I want to extract the IP-Adress in the brackets and do a reverse lookup on that. This is a sample sendmail event: Apr 6 17:08:38 splunk3 sendmail: n36N8bTs010153: from=, size=0, class=0, nrcpts=0, proto=SMTP, daemon=MTA, relay= Now if you want to have reverse lookups done automatically this is a (not exactly perfect) example Yoursearch | lookup dnsLookup ip as my_own_fieldname To do reverse lookups it is the same you just need to have a field with an ip-address, again add the as my_own_fieldname if the field is not called "ip" yoursearch | lookup dnsLookup ip However, any Syslog configuration should be completed in System local directory. Yoursearch | lookup dnsLookup host as my_own_field app.conf nf nf nf nf nf Splunk standard practice indicates all configuration should be completed in app local directory. However, combining it with a general drop transform seems to be different. I already have been playing around with the MetaData:Index key which seems to work just fine when applied as single transform for a certain source. If you have a different field that you want to use as the hostfield 1) Route all data matching a certain regex to a specific index on my indexer. So if you have the following in nf Įxternal_cmd = external_lookup.py host ip The nf will only do the lookup automatically on the sourcetype/source/host you specify To get started the definition in transforms is enough. That means it will be reflected in the raw data.You are right, I think the guide is not quite correct, the "external_lookup.py" should be "dnsLookup" in nf. Then according to our requirement we captured the whole expression in three parts by using parenthesis “()”.įORMAT – We mentioned all brackets by $1,$2,$3 etc like this and the portion you want to mask doesn’t need to be defined like that, for that you can use hard coded characters ( XXXX) as we did.ĭEST_KEY – _raw. REGEX – Within the nf at first using REGEX we defined whole data through regular expression. – Stanza name/ transformation name, which we have mentioned in the nf Within the nf write the following REGEX = (Account\s+number\s+of\s+\w+\s+is\s+)(\d\d\d\d)(\d\d\d) FORMAT = $1xxxx$3 DEST_KEY = _raw SHOULD_LINEMERGE = false TRANSFORMS-mask = one # cd /opt/splunk/etc/system/local #vi nfĪnd within the nf write the following lines. No go to your Heavy forwarder and create nf for to create transforms name. So go to $SPLUNK_HOME/etc/system/local and create nf # cd /opt/splunkforwarder/etc/system/local # vi nfĪnd within that write the following index = emp_acc sourcetype = maskingnew Splunk also maintains a list ofuseful third-party tools for writing and testing regular you create a stanza nfthat. In our case the above data is located under /tmp directory. Go to the Universal forwarder and create nf to forward the data. For configuring a field transform in Splunk Web, see manage field transforms. Here we will try to mask the first four digits of the account number with XXXX and the last three digits will be visible. This section shows you how to configure field transforms in nf. This is the stanza defined in nf lookupname filename lookupname.csv. Account number of sarada is 1234567Īnd we want to see it like this Account number of sarada is XXXX567 I have created a lookup in the LOOKUP folder placed in local. But today we will try to do the same through nf. As we all know basically we do masking through nf using SEDCMD attribute. Today we are back with a topic of Splunk administration which is How can we implement masking using nf. By editing nf, nf, and nf, you can configure a heavy forwarder to route data conditionally to third-party systems, in the same way that it routes data conditionally to other. Hi, I hope everyone is really doing well. Splunk forwarders can forward raw data to non-Splunk systems over a plain TCP socket or packaged in.
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