus-filter-splunk-online.csv Copy host Those commands has wildcard_suffix argument to append wildcard to the field’s values. The add-on includes geturlhausfilter command along with other commands to update their respective lookup file. Urlhaus-filter malicious website detected | inputlookup urlhaus-filter-splunk-online.csv Copy host The lookup files do not include wildcard affix. To display events in table format, append | table * Wildcard §Īsterisk character ( *) in the lookup file does work as a wildcard. In this example, the subsearch extracts only the dst_ip field and rename it to dst in order to match the same field in the firewall events. ![]() To match for dst value of the firewall events and dst_ip of the lookup file, use a subsearch with inputlookup. Notice the second row’s dst value matches dst_port value of the example lookup table shown in the previous section. ![]() | inputlookup botnet_ip.csv | fields dst_ip | rename dst_ip AS dst Copy dstĮxample firewall events: index=firewall Copy src The output is no different to any other event, we can specify which fields to be displayed and then rename the fields. inputlookup basics § | inputlookup botnet_ip.csv Copy Uploaded lookup file can be used straight away without having to reload app or restart Splunk, regardless of which way it was created. In Splunk Web, setting the permission to app-sharing or global-sharing will automatically moves the file to the second or third location respectively. Lookup file can be uploaded via Splunk Web or creating the file in the following locations: When using that command, there should always be a leading pipe character “|” because it is an event-generating command. We can view the content of a lookup file by using inputlookup. They contain a list of bad IPs/domains/URLs and we are going to look for those values in the events. These CSV files can be used as lookups to find potentially malicious traffic. Splunk Add-on for malware-filter includes the following CSV files:
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