2026-04-13 10-31-04

May 25, 2026 15:04 · 12:33 · English · Whisper Turbo · 2 غږوونکي
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S… Speaker 1 (2026-04-13 10-31-04)
In this video,
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we're going to take a look at a couple of the search language options
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that are available in ELK.
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So first of all,
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when we're searching with Elk,
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it does have multiple different query languages that can
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be used.
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The first one we're going to look at is KQL,
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the Kibana Query Language.
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A little difficult to say there.
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S… Speaker 2 (2026-04-13 10-31-04)
It is the kind of the faster,
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the simpler of the query languages that's available in
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S… Speaker 2 (2026-04-13 10-31-04)
Splunk, or then it's available in Elk,
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S… Speaker 1 (2026-04-13 10-31-04)
excuse me.
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S… Speaker 2 (2026-04-13 10-31-04)
It is typically based off of just filter -based searches
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S… Speaker 2 (2026-04-13 10-31-04)
and filter -based matching.
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Now, if we want to compare KQL and SPL,
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the language used in Splunk,
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KQL is typically going to be a lot simpler.
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S… Speaker 2 (2026-04-13 10-31-04)
It is primarily just your field -based matches,
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S… Speaker 2 (2026-04-13 10-31-04)
and it doesn't really offer any options for visualizations or
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the commands that we've seen in Splunk if you've watched some of those other
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videos.
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So KQL is...
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S… Speaker 2 (2026-04-13 10-31-04)
Primarily just going to be your raw log searches,
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S… Speaker 2 (2026-04-13 10-31-04)
looking for information in different fields,
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S… Speaker 2 (2026-04-13 10-31-04)
and that's pretty much the limitation of it.
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You also have what's known as EQL,
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the Elastic Search Query Language.
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This kind of excels at correlating
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events and searching based on kind of multi
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-step actions or what they call sequences.
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So let's start off by taking a look at KQL.
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KQL is done,
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like I said,
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S… Speaker 2 (2026-04-13 10-31-04)
primarily off of your field -based searching.
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You use the colon for the kind of equals,
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where if you want,
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again, compared to Splunk,
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Splunk used the equal sign for equals.
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KQL uses the colon instead.
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It does offer Boolean logic as well,
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using and,
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or, not,
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things like that.
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And it does have the option for wildcard usage as
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well.
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You can also,
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based on the results you get,
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you can select individual fields to just kind
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of add filters on an ad hoc basis without necessarily
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typing them into the search.
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There are some typical best practices for
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KQL.
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Number one, you want to try and if you can stick with your field -based
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searches instead of your full text searches.
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And by that,
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I mean doing like,
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you know, field colon to equal something and then whatever you're searching
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for.
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You can do just a wide full text search,
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but this can potentially have performance
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impacts when you're doing searches similar to Splunk.
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A lot of the same best practices are going to apply
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here with the addition of being able to save,
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easily save your commonly used queries to kind of just easily
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pull them back up and repeat a search.
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But again,
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a lot of your same best practices for KQL will still apply.
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making sure you have the right time frame selected,
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using fields as appropriate for the searches,
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and then limiting the use of the wildcard usage
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when it's practical.
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It's still okay to use it because sometimes you do need to use wildcards in your searches.
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But when it's practical,
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you should try to avoid it just to avoid the performance
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hit, especially when you're searching through hundreds of thousands or
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millions of events.
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So let's go ahead and jump back over to our lab environment and take a look at
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some examples of searches in KQL just to see
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what those look like again.
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S… Speaker 1 (2026-04-13 10-31-04)
All right,
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over here in the ELK search,
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we can do a very simple search like we looked at in a previous video
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just by searching for a specific event code.
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I almost started typing some Splunk language in there.
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So we're looking here for event ID 11,
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basically the file creation event in Sysmon.
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In Elk,
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you do event .code and a colon for equals and
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11.
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Whereas in Splunk,
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it would actually look like that.
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So there's the comparison between the two.
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Now you can also use Boolean searches here as it so
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helpfully suggests right there.
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So say we want to find any file that
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was created that had PDF in
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the name.
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So we are just doing a kind of a blanket search.
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So right here with the PDF,
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we are not searching a specific field.
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We're looking for anywhere that the letters PDF show
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up in.
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the event in general.
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And we get no results there,
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which is perfectly fine.
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That's not abnormal.
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You can also add,
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let's go back to just showing our file creation events.
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You can expand any of the events here and add
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any of these fields as a filter very easy.
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So let's say we are looking for,
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we want to add the log level of information here.
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We can just come over here and filter for value on the left -hand
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side of the result.
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And it will add that as a filter up in this section right
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there.
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So we see log .level colon information.
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It is practically the exact same thing as just typing
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it into the search box,
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except you just didn't have to type it.
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If you want to get rid of that event or that filter there,
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you just click the X next to it and it's gone.
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In addition,
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you can do grouping.
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So let's say we want to search in the
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security log.
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So we're going to search win log
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channel,
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and we want to match the security channel.
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And we want to search specific events in there.
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So we will do,
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move the cursor out of the way.
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We will do an open parentheses.
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And you can see there that elk automatically completes the other
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side of the parentheses there.
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So don't let that trip you up.
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Sometimes I do,
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and I'll type the closing parentheses as well.
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And it may not see that,
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and it'll give you syntax errors.
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So if we want to do some grouping here,
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we'll type winlog.
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event underscore ID.
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And again, you have the suggestions here based on what it
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thinks you're looking for.
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So we're going to look for event ID 4688
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or event ID
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4698.
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So this is searching in the security
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logs.
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for either of these two events.
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So very similar syntax as you would see in Splunk
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as far as how the searches are kind of grouped
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together and how they're formatted.
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Different syntax than Splunk,
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but similar formatting for how you want to use Booleans and
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grouping and things like that.
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So that's the KQL language.
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Let's jump back over to these slides and take a look at what EQL
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is.
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All right,
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looking at EQL now,
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remember EQL stands for Elastic Search Query Language.
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The strength of EQL is kind of
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the multi -step attacks or multi -step events through the
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use of sequences.
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And we'll look at that here in just a second.
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So a simple query in EQL would look like some
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type of event,
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some type of thing that you're searching for,
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regardless of what it is,
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that matches a condition.
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So event type where condition matches.
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So basically,
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if you're looking for a running PowerShell process,
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you would do process where process .name
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equals...
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PowerShell.
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And you notice there the equals is actually two equal signs
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as opposed to KQL that uses a colon or
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Splunk that uses a single equal sign.
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So this EQL uses a number of different operators
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there.
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So you have your regular equals,
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which is just two equal signs.
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The exclamation point with the equal sign means does not equal.
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Then you have your typical less than,
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greater than,
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and then your Booleans and,
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or, and not.
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So similar to Splunk in part of that,
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but it does use,
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again,
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the double equals sign for equals,
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so don't let that throw you off.
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Now again,
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where...
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eql excels here is in what's known as
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sequences basically this happened and then this
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happened a sequence of events and the
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kind of the syntax for this looks like what you see here
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starts off with the keyword of sequence and this basically
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tells eql or tells elk
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that Euthysis should be an ordered series of events.
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So sequence by host name basically says
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that this field should be shared across all the
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events that are returned or searched through.
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They also see with max span equals 5m.
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That's optional,
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but what it does is it basically says between
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the first event we list there and the second one,
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these sections in brackets,
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only five minutes should have pass.
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So it's only,
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basically it constrains those matching results
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to within a certain time span.
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And then each of those entries in the brackets there is
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a step in the sequence.
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So our first step in the sequence here would be
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the process where process name is command.
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So basically,
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we're looking at any process.
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The first part of this should be searching for
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processes that are command prompts,
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essentially.
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And the second line of it,
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the second step,
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says basically,
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again, within five minutes,
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this process should reach out.
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Basically,
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we're searching to see if the command process reached out to
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a destination port of 4444.
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So this would find any hosts.
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where command .exe ran,
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and then within five minutes made a connection to
11:16
S… Speaker 1 (2026-04-13 10-31-04)
that port 4444.
11:18
S… Speaker 1 (2026-04-13 10-31-04)
So you can see where this can be very powerful when performing
11:23
S… Speaker 1 (2026-04-13 10-31-04)
threat hunts,
11:24
S… Speaker 1 (2026-04-13 10-31-04)
being able to build the sequences like this.
11:27
S… Speaker 1 (2026-04-13 10-31-04)
Now one thing about EQL.
11:31
S… Speaker 1 (2026-04-13 10-31-04)
These searches don't work.
11:33
S… Speaker 1 (2026-04-13 10-31-04)
You don't do these in the same interface we just took
11:37
S… Speaker 2 (2026-04-13 10-31-04)
a look at.
11:37
S… Speaker 1 (2026-04-13 10-31-04)
That is for KQL searches.
11:39
S… Speaker 1 (2026-04-13 10-31-04)
EQL uses the EQL search API,
11:43
S… Speaker 1 (2026-04-13 10-31-04)
not the discovery section or the discover section like KQL.
11:48
S… Speaker 1 (2026-04-13 10-31-04)
Since we're just starting out with ELK,
11:51
S… Speaker 1 (2026-04-13 10-31-04)
we're going to stick with KQL for now.
11:54
S… Speaker 1 (2026-04-13 10-31-04)
Now for the ECTPH exam,
12:00
S… Speaker 1 (2026-04-13 10-31-04)
You don't need to know EQL.
12:03
S… Speaker 1 (2026-04-13 10-31-04)
KQL is all you need to know for the exam.
12:07
S… Speaker 1 (2026-04-13 10-31-04)
So that is what we're going to focus on in the rest of this
12:11
S… Speaker 1 (2026-04-13 10-31-04)
course, or at least in this section on ELK for this course.
12:15
S… Speaker 1 (2026-04-13 10-31-04)
It's going to be KQL,
12:16
S… Speaker 1 (2026-04-13 10-31-04)
so the simpler language,
12:18
S… Speaker 1 (2026-04-13 10-31-04)
because it is easier to use.
12:20
S… Speaker 1 (2026-04-13 10-31-04)
It does not require any kind of API setup or any kind of communication with
12:25
S… Speaker 1 (2026-04-13 10-31-04)
an API.
12:25
S… Speaker 1 (2026-04-13 10-31-04)
It's all done in the web browser.

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